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@JiaweiZhuang
Created March 19, 2018 23:11
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cartopy imshow examples
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# imshow() and cartopy"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"import cartopy\n",
"import cartopy.crs as ccrs\n",
"import xarray as xr"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cartopy + matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = np.arange(200).reshape(10,20)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x11756da90>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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HD1y+fLk407x48WL6+vqyZs2atLa2ppKSEpWVlenh4cFLly7x9u3bNDAw4OPHjykIAh8+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\nIFhCZhiG6SBYQmYYhukg/g8Brs0cNwFKygAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x115e66588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = plt.axes(projection=ccrs.PlateCarree())\n",
"ax.coastlines()\n",
"ax.set_global()\n",
"ax.imshow(data)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x1176f2278>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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f3nBux29Pu4/SlQ1IwLf//LPj+Pi7ezDsugz8okT+zArWfl9Ga6UDe0PA4+Hh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\nmJMZnOeN6AAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11757f2b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = plt.axes(projection=ccrs.PlateCarree())\n",
"ax.coastlines()\n",
"ax.imshow(data, extent=(-180,180,-90,90))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cartopy +xarray with no coordinate"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"dr = xr.DataArray(data)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x117ac3390>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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LHlvyWqYVn9cRwPdAZSHEMEmS/gdcEEL8/rzcL8BhIcSOl8lQaMt00aJFjB8/vlB1FAoF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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1175f5048>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = plt.axes(projection=ccrs.PlateCarree())\n",
"ax.coastlines()\n",
"ax.set_global()\n",
"dr.plot.imshow()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cartopy +xarray with correct coordinate values"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"dr = xr.DataArray(data, dims=['lat', 'lon'], \n",
" coords = {'lat': np.linspace(-80, 80, 10),\n",
" 'lon': np.linspace(-180, 180, 20, endpoint=False)\n",
" }\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x117b92e10>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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aCkHOTgvVpU78AxX0H+9/OLp/iGNfy3QuaxfX8eoTJfgFKlGpJGa/Vs7+LG8K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\nHBcikUhMerJtaEJnum0Bfi2IXbjQyS0GZGSakNFNZ3YfzdkdODQPi5z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"text/plain": [
"<matplotlib.figure.Figure at 0x10b3f5358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = plt.axes(projection=ccrs.PlateCarree())\n",
"ax.coastlines()\n",
"dr.plot.imshow()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# More details in help"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on method imshow in module xarray.plot.plot:\n",
"\n",
"imshow(y, z, ax, **kwargs) method of xarray.plot.plot._PlotMethods instance\n",
" Image plot of 2d DataArray using matplotlib.pyplot\n",
" \n",
" Wraps :func:`matplotlib:matplotlib.pyplot.imshow`\n",
" \n",
" While other plot methods require the DataArray to be strictly\n",
" two-dimensional, ``imshow`` also accepts a 3D array where some\n",
" dimension can be interpreted as RGB or RGBA color channels and\n",
" allows this dimension to be specified via the kwarg ``rgb=``.\n",
" \n",
" Unlike matplotlib, Xarray can apply ``vmin`` and ``vmax`` to RGB or RGBA\n",
" data, by applying a single scaling factor and offset to all bands.\n",
" Passing ``robust=True`` infers ``vmin`` and ``vmax``\n",
" :ref:`in the usual way <robust-plotting>`.\n",
" \n",
" .. note::\n",
" This function needs uniformly spaced coordinates to\n",
" properly label the axes. Call DataArray.plot() to check.\n",
" \n",
" The pixels are centered on the coordinates values. Ie, if the coordinate\n",
" value is 3.2 then the pixels for those coordinates will be centered on 3.2.\n",
" \n",
" \n",
" Parameters\n",
" ----------\n",
" darray : DataArray\n",
" Must be 2 dimensional, unless creating faceted plots\n",
" x : string, optional\n",
" Coordinate for x axis. If None use darray.dims[1]\n",
