From e4f8d7fadad6e956722ff4a2ba8aa91db8bdde6a Mon Sep 17 00:00:00 2001 From: Brian M Hamlin Date: Tue, 11 May 2021 22:07:16 +0000 Subject: [PATCH] rm a few broken ipynb; typos fixed; no major change --- Cartopy/cartopy-citylights.ipynb | 145 - Cartopy/cartopy-rasterio-plot.ipynb | 221 - Cartopy/xcartopy-earth-at-night.ipynb | 85 - Cartopy/xcartopy-wmts-reprojection.ipynb | 177 - Cartopy/xcartopy-wmts.ipynb | 157 - Fiona/fiona-shapely-mapnik.ipynb | 4 +- R/R_spatial_introduction.ipynb | 8 +- Shapely/shapely-point-in-poly.ipynb | 18 + index.ipynb | 55 - introduction-to-jupyter-notebook.ipynb | 258 - mapnik-py/mapnik_draw_example.ipynb | 6629 +--------------------- 11 files changed, 53 insertions(+), 7704 deletions(-) delete mode 100644 Cartopy/cartopy-citylights.ipynb delete mode 100644 Cartopy/cartopy-rasterio-plot.ipynb delete mode 100644 Cartopy/xcartopy-earth-at-night.ipynb delete mode 100644 Cartopy/xcartopy-wmts-reprojection.ipynb delete mode 100644 Cartopy/xcartopy-wmts.ipynb delete mode 100644 index.ipynb delete mode 100644 introduction-to-jupyter-notebook.ipynb diff --git a/Cartopy/cartopy-citylights.ipynb b/Cartopy/cartopy-citylights.ipynb deleted file mode 100644 index da45952..0000000 --- a/Cartopy/cartopy-citylights.ipynb +++ /dev/null @@ -1,145 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Interactive WMTS (Web Map Tile Service)\n", - "---------------------------------------\n", - "\n", - "This example demonstrates the interactive pan and zoom capability\n", - "supported by an OGC web services Web Map Tile Service (WMTS) aware axes.\n", - "\n", - "The example WMTS layer is a single composite of data sampled over nine days\n", - "in April 2012 and thirteen days in October 2012 showing the Earth at night.\n", - "It does not vary over time.\n", - "\n", - "The imagery was collected by the Suomi National Polar-orbiting Partnership\n", - "(Suomi NPP) weather satellite operated by the United States National Oceanic\n", - "and Atmospheric Administration (NOAA)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "def main():\n", - " url = 'https://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'\n", - " layer = 'VIIRS_CityLights_2012'\n", - "\n", - " fig = plt.figure()\n", - " ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", - " ax.add_wmts(url, layer)\n", - " ax.set_extent([-15, 25, 35, 60], crs=ccrs.PlateCarree())\n", - "\n", - " ax.set_title('Suomi NPP Earth at night April/October 2012')\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "ename": "SSLError", - "evalue": "HTTPSConnectionPool(host='map1c.vis.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts-geo/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 485\u001b[0;31m \u001b[0mcnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 486\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWantReadError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36mdo_handshake\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1914\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_do_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1915\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_ssl_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36m_raise_ssl_error\u001b[0;34m(self, ssl, result)\u001b[0m\n\u001b[1;32m 1646\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1647\u001b[0;31m \u001b[0m_raise_current_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1648\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/_util.py\u001b[0m in \u001b[0;36mexception_from_error_queue\u001b[0;34m(exception_type)\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexception_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mError\u001b[0m: [('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')]", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 664\u001b[0m \u001b[0;31m# Make the request on the httplib connection object.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 665\u001b[0;31m httplib_response = self._make_request(\n\u001b[0m\u001b[1;32m 666\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 376\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 377\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 995\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"sock\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# AppEngine might not have `.sock`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py\u001b[0m in \u001b[0;36mconnect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 366\u001b[0;31m self.sock = ssl_wrap_socket(\n\u001b[0m\u001b[1;32m 367\u001b[0m \u001b[0msock\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/ssl_.py\u001b[0m in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mHAS_SNI\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mserver_hostname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 370\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrap_socket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mserver_hostname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mserver_hostname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 371\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 490\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mssl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"bad handshake: %r\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 492\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSSLError\u001b[0m: (\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\",)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mMaxRetryError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 438\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 439\u001b[0;31m resp = conn.urlopen(\n\u001b[0m\u001b[1;32m 440\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 718\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 719\u001b[0;31m retries = retries.increment(\n\u001b[0m\u001b[1;32m 720\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py\u001b[0m in \u001b[0;36mincrement\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 436\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 437\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mMaxRetryError\u001b[0m: HTTPSConnectionPool(host='map1c.vis.