OSGeoLive-Notebooks/Cartopy/cartopy-quiver.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"import numpy as np\n",
"\n",
"import cartopy\n",
"import cartopy.crs as ccrs"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def sample_data(shape=(20, 30)):\n",
" \"\"\"\n",
" Returns ``(x, y, u, v, crs)`` of some vector data\n",
" computed mathematically. The returned crs will be a rotated\n",
" pole CRS, meaning that the vectors will be unevenly spaced in\n",
" regular PlateCarree space.\n",
"\n",
" \"\"\"\n",
" crs = ccrs.RotatedPole(pole_longitude=177.5, pole_latitude=37.5)\n",
"\n",
" x = np.linspace(311.9, 391.1, shape[1])\n",
" y = np.linspace(-23.6, 24.8, shape[0])\n",
"\n",
" x2d, y2d = np.meshgrid(x, y)\n",
" u = 10 * (2 * np.cos(2 * np.deg2rad(x2d) + 3 * np.deg2rad(y2d + 30)) ** 2)\n",
" v = 20 * np.cos(6 * np.deg2rad(x2d))\n",
"\n",
" return x, y, u, v, crs\n",
"\n",
"\n",
"def main():\n",
" ax = plt.axes(projection=ccrs.Orthographic(-10, 45))\n",
"\n",
" ax.add_feature(cartopy.feature.OCEAN, zorder=0)\n",
" ax.add_feature(cartopy.feature.LAND, zorder=0, edgecolor='black')\n",
"\n",
" ax.set_global()\n",
" ax.gridlines()\n",
"\n",
" x, y, u, v, vector_crs = sample_data()\n",
" ax.quiver(x, y, u, v, transform=vector_crs)\n",
"\n",
" plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`cartopy.geoaxes.quiver`\n",
"\n",
" **Cartopy matplotlib.quiver PolyCollection.**\n",
"\n",
"Plot a 2-D field of arrows on a projected plane.\n",
"\n",
" Extra Kwargs:\n",
"\n",
" * transform: :class:`cartopy.crs.Projection` or matplotlib transform\n",
" The coordinate system in which the vectors are defined.\n",
"\n",
" * regrid_shape: int or 2-tuple of ints\n",
" If given, specifies that the points where the arrows are\n",
" located will be interpolated onto a regular grid in\n",
" projection space. If a single integer is given then that\n",
" will be used as the minimum grid length dimension, while the\n",
" other dimension will be scaled up according to the target\n",
" extent's aspect ratio. If a pair of ints are given they\n",
" determine the grid length in the x and y directions\n",
" respectively.\n",
"\n",
" * target_extent: 4-tuple\n",
" If given, specifies the extent in the target CRS that the\n",
" regular grid defined by *regrid_shape* will have. Defaults\n",
" to the current extent of the map projection.\n",
"\n",
" See :func:`matplotlib.pyplot.quiver` for details on arguments\n",
" and other keyword arguments.\n",
"\n",
" .. note::\n",
"\n",
" The vector components must be defined as grid eastward and\n",
" grid northward.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"`matplotlib.quiver`\n",
"\n",
" **Specialized PolyCollection for arrows.**\n",
"\n",
"Plot a 2-D field of barbs.\n",
"\n",
"Call signatures::\n",
"\n",
" barb(U, V, **kw)\n",
" barb(U, V, C, **kw)\n",
" barb(X, Y, U, V, **kw)\n",
" barb(X, Y, U, V, C, **kw)\n",
"\n",
"*Arguments:*\n",
"\n",
" *X*, *Y*:\n",
" The x and y coordinates of the barb locations\n",
" (default is head of barb; see *pivot* kwarg)\n",
"\n",
" *U*, *V*:\n",
" Give the x and y components of the barb shaft\n",
"\n",
" *C*:\n",
" An optional array used to map colors to the barbs\n",
"\n",
"All arguments may be 1-D or 2-D arrays or sequences. If *X* and *Y*\n",
"are absent, they will be generated as a uniform grid. If *U* and *V*\n",
"are 2-D arrays but *X* and *Y* are 1-D, and if ``len(X)`` and ``len(Y)``\n",
"match the column and row dimensions of *U*, then *X* and *Y* will be\n",
"expanded with :func:`numpy.meshgrid`.\n",
"\n",
" *U*, *V*, *C* may be masked arrays, but masked *X*, *Y* are not\n",
" supported at present.\n",
"\n",
"*Keyword arguments:*\n",
"\n",
" *length*:\n",
" Length of the barb in points; the other parts of the barb\n",
" are scaled against this.\n",
" Default is 9\n",
"\n",
" *pivot*: [ 'tip' | 'middle' ]\n",
" The part of the arrow that is at the grid point; the arrow rotates\n",
" about this point, hence the name *pivot*. Default is 'tip'\n",
"\n",
" *barbcolor*: [ color | color sequence ]\n",
" Specifies the color all parts of the barb except any flags. This\n",
" parameter is analagous to the *edgecolor* parameter for polygons,\n",
