xrayとcartopyでヒートマップ的なプロットを書いてみた
xrayとcartopyでヒートマップ的なプロットをしてみた。雨量などの格子データのプロットに使いたい。
import cartopy.crs as ccrs import matplotlib.pyplot as plt import xray import numpy as np import numpy.random as random from datetime import datetime # toy weather data lon = 136.5 + np.arange(20)*0.25 lat = 38. - np.arange(20)*0.25 time = datetime(2016,1,1,0) data = random.rand(len(lat), len(lon))*100 rain = xray.DataArray(data, coords={'time': time, 'lat': lat, 'lon': lon}, dims=['lat', 'lon']) # prepare data for annotation darray = rain ylab, xlab = rain.dims xval = darray[xlab].values yval = darray[ylab].values zval = darray.to_masked_array(copy=False) xval, yval = np.meshgrid(xval, yval) # for colormap colorlist = ['#FFFFFF', '#00FFFF', '#00B0FF', '#0070FF', '#228B22', '#00FF00', '#FFFF00', '#FF8000', '#FF0000', '#FF00FF'] levels = [1,3,5,10,20,30,40,50,80] # plot plt.figure(figsize=(8,6)) ax = plt.axes(projection=ccrs.PlateCarree()) rain.plot(ax=ax, levels=levels, colors=colorlist, extend='both') for x, y, val in zip(xval.flat, yval.flat, zval.flat): val = '{}'.format(int(val)) ax.text(x, y, val, ha='center', va='center') ax.coastlines(resolution='10m') plt.show()