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts-geo/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mccrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_wmts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlayer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_extent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m25\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m35\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m60\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mccrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - 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"\u001b[0;32m/usr/lib/python3/dist-packages/owslib/wmts.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, url, version, xml, username, password, parse_remote_metadata, vendor_kwargs, headers, auth, timeout)\u001b[0m\n\u001b[1;32m 175\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_capabilities\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadString\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 176\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# read from server\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 177\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_capabilities\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvendor_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 178\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0;31m# Avoid building capabilities metadata if the response is a\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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"\u001b[0;31mSSLError\u001b[0m: HTTPSConnectionPool(host='map1c.vis.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts-geo/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "main()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Cartopy/cartopy-rasterio-plot.ipynb b/Cartopy/cartopy-rasterio-plot.ipynb deleted file mode 100644 index a52b809..0000000 --- a/Cartopy/cartopy-rasterio-plot.ipynb +++ /dev/null @@ -1,221 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "\n", - "from osgeo import gdal\n", - "from osgeo import gdal_array\n", - "\n", - "import rasterio\n", - "import cartopy.crs as ccrs\n", - "\n", - "## DEM plot via cartopy, rasterio, pyplot imshow\n", - "## Live 8.5 * darkblue-b\n", - "##" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "!mkdir sample_data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "==" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "## Rasterio\n", - "## Clean and fast\n", - "## geospatial raster I/O for Python programmers who use Numpy\n", - "\n", - "with rasterio.open('sample_data/SanMateo_CA.tif') as src:\n", - " data = src.read()\n", - " data = np.transpose( data, [1,2,0])\n", - "\n", - "\n", - "## show selected data attributes\n", - "## -------------------------------------\n", - "# type(data) numpy.ma.core.MaskedArray\n", - "# data.ndim 3\n", - "# data.shape (1080, 864, 1)\n", - "# data.dtype dtype('float32')\n", - "\n", - "## NOTE: when using rasterio and matplotlib only,\n", - "## the column order for the trivial case of lat/lon/measure\n", - "## is NOT handled automatically.. \n", - "## column reordering is REQUIRED np.transpose()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'driver': 'GTiff',\n", - " 'dtype': 'float32',\n", - " 'nodata': -3.4028234663852886e+38,\n", - " 'width': 864,\n", - " 'height': 1080,\n", - " 'count': 1,\n", - " 'crs': CRS.from_epsg(4269),\n", - " 'transform': Affine(0.0002777777777780012, 0.0, -122.44000000003291,\n", - " 0.0, -0.0002777777777779992, 37.69999999999724)}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## Rasterio supplies a simple dictionary of important GeoTIFF metadata\n", - "src.meta" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[203.4132 , 203.94624],\n", - " [198.2123 , 197.35855]], dtype=float32)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## numpy ndarray indexing example\n", - "## show the measure values for a 2x2 area\n", - "## no-data options are available using a masked array\n", - "## http://docs.scipy.org/doc/numpy/reference/maskedarray.generic.html#what-is-a-masked-array\n", - "\n", - "data[0:2,0:2,0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## pyplot Image-Show \n", - "## http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow\n", - "##\n", - "## Example of using matplotlib to directly display a GeoTIFF\n", - "##\n", - "## Cartopy supplies a library of mapping transformations\n", - "## use an idiom to calculate the correct display bounds\n", - "##\n", - "## data[:,:,0] refers to a numpy ndarray: all-x, all-y, 0th measure\n", - "##\n", - "\n", - "xmin = src.transform[0]\n", - "xmax = src.transform[0] + src.transform[1]*src.width\n", - "ymin = src.transform[3] + src.transform[5]*src.height\n", - "ymax = src.transform[3]\n", - "\n", - "## Mercator etc..\n", - "crs = ccrs.PlateCarree()\n", - "\n", - "ax = plt.axes(projection=crs)\n", - "plt.imshow( data[:,:,0], origin='upper', \n", - " extent=[xmin, xmax, ymin, ymax], \n", - " cmap=plt.get_cmap('gist_earth'),\n", - " transform=crs, interpolation='nearest')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "==" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## Show the same content, but with a colorbar legend for the data\n", - "##\n", - "plt.figure(figsize=(15, 10))\n", - "ax = plt.subplot(111, projection=ccrs.PlateCarree())\n", - "\n", - "#elev, crs, extent = srtm_composite(12, 47, 1, 1)\n", - "plt.imshow( data[:,:,0], transform=ccrs.PlateCarree(),\n", - " cmap='gist_earth')\n", - "cb = plt.colorbar(orientation='vertical')\n", - "cb.set_label('Altitude')\n", - "plt.title(\"DEM\")\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%whos" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Cartopy/xcartopy-earth-at-night.ipynb b/Cartopy/xcartopy-earth-at-night.ipynb deleted file mode 100644 index 6cb09af..0000000 --- a/Cartopy/xcartopy-earth-at-night.ipynb +++ /dev/null @@ -1,85 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import cartopy\n", - "import cartopy.crs as ccrs\n", - "\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "\n", - "## NASA earth-at-night simple\n", - "## Live 8.5 * darkblue-b\n", - "##" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "## note: requires a live internet connection\n", - "## and availability in your area of NASA wmts service\n", - "\n", - "url = 'http://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'\n", - "layer = 'VIIRS_CityLights_2012'\n", - "\n", - "ax = plt.axes(projection=ccrs.PlateCarree())\n", - "ax.add_wmts(url, layer)\n", - "\n", - "## Set the extent (x0, x1, y0, y1) of the map in the given\n", - "## coordinate system.