当使用imshow绘制数据(来自netcdf)时,有没有办法增加对比度?在ArcMap中,这可以使用'stretch' function来完成,但我想要使用matplotlib的解决方案。
from netCDF4 import Dataset
import matplotlib.pylab as plt
fnc = Dataset(ncfile, 'r')
lat = fnc.variables['latitude'][:]
lon = fnc.variables['longitude'][:]
level = fnc.variables['level'][:]
mydata = fnc.variables['Data'][0, 0, :, :]
plt.figure(figsize = (8, 4))
imgplot = plt.imshow(mydata, cmap = 'YlGn')
plt.colorbar()
plt.show
当前输出:
我想要的( '2.5标准差拉伸‘):
发布于 2018-08-01 08:15:16
尝试imshow
函数的两个参数:
plt.imshow(mydata, cmap = 'YlGn, interpolation = 'sinc', vmin = 0, vmax = 0.1)
文档:
https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods.html https://matplotlib.org/api/_as_gen/matplotlib.pyplot.imshow.html
https://stackoverflow.com/questions/38340731
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