Source code for pygeogrids.plotting

# Copyright (c) 2018, TU Wien, Department of Geodesy and Geoinformation
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import warnings

try:
    import matplotlib.pyplot as plt
    import matplotlib as mp
except ImportError:
    warnings.warn("Matplotlib is necessary for plotting grids.")
try:
    from mpl_toolkits.basemap import Basemap
except ImportError:
    warnings.warn("Basemap is necessary for plotting grids.")
import numpy as np
import pygeogrids.grids as grids


[docs]def plot_cell_grid_partitioning( output, cellsize_lon=5.0, cellsize_lat=5.0, figsize=(12, 6) ): """ Plot an overview of a global cell partitioning. Parameters ---------- output: string output file name """ mp.rcParams["font.size"] = 10 mp.rcParams["text.usetex"] = True plt.figure(figsize=figsize, dpi=300) ax = plt.axes([0, 0, 1, 1]) map = Basemap( projection="cyl", llcrnrlat=-90, urcrnrlat=90, llcrnrlon=-180, urcrnrlon=180, ax=ax, ) map.drawparallels( np.arange(-90, 90, cellsize_lat), labels=[1, 0, 0, 0], linewidth=0.5 ) map.drawmeridians( np.arange(-180, 180, cellsize_lon), labels=[0, 0, 0, 1], rotation="vertical", linewidth=0.5, ) # fill continents 'coral' (with zorder=0), color wet areas 'aqua' map.drawmapboundary(fill_color="aqua") map.fillcontinents(color="0.6", lake_color="aqua") label_lats = np.arange(-90 + cellsize_lat / 2.0, 90, cellsize_lat) label_lons = np.arange(-180 + cellsize_lon / 2.0, 180, cellsize_lon) lons, lats = np.meshgrid(label_lons, label_lats) x, y = map(lons.flatten(), lats.flatten()) cells = grids.lonlat2cell( lons.flatten(), lats.flatten(), cellsize_lon=cellsize_lon, cellsize_lat=cellsize_lat, ) for xt, yt, cell in zip(x, y, cells): plt.text( xt, yt, "{:}".format(cell), fontsize=4, va="center", ha="center", weight="bold", ) plt.savefig(output, format="png", dpi=300) plt.close()