\n", - "\n", - "ax.set_extent((-123.2, -120, 36.4, 41))\n", - "\n", - "##--\n", - "plt.title('San Francisco Bay Area plus, April/October 2012')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 2", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.15+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Cartopy/xcartopy-wmts-reprojection.ipynb b/Cartopy/xcartopy-wmts-reprojection.ipynb deleted file mode 100644 index d9392fd..0000000 --- a/Cartopy/xcartopy-wmts-reprojection.ipynb +++ /dev/null @@ -1,177 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Displaying WMTS tiled map data on an arbitrary projection\n", - "---------------------------------------------------------\n", - "\n", - "This example displays imagery from a web map tile service on two different\n", - "projections, one of which is not provided by the service.\n", - "\n", - "This result can also be interactively panned and zoomed.\n", - "\n", - "The example WMTS layer is a single composite of data sampled over nine days\n", - "in April 2012 and thirteen days in October 2012 showing the Earth at night.\n", - "It does not vary over time.\n", - "\n", - "The imagery was collected by the Suomi National Polar-orbiting Partnership\n", - "(Suomi NPP) weather satellite operated by the United States National Oceanic\n", - "and Atmospheric Administration (NOAA)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "def plot_city_lights():\n", - " # Define resource for the NASA night-time illumination data.\n", - " base_uri = 'http://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'\n", - " layer_name = 'VIIRS_CityLights_2012'\n", - "\n", - " # Create a Cartopy crs for plain and rotated lat-lon projections.\n", - " plain_crs = ccrs.PlateCarree()\n", - " rotated_crs = ccrs.RotatedPole(pole_longitude=120.0, pole_latitude=45.0)\n", - "\n", - " fig = plt.figure()\n", - "\n", - " # Plot WMTS data in a specific region, over a plain lat-lon map.\n", - " ax = fig.add_subplot(1, 2, 1, projection=plain_crs)\n", - " ax.set_extent([-6, 3, 48, 58], crs=ccrs.PlateCarree())\n", - " ax.coastlines(resolution='50m', color='yellow')\n", - " ax.gridlines(color='lightgrey', linestyle='-')\n", - " # Add WMTS imaging.\n", - " ax.add_wmts(base_uri, layer_name=layer_name)\n", - "\n", - " # Plot WMTS data on a rotated map, over the same nominal region.\n", - " ax = fig.add_subplot(1, 2, 2, projection=rotated_crs)\n", - " ax.set_extent([-6, 3, 48, 58], crs=ccrs.PlateCarree())\n", - " ax.coastlines(resolution='50m', color='yellow')\n", - " ax.gridlines(color='lightgrey', linestyle='-')\n", - " # Add WMTS imaging.\n", - " ax.add_wmts(base_uri, layer_name=layer_name)\n", - "\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "ename": "SSLError", - "evalue": "HTTPSConnectionPool(host='map1c.vis.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts-geo/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 485\u001b[0;31m \u001b[0mcnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 486\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWantReadError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36mdo_handshake\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1914\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_do_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1915\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_ssl_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36m_raise_ssl_error\u001b[0;34m(self, ssl, result)\u001b[0m\n\u001b[1;32m 1646\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1647\u001b[0;31m \u001b[0m_raise_current_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1648\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/_util.py\u001b[0m in \u001b[0;36mexception_from_error_queue\u001b[0;34m(exception_type)\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexception_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mError\u001b[0m: [('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')]", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 664\u001b[0m \u001b[0;31m# Make the request on the httplib connection object.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 665\u001b[0;31m httplib_response = self._make_request(\n\u001b[0m\u001b[1;32m 666\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 376\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 377\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 995\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"sock\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# AppEngine might not have `.sock`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py\u001b[0m in \u001b[0;36mconnect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 366\u001b[0;31m self.sock = ssl_wrap_socket(\n\u001b[0m\u001b[1;32m 367\u001b[0m \u001b[0msock\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/ssl_.py\u001b[0m in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mHAS_SNI\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mserver_hostname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 370\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrap_socket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mserver_hostname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mserver_hostname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 371\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 490\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mssl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"bad handshake: %r\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 492\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSSLError\u001b[0m: (\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\",)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mMaxRetryError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 438\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 439\u001b[0;31m resp = conn.urlopen(\n\u001b[0m\u001b[1;32m 440\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 718\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 719\u001b[0;31m retries = retries.increment(\n\u001b[0m\u001b[1;32m 720\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py\u001b[0m in \u001b[0;36mincrement\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[0;32mif\u001b[0m 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'wrong signature type')])\")))", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplot_city_lights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mplot_city_lights\u001b[0;34m()\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lightgrey'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinestyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;31m# Add WMTS imaging.