" which can be used instead. However this parameter will override\n",
" facecolor.\n",
"\n",
" *flagcolor*: [ color | color sequence ]\n",
" Specifies the color of any flags on the barb. This parameter is\n",
" analagous to the *facecolor* parameter for polygons, which can be\n",
" used instead. However this parameter will override facecolor. If\n",
" this is not set (and *C* has not either) then *flagcolor* will be\n",
" set to match *barbcolor* so that the barb has a uniform color. If\n",
" *C* has been set, *flagcolor* has no effect.\n",
"\n",
" *sizes*:\n",
" A dictionary of coefficients specifying the ratio of a given\n",
" feature to the length of the barb. Only those values one wishes to\n",
" override need to be included. These features include:\n",
"\n",
" - 'spacing' - space between features (flags, full/half barbs)\n",
"\n",
" - 'height' - height (distance from shaft to top) of a flag or\n",
" full barb\n",
"\n",
" - 'width' - width of a flag, twice the width of a full barb\n",
"\n",
" - 'emptybarb' - radius of the circle used for low magnitudes\n",
"\n",
" *fill_empty*:\n",
" A flag on whether the empty barbs (circles) that are drawn should\n",
" be filled with the flag color. If they are not filled, they will\n",
" be drawn such that no color is applied to the center. Default is\n",
" False\n",
"\n",
" *rounding*:\n",
" A flag to indicate whether the vector magnitude should be rounded\n",
" when allocating barb components. If True, the magnitude is\n",
" rounded to the nearest multiple of the half-barb increment. If\n",
" False, the magnitude is simply truncated to the next lowest\n",
" multiple. Default is True\n",
"\n",
" *barb_increments*:\n",
" A dictionary of increments specifying values to associate with\n",
" different parts of the barb. Only those values one wishes to\n",
" override need to be included.\n",
"\n",
" - 'half' - half barbs (Default is 5)\n",
"\n",
" - 'full' - full barbs (Default is 10)\n",
"\n",
" - 'flag' - flags (default is 50)\n",
"\n",
" *flip_barb*:\n",
" Either a single boolean flag or an array of booleans. Single\n",
" boolean indicates whether the lines and flags should point\n",
" opposite to normal for all barbs. An array (which should be the\n",
" same size as the other data arrays) indicates whether to flip for\n",
" each individual barb. Normal behavior is for the barbs and lines\n",
" to point right (comes from wind barbs having these features point\n",
" towards low pressure in the Northern Hemisphere.) Default is\n",
" False\n",
"\n",
"Barbs are traditionally used in meteorology as a way to plot the speed\n",
"and direction of wind observations, but can technically be used to\n",
"plot any two dimensional vector quantity. As opposed to arrows, which\n",
"give vector magnitude by the length of the arrow, the barbs give more\n",
"quantitative information about the vector magnitude by putting slanted\n",
"lines or a triangle for various increments in magnitude, as show\n",
"schematically below::\n",
"\n",
" : /\\ \\\\\n",
" : / \\ \\\\\n",
" : / \\ \\ \\\\\n",
" : / \\ \\ \\\\\n",
" : ------------------------------\n",
"\n",
".. note the double \\\\ at the end of each line to make the figure\n",
".. render correctly\n",
"\n",
"The largest increment is given by a triangle (or \"flag\"). After those\n",
"come full lines (barbs). The smallest increment is a half line. There\n",
"is only, of course, ever at most 1 half line. If the magnitude is\n",
"small and only needs a single half-line and no full lines or\n",
"triangles, the half-line is offset from the end of the barb so that it\n",
"can be easily distinguished from barbs with a single full line. The\n",
"magnitude for the barb shown above would nominally be 65, using the\n",
"standard increments of 50, 10, and 5.\n",
"\n",
"linewidths and edgecolors can be used to customize the barb.\n",
"Additional :class:`~matplotlib.collections.PolyCollection` keyword\n",
"arguments:\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"matplotlib.__version__ => 3.1.2\n"
]
}
],
"source": [
"print( 'matplotlib.__version__ => ' + matplotlib.__version__ )\n"
]
},
{
"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
}