" y : string, optional\n",
" Coordinate for y axis. If None use darray.dims[0]\n",
" figsize : tuple, optional\n",
" A tuple (width, height) of the figure in inches.\n",
" Mutually exclusive with ``size`` and ``ax``.\n",
" aspect : scalar, optional\n",
" Aspect ratio of plot, so that ``aspect * size`` gives the width in\n",
" inches. Only used if a ``size`` is provided.\n",
" size : scalar, optional\n",
" If provided, create a new figure for the plot with the given size.\n",
" Height (in inches) of each plot. See also: ``aspect``.\n",
" ax : matplotlib axes object, optional\n",
" Axis on which to plot this figure. By default, use the current axis.\n",
" Mutually exclusive with ``size`` and ``figsize``.\n",
" row : string, optional\n",
" If passed, make row faceted plots on this dimension name\n",
" col : string, optional\n",
" If passed, make column faceted plots on this dimension name\n",
" col_wrap : integer, optional\n",
" Use together with ``col`` to wrap faceted plots\n",
" xincrease : None, True, or False, optional\n",
" Should the values on the x axes be increasing from left to right?\n",
" if None, use the default for the matplotlib function\n",
" yincrease : None, True, or False, optional\n",
" Should the values on the y axes be increasing from top to bottom?\n",
" if None, use the default for the matplotlib function\n",
" add_colorbar : Boolean, optional\n",
" Adds colorbar to axis\n",
" add_labels : Boolean, optional\n",
" Use xarray metadata to label axes\n",
" vmin, vmax : floats, optional\n",
" Values to anchor the colormap, otherwise they are inferred from the\n",
" data and other keyword arguments. When a diverging dataset is inferred,\n",
" setting one of these values will fix the other by symmetry around\n",
" ``center``. Setting both values prevents use of a diverging colormap.\n",
" If discrete levels are provided as an explicit list, both of these\n",
" values are ignored.\n",
" cmap : matplotlib colormap name or object, optional\n",
" The mapping from data values to color space. If not provided, this\n",
" will be either be ``viridis`` (if the function infers a sequential\n",
" dataset) or ``RdBu_r`` (if the function infers a diverging dataset).\n",
" When `Seaborn` is installed, ``cmap`` may also be a `seaborn`\n",
" color palette. If ``cmap`` is seaborn color palette and the plot type\n",
" is not ``contour`` or ``contourf``, ``levels`` must also be specified.\n",
" colors : discrete colors to plot, optional\n",
" A single color or a list of colors. If the plot type is not ``contour``\n",
" or ``contourf``, the ``levels`` argument is required.\n",
" center : float, optional\n",
" The value at which to center the colormap. Passing this value implies\n",
" use of a diverging colormap. Setting it to ``False`` prevents use of a\n",
" diverging colormap.\n",
" robust : bool, optional\n",
" If True and ``vmin`` or ``vmax`` are absent, the colormap range is\n",
" computed with 2nd and 98th percentiles instead of the extreme values.\n",
" extend : {'neither', 'both', 'min', 'max'}, optional\n",
" How to draw arrows extending the colorbar beyond its limits. If not\n",
" provided, extend is inferred from vmin, vmax and the data limits.\n",
" levels : int or list-like object, optional\n",
" Split the colormap (cmap) into discrete color intervals. If an integer\n",
" is provided, \"nice\" levels are chosen based on the data range: this can\n",
" imply that the final number of levels is not exactly the expected one.\n",
" Setting ``vmin`` and/or ``vmax`` with ``levels=N`` is equivalent to\n",
" setting ``levels=np.linspace(vmin, vmax, N)``.\n",
" infer_intervals : bool, optional\n",
" Only applies to pcolormesh. If True, the coordinate intervals are\n",
" passed to pcolormesh. If False, the original coordinates are used\n",
" (this can be useful for certain map projections). The default is to\n",
" always infer intervals, unless the mesh is irregular and plotted on\n",
" a map projection.\n",
" subplot_kws : dict, optional\n",
" Dictionary of keyword arguments for matplotlib subplots. Only applies\n",
" to FacetGrid plotting.\n",
" cbar_ax : matplotlib Axes, optional\n",
" Axes in which to draw the colorbar.\n",
" cbar_kwargs : dict, optional\n",
" Dictionary of keyword arguments to pass to the colorbar.\n",
" **kwargs : optional\n",
" Additional arguments to wrapped matplotlib function\n",
" \n",
" Returns\n",
" -------\n",
" artist :\n",
" The same type of primitive artist that the wrapped matplotlib\n",
" function returns\n",
"\n"
]
}
],
"source": [
"help(dr.plot.imshow)"
]
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