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_wmts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase_uri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlayer_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlayer_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0;31m# Plot WMTS data on a rotated map, over the same nominal region.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/cartopy/mpl/geoaxes.py\u001b[0m in \u001b[0;36madd_wmts\u001b[0;34m(self, wmts, layer_name, wmts_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 2013\u001b[0m \"\"\"\n\u001b[1;32m 2014\u001b[0m \u001b[0;32mfrom\u001b[0m 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179\u001b[0m \u001b[0;31m# Avoid building capabilities metadata if the response is a\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/owslib/wmts.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, service_url, vendor_kwargs)\u001b[0m\n\u001b[1;32m 827\u001b[0m \u001b[0;31m# now split it up again to use the generic openURL function...\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 828\u001b[0m \u001b[0mspliturl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetcaprequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'?'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 829\u001b[0;31m \u001b[0mu\u001b[0m \u001b[0;34m=\u001b[0m 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(approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_SSLError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0;31m# This branch is for urllib3 v1.22 and later.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 514\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 515\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 516\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSSLError\u001b[0m: HTTPSConnectionPool(host='map1c.vis.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts-geo/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/lib/python3/dist-packages/cartopy/io/__init__.py:260: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/physical/ne_50m_coastline.zip\n", - " warnings.warn('Downloading: {}'.format(url), DownloadWarning)\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plot_city_lights()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Cartopy/xcartopy-wmts.ipynb b/Cartopy/xcartopy-wmts.ipynb deleted file mode 100644 index d4822e8..0000000 --- a/Cartopy/xcartopy-wmts.ipynb +++ /dev/null @@ -1,157 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Web Map Tile Service time dimension demonstration\n", - "-------------------------------------------------\n", - "\n", - "This example further demonstrates WMTS support within cartopy. Optional\n", - "keyword arguments can be supplied to the OGC WMTS 'gettile' method. This\n", - "allows for the specification of the 'time' dimension for a WMTS layer\n", - "which supports it.\n", - "\n", - "The example shows satellite imagery retrieved from NASA's Global Imagery\n", - "Browse Services for 5th Feb 2016. A true color MODIS image is shown on\n", - "the left, with the MODIS false color 'snow RGB' shown on the right." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.patheffects as PathEffects\n", - "from owslib.wmts import WebMapTileService\n", - "\n", - "import cartopy.crs as ccrs\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "def main():\n", - " # URL of NASA GIBS\n", - " URL = 'http://gibs.earthdata.nasa.gov/wmts/epsg4326/best/wmts.cgi'\n", - " wmts = WebMapTileService(URL)\n", - "\n", - " # Layers for MODIS true color and snow RGB\n", - " layers = ['MODIS_Terra_SurfaceReflectance_Bands143',\n", - " 'MODIS_Terra_CorrectedReflectance_Bands367']\n", - "\n", - " date_str = '2016-02-05'\n", - "\n", - " # Plot setup\n", - " plot_CRS = ccrs.Mercator()\n", - " geodetic_CRS = ccrs.Geodetic()\n", - " x0, y0 = plot_CRS.transform_point(4.6, 43.1, geodetic_CRS)\n", - " x1, y1 = plot_CRS.transform_point(11.0, 47.4, geodetic_CRS)\n", - " ysize = 8\n", - " xsize = 2 * ysize * (x1 - x0) / (y1 - y0)\n", - " fig = plt.figure(figsize=(xsize, ysize), dpi=100)\n", - "\n", - " for layer, offset in zip(layers, [0, 0.5]):\n", - " ax = fig.add_axes([offset, 0, 0.5, 1], projection=plot_CRS)\n", - " ax.set_xlim((x0, x1))\n", - " ax.set_ylim((y0, y1))\n", - " ax.add_wmts(wmts, layer, wmts_kwargs={'time': date_str})\n", - " txt = ax.text(4.7, 43.2, wmts[layer].title, fontsize=18, color='wheat',\n", - " transform=geodetic_CRS)\n", - " txt.set_path_effects([PathEffects.withStroke(linewidth=5,\n", - " foreground='black')])\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "ename": "SSLError", - "evalue": "HTTPSConnectionPool(host='gibs.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts/epsg4326/best/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 485\u001b[0;31m \u001b[0mcnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 486\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWantReadError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36mdo_handshake\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1914\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_do_handshake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1915\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_ssl_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36m_raise_ssl_error\u001b[0;34m(self, ssl, result)\u001b[0m\n\u001b[1;32m 1646\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1647\u001b[0;31m \u001b[0m_raise_current_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1648\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/OpenSSL/_util.py\u001b[0m in \u001b[0;36mexception_from_error_queue\u001b[0;34m(exception_type)\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexception_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mError\u001b[0m: [('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')]", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 664\u001b[0m \u001b[0;31m# Make the request on the httplib connection object.