我试图在分析后将NetCDF文件中的2个图形绘制成子图,我可以单独绘制,但不能作为子图绘制。没有显示错误,但图形显示不正确
import xarray as xr
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import numpy as np
import cartopy.mpl.ticker as cticker
#%% OLR Import
fname ='/home/SIMS/P1/*.nc'
ds = xr.open_mfdataset(fname)
olr = ds.olr
mea = ds.mean('time')
# OLR daily data import
cname ='/home/SIMS/olrr/OLR.nc'
dc = xr.open_dataset(cname)
colr = dc.olr
# calculating JJAS climatology
def is_jjas(month):
return (month >= 6) & (month <= 9)
seasonal_data_olr = colr.sel(time=is_jjas(colr['time.month']))
climatology = seasonal_data_olr.mean('time')
# Anomaly
anomaly_olr=mea-climatology
fig = plt.figure()
ax = plt.axes(projection=ccrs.Mercator(central_longitude=80.0, min_latitude=-10.0, max_latitude=20.0, globe=None, latitude_true_scale=0.0))
plt.subplot(2,1,1)
climatology.plot.contourf(ax=ax,transform=ccrs.PlateCarree(),vmin=0, vmax=245)
plt.subplot(2,1,2)
anomaly_olr.olr.plot.contourf(ax=ax, transform=ccrs.PlateCarree(),cmap="jet", vmin=-30, vmax=30)
plt.show()
我的变量
气候学
xarray.DataArray 'olr' (lat: 15, lon: 73)
异常
xarray.DataArray 'olr' (lat: 15, lon: 73)
它给出了这个没有轮廓的数字
在做了一些修改后,我可以很好地绘制它。我改了几行如下:
无论如何谢谢你
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