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 665\u001b[0;31m httplib_response = self._make_request(\n\u001b[0m\u001b[1;32m 666\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 376\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 377\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 995\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"sock\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# AppEngine might not have `.sock`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py\u001b[0m in \u001b[0;36mconnect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 366\u001b[0;31m self.sock = ssl_wrap_socket(\n\u001b[0m\u001b[1;32m 367\u001b[0m \u001b[0msock\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/ssl_.py\u001b[0m in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mHAS_SNI\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mserver_hostname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 370\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrap_socket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mserver_hostname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mserver_hostname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 371\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mwrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname)\u001b[0m\n\u001b[1;32m 490\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mssl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"bad handshake: %r\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 492\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSSLError\u001b[0m: (\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\",)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mMaxRetryError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 438\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 439\u001b[0;31m resp = conn.urlopen(\n\u001b[0m\u001b[1;32m 440\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 718\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 719\u001b[0;31m retries = retries.increment(\n\u001b[0m\u001b[1;32m 720\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py\u001b[0m in \u001b[0;36mincrement\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 436\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 437\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mMaxRetryError\u001b[0m: HTTPSConnectionPool(host='gibs.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts/epsg4326/best/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mSSLError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;31m# URL of NASA GIBS\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mURL\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'http://gibs.earthdata.nasa.gov/wmts/epsg4326/best/wmts.cgi'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mwmts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mWebMapTileService\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mURL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Layers for MODIS true color and snow RGB\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/owslib/wmts.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, url, version, xml, username, password, parse_remote_metadata, vendor_kwargs, headers, auth, timeout)\u001b[0m\n\u001b[1;32m 175\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_capabilities\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadString\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 176\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# read from server\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 177\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_capabilities\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvendor_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 178\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0;31m# Avoid building capabilities metadata if the response is a\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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"\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 666\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 667\u001b[0m \u001b[0;31m# Resolve redirects if allowed.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 668\u001b[0;31m \u001b[0mhistory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mresp\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mresp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mallow_redirects\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 669\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 670\u001b[0m \u001b[0;31m# Shuffle things around if there's history.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 666\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 667\u001b[0m \u001b[0;31m# Resolve redirects if allowed.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 668\u001b[0;31m \u001b[0mhistory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mresp\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mresp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mallow_redirects\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 669\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 670\u001b[0m \u001b[0;31m# Shuffle things around if there's history.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36mresolve_redirects\u001b[0;34m(self, resp, req, stream, timeout, verify, cert, proxies, yield_requests, **adapter_kwargs)\u001b[0m\n\u001b[1;32m 237\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 239\u001b[0;31m resp = self.send(\n\u001b[0m\u001b[1;32m 240\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 241\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 644\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[0;31m# Send the request\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 646\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 647\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 648\u001b[0m \u001b[0;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_SSLError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0;31m# This branch is for urllib3 v1.22 and later.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 514\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 515\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 516\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSSLError\u001b[0m: HTTPSConnectionPool(host='gibs.earthdata.nasa.gov', port=443): Max retries exceeded with url: /wmts/epsg4326/best/wmts.cgi?service=WMTS&request=GetCapabilities&version=1.0.0 (Caused by SSLError(SSLError(\"bad handshake: Error([('SSL routines', 'tls12_check_peer_sigalg', 'wrong signature type')])\")))" - ] - } - ], - "source": [ - "main()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Fiona/fiona-shapely-mapnik.ipynb b/Fiona/fiona-shapely-mapnik.ipynb index 2fb54bc..432f108 100644 --- a/Fiona/fiona-shapely-mapnik.ipynb +++ b/Fiona/fiona-shapely-mapnik.ipynb @@ -42,8 +42,8 @@ "c_shapefile = os.path.join(BASE_FOLDER, 'nc_state.shp')\n", "f = fiona.open(c_shapefile)\n", "shps = list(f)\n", - "print 'f: ',type(f)\n", - "print f.schema" + "print( 'f: ',type(f))\n", + "print( f.schema)" ] }, { diff --git a/R/R_spatial_introduction.ipynb b/R/R_spatial_introduction.ipynb index 8d58c25..25c1647 100755 --- a/R/R_spatial_introduction.ipynb +++ b/R/R_spatial_introduction.ipynb @@ -53,8 +53,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - " Package: sf\n", - " Version: 0.7-7\n", + "##### Package: sf\n", + " Version: 0.9-5\n", " Title: Simple Features for R\n", " Description: Support for simple features, a standardized way to\n", " encode spatial vector data. Binds to 'GDAL' for reading and writing\n", @@ -89,7 +89,7 @@ "metadata": {}, "outputs": [], "source": [ - "sids <- st_read(dsn = \"/usr/local/lib/R/site-library/spData/shapes/sids.shp\" )" + "sids <- st_read(dsn = \"/usr/lib/R/site-library/spData/shapes/sids.shp\" )" ] }, { @@ -293,7 +293,7 @@ "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", - "version": "3.4.4" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/Shapely/shapely-point-in-poly.ipynb b/Shapely/shapely-point-in-poly.ipynb index 899aafa..7b9d337 100644 --- a/Shapely/shapely-point-in-poly.ipynb +++ b/Shapely/shapely-point-in-poly.ipynb @@ -32,6 +32,24 @@ "#t0_poly.to_wkt()" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t0_poly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t0_pt" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/index.ipynb b/index.ipynb deleted file mode 100644 index 6aa1ed8..0000000 --- a/index.ipynb +++ /dev/null @@ -1,55 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# OSGeo-live-Notebooks\n", - "\n", - "This directory host a set of **[IPython Notebook](http://ipython.org/notebook.html)** that are used in the **[OSGeo-live](http://live.osgeo.org/en/index.html)** project to demostrate the capabilities of *Open Source Geospatial Tools* installed on the *OSGeo-Live*.\n", - "To start the *Jupyter Notebook* server on the *OSGeo-Live*, use the *GEOSPATIAL* menu *start Jupyter Notebook*. \n", - "To access to the server select in the same menu *Jupyter Notebook* it will open the browser pointing to the *Jupyter Notebook* dashboard running on ```htpp://localhost:8883``` .\n", - "\n", - "From the OSGeo-Live you can upgrade to the latest version of this repository running the command ```git pull``` from the notebook directory : ```/home/user/jupyter/notebooks```.\n", - "\n", - "\n", - "Table of contents:\n", - "\n", - "\n", - "* [Introduction to jupyter notebook](introduction-to-jupyter-notebook.ipynb)\n", - "* [Software Projects](projects/)\n", - "* [Educational material - GSoC-2015](GSoC-2015/Introduction.ipynb)\n", - "* [SciTools-courses](SciTools-courses/index.ipynb)" - ] - } - ], - "metadata": { - "hide_input": false, - "kernelspec": { - "display_name": "Python", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2.0 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.11+" - }, - "latex_envs": { - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1.0, - "eqLabelWithNumbers": true, - "eqNumInitial": 0.0 - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/introduction-to-jupyter-notebook.ipynb b/introduction-to-jupyter-notebook.ipynb deleted file mode 100644 index 45b9b3b..0000000 --- a/introduction-to-jupyter-notebook.ipynb +++ /dev/null @@ -1,258 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Notebook Basics\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This lesson assumes that the user has Jupyter [installed](http://jupyter.readthedocs.org/en/latest/install.html) and that the notebook server can be started by running:\n", - "\n", - " jupyter notebook\n", - "\n", - "For more details on how to run the notebook server, see [Running the Notebook Server](Running the Notebook Server.ipynb)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Dashboard\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When the notebook server is first started, a browser will be opened to the notebook dashboard. The dashboard serves as a home page for the notebook. Its main purpose is to display the portion of the filesystem accessible by the user, and to provide an overview of the running kernels, terminals, and parallel clusters." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Files Tab\n", - "\n", - "The files tab provides an interactive view of the portion of the filesystem which is accessible by the user. This is typically rooted by the directory in which the notebook server was started.\n", - "\n", - "The top of the files list displays clickable breadcrumbs of the current directory. It is possible to navigate the filesystem by clicking on these breadcrumbs or on the directories displayed in the notebook list.\n", - "\n", - "A new notebook can be created by clicking on the **`New`** dropdown button at the top of the list, and selecting the desired language kernel.\n", - "\n", - "Notebooks can also be uploaded to the current directory by dragging a notebook file onto the list or by clicking the **`Upload`** button at the top of the list.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Running Tab\n", - "\n", - "The running tab displays the currently running notebooks which are known to the server. This view provides a convenient way to track notebooks that have been started during a long running notebook server session.\n", - "\n", - "Each running notebook will have an orange **`Shutdown`** button which can be used to shutdown its associated kernel. Closing the notebook's page is not sufficient to shutdown a kernel.\n", - "\n", - "Running terminals are also listed, provided that the notebook server is running on an operating system which supports PTY.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Clusters Tab\n", - "\n", - "The clusters tab provides a summary view of [IPython Parallel](http://ipyparallel.readthedocs.org/en/latest/) clusters. The IPython Parallel extension must be [installed](https://github.com/ipython/ipyparallel) in order to use this feature.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Notebook\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When a notebook is opened, a new browser tab will be created which presents the notebook user interface (UI). This UI allows for interactively editing and running the notebook document.\n", - "\n", - "A new notebook can be created from the dashboard by clicking on the **`Files`** tab, followed by the **`New`** dropdown button, and then selecting the language of choice for the notebook.\n", - "\n", - "An interactive tour of the notebook UI can be started by selecting **`Help -> User Interface Tour`** from the notebook menu bar." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Header\n", - "\n", - "At the top of the notebook document is a header which contains the notebook title, a menubar, and toolbar. This header remains fixed at the top of the screen, even as the body of the notebook is scrolled. The title can be edited in-place (which renames the notebook file), and the menubar and toolbar contain a variety of actions which control notebook navigation and document structure.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Body\n", - "\n", - "The body of a notebook is composed of cells. Each cell contains either markdown, code input, code output, or raw text. Cells can be included in any order and edited at-will, allowing for a large ammount of flexibility for constructing a narrative.\n", - "\n", - "- **Markdown cells** - These are used to build a nicely formatted narrative around the code in the document. The majority of this lesson is composed of markdown cells.\n", - "\n", - "- **Code cells** - These are used to define the computational code in the document. They come in two forms: the *input cell* where the user types the code to be executed, and the *output cell* which is the representation of the executed code. Depending on the code, this representation may be a simple scalar value, or something more complex like a plot or an interactive widget.\n", - "\n", - "- **Raw cells** - These are used when text needs to be included in raw form, without execution or transformation.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Modality\n", - "\n", - "The notebook user interface is *modal*. This means that the keyboard behaves differently depending upon the current mode of the notebook. A notebook has two modes: **edit** and **command**.\n", - "\n", - "**Edit mode** is indicated by a green cell border and a prompt showing in the editor area. When a cell is in edit mode, you can type into the cell, like a normal text editor.\n", - "\n", - "\n", - "\n", - "**Command mode** is indicated by a grey cell border. When in command mode, the structure of the notebook can be modified as a whole, but the text in individual cells cannot be changed. Most importantly, the keyboard is mapped to a set of shortcuts for efficiently performing notebook and cell actions. For example, pressing **`c`** when in command mode, will copy the current cell; no modifier is needed.\n", - "\n", - "\n", - "\n", - "
\n", - "
\n", - "Enter edit mode by pressing `Enter` or using the mouse to click on a cell's editor area.\n", - "
\n", - "
\n", - "Enter command mode by pressing `Esc` or using the mouse to click *outside* a cell's editor area.\n", - "
\n", - "
\n", - "Do not attempt to type into a cell when in command mode; unexpected things will happen!\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Mouse navigation\n", - "\n", - "The first concept to understand in mouse-based navigation is that **cells can be selected by clicking on them.** The currently selected cell is indicated with a grey or green border depending on whether the notebook is in edit or command mode. Clicking inside a cell's editor area will enter edit mode. Clicking on the prompt or the output area of a cell will enter command mode.\n", - "\n", - "The second concept to understand in mouse-based navigation is that **cell actions usually apply to the currently selected cell**. For example, to run the code in a cell, select it and then click the button in the toolbar or the **`Cell -> Run`** menu item. Similarly, to copy a cell, select it and then click the button in the toolbar or the **`Edit -> Copy`** menu item. With this simple pattern, it should be possible to perform nearly every action with the mouse.\n", - "\n", - "Markdown cells have one other state which can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, a nice formatted representation of the cell's contents will be presented. When they are unrendered, the raw text source of the cell will be presented. To render the selected cell with the mouse, click the button in the toolbar or the **`Cell -> Run`** menu item. To unrender the selected cell, double click on the cell." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Keyboard Navigation\n", - "\n", - "The modal user interface of the IPython Notebook has been optimized for efficient keyboard usage. This is made possible by having two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.\n", - "\n", - "The most important keyboard shortcuts are **`Enter`**, which enters edit mode, and **`Esc`**, which enters command mode.\n", - "\n", - "In edit mode, most of the keyboard is dedicated to typing into the cell's editor. Thus, in edit mode there are relatively few shortcuts. In command mode, the entire keyboard is available for shortcuts, so there are many more possibilities.\n", - "\n", - "The following images give an overview of the available keyboard shortcuts. These can viewed in the notebook at any time via the **`Help -> Keyboard Shortcuts`** menu item.\n", - "\n", - "\n", - "\n", - "The following shortcuts have been found to be the most useful in day-to-day tasks:\n", - "\n", - "- Basic navigation: **`enter`**, **`shift-enter`**, **`up/k`**, **`down/j`**\n", - "- Saving the notebook: **`s`**\n", - "- Cell types: **`y`**, **`m`**, **`1-6`**, **`r`**\n", - "- Cell creation: **`a`**, **`b`**\n", - "- Cell editing: **`x`**, **`c`**, **`v`**, **`d`**, **`z`**, **`ctrl+shift+-`**\n", - "- Kernel operations: **`i`**, **`.`**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Text Editor\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The notebook application has the ability to edit more than just notebook files and code cells. Any plain text file can be edited using the built-in text editor.\n", - "\n", - "The text editor will be opened in a new browser tab whenever a non-notebook text file is accessed from the dashboard. A new text file can also be created from the dashboard by clicking on the **`Files`** tab, followed by the **`New`** dropdown button, and then selecting **`Text File`**.\n", - "\n", - "The text editor has a header which is similar to that of the notebook's, and includes the document title and a menubar. The syntax highlighting for the text file is determined automatically by the file extension. It can also be set manually via the **`Language`** option in the menubar.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Terminal\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the notebook server is run on an operating system which supports [PTY](https://en.wikipedia.org/wiki/Pseudoterminal) (Linux/Mac), then the notebook application will be able to spawn interactive terminal instances. If the operating system does not support PTY (Windows), the terminal feature will not be enabled.\n", - "\n", - "A new terminal can be spawned from the dashboard by clicking on the **`Files`** tab, followed by the **`New`** dropdown button, and then selecting **`Text File`**.\n", - "\n", - "The terminal supports all applications which would otherwise run in a PTY, this includes classical terminal applications like Vim, Nano, and Bash.\n", - "\n", - "" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3.0 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/mapnik-py/mapnik_draw_example.ipynb b/mapnik-py/mapnik_draw_example.ipynb index 832aa91..093f29c 100644 --- a/mapnik-py/mapnik_draw_example.ipynb +++ b/mapnik-py/mapnik_draw_example.ipynb @@ -2,39 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - " 15 maps have been rendered in the current directory:\n", - "- demo.png\n", - "- demo256.png\n", - "- demo64_binary_transparency.png\n", - "- demo128_colors_hextree_no_alpha.png\n", - "- demo_high.jpg\n", - "- demo_low.jpg\n", - "- demo.tif\n", - "- demo.webp\n", - "- demo_med.webp\n", - "- demo_low.webp\n", - "- demo.pdf\n", - "- demo.ps\n", - "- demo.svg\n", - "- demo_cairo_rgb.png\n", - "- demo_cairo_argb.png\n", - "\n", - "\n", - "Have a look!\n", - "\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "#!/usr/bin/env python\n", "# -*- coding: utf-8 -*-\n", @@ -53,7 +23,7 @@ "# reserved in Python! :)\n", "\n", "#root = path.dirname(__file__)\n", - "root = '/home/user/jupyter/ol14_ipynb_misc/mapanik-py/'\n", + "root = '/home/user/jupyter/notebook_gallery/mapnik-py/'\n", "\n", "m = mapnik.Map(800,600,\"+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\")\n", "\n", @@ -82,7 +52,7 @@ "\n", "provpoly_lyr = mapnik.Layer('Provinces')\n", "provpoly_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", - "provpoly_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/boundaries'), encoding='latin1')\n", + "provpoly_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/boundaries.shp'), encoding='latin1')\n", "\n", "# We then define a style for the layer. A layer can have one or many styles.\n", "# Styles are named, so they can be shared across different layers.\n", @@ -151,7 +121,7 @@ "\n", "qcdrain_lyr = mapnik.Layer('Quebec Hydrography')\n", "qcdrain_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", - "qcdrain_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/qcdrainage'))\n", + "qcdrain_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/qcdrainage'))\n", "\n", "qcdrain_style = mapnik.Style()\n", "qcdrain_rule = mapnik.Rule()\n", @@ -172,7 +142,7 @@ "\n", "ondrain_lyr = mapnik.Layer('Ontario Hydrography')\n", "ondrain_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", - "ondrain_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/ontdrainage'))\n", + "ondrain_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/ontdrainage'))\n", "\n", "ondrain_lyr.styles.append('drainage')\n", "m.layers.append(ondrain_lyr)\n", @@ -181,7 +151,7 @@ "\n", "provlines_lyr = mapnik.Layer('Provincial borders')\n", "provlines_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", - "provlines_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/boundaries_l'))\n", + "provlines_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/boundaries_l'))\n", "\n", "# Here we define a \"dash dot dot dash\" pattern for the provincial boundaries.\n", "\n", @@ -205,7 +175,7 @@ "roads34_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", "# create roads datasource (we're going to re-use it later)\n", "\n", - "roads34_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/roads'))\n", + "roads34_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/roads'))\n", "\n", "roads34_style = mapnik.Style()\n", "roads34_rule = mapnik.Rule()\n", @@ -307,7 +277,7 @@ "\n", "popplaces_lyr = mapnik.Layer('Populated Places')\n", "popplaces_lyr.srs = \"+proj=lcc +ellps=GRS80 +lat_0=49 +lon_0=-95 +lat+1=49 +lat_2=77 +datum=NAD83 +units=m +no_defs\"\n", - "popplaces_lyr.datasource = mapnik.Shapefile(file=path.join(root,'../data/popplaces'),encoding='latin1')\n", + "popplaces_lyr.datasource = mapnik.Shapefile(file=path.join(root,'data/popplaces'),encoding='latin1')\n", "\n", "popplaces_style = mapnik.Style()\n", "popplaces_rule = mapnik.Rule()\n", @@ -408,30 +378,16 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "demo128_colors_hextree_no_alpha.png demo_low.jpg demo.webp\r\n", - "demo256.png\t\t\t demo_low.webp map.xml\r\n", - "demo64_binary_transparency.png\t demo.pdf\t README.txt\r\n", - "demo_cairo_argb32.png\t\t demo.png\t rundemo.py\r\n", - "demo_cairo_rgb24.png\t\t demo.ps\t Untitled.ipynb\r\n", - "demo_highest.webp\t\t demo.svg\r\n", - "demo_high.jpg\t\t\t demo.tif\r\n" - ] - } - ], + "outputs": [], "source": [ - "!ls" + "!ls " ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -440,28 +396,16 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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