Python：摄影和pcoLormesh，做一个循环
我实际上是实习，我想在几个月中绘制地图的海面数据的一定温度（我想要50年，但我稍后会看到），我希望它专注于精确的区域。我已经成功地做到了这一点，除了在每个地图中绘制数据时（每月12张地图）。我每月都有相同的数据，似乎一月的温度在每个地图中。这条线可能是一个问题：
ax.pcolormesh(lon, lat, tos, data=dset, cmap=cmap)
但是我不知道如何修复它。也许我必须在此代码行中进行其他循环，但是有可能吗？感谢您的回答！
代码：
from netCDF4 import Dataset
import matplotlib.pylab as plt
import cartopy.crs as ccrs
import numpy as np
import netCDF4 as nc
month_name=["Jan","Feb","Mar","Apr","May","June","Jul","Aug","Sep","Oct","Nov","Dec"]
data = "/Users/name/Desktop/Internship/tos_1979.nc"
dset = Dataset(data)
fig = plt.figure(figsize=(24,24))
cmap = plt.cm.jet
for imonth in np.arange(1,13):
ax = fig.add_subplot(4,3,imonth, projection=ccrs.PlateCarree())
tos = dset.variables['tos'][0, :, :]
lon = dset.variables['longitude'][:]
lat = dset.variables['latitude'][:]
time = dset.variables['time'][:]
ax.set_extent([-70,20,30,90])
ax.coastlines();
plt.title('Ocean Surface Temperature :'+ month_name[imonth-1],fontsize=12
ax.stock_img()
ax.gridlines()
ax.pcolormesh(lon, lat, tos, data=dset, cmap=cmap)
plt.savefig('fig_tos_1979.png')
plt.show()
只是要知道，我在MacBook上（带Spyder）与Python代码。
另外，我对ScaleBar工具有问题，它已安装在我的Mac上（感谢终端），但是当我导入此工具时，它说：
ImportError: cannot import name 'scale_bar' from 'scalebar' (/Users/name/opt/anaconda3/lib/python3.9/site-packages/scalebar/__init__.py)
谢谢！
I an actually in internship, and I want to plot some temperature of the ocean surface data of a map for each months for on years (I want for 50 years but I will see later) and I want it to be focus on a precise area. I have succeed to do this except that when I plot my data, in each maps (12 maps for each months). I have the same data on every months, it seems that the temperature for January are in each maps. It is probably a problem with this line:
ax.pcolormesh(lon, lat, tos, data=dset, cmap=cmap)
But I don't know how to fix it. Maybe I have to do a other loop inside this code line, but is it possible ? Thanks for your answers !
Code :
from netCDF4 import Dataset
import matplotlib.pylab as plt
import cartopy.crs as ccrs
import numpy as np
import netCDF4 as nc
month_name=["Jan","Feb","Mar","Apr","May","June","Jul","Aug","Sep","Oct","Nov","Dec"]
data = "/Users/name/Desktop/Internship/tos_1979.nc"
dset = Dataset(data)
fig = plt.figure(figsize=(24,24))
cmap = plt.cm.jet
for imonth in np.arange(1,13):
ax = fig.add_subplot(4,3,imonth, projection=ccrs.PlateCarree())
tos = dset.variables['tos'][0, :, :]
lon = dset.variables['longitude'][:]
lat = dset.variables['latitude'][:]
time = dset.variables['time'][:]
ax.set_extent([-70,20,30,90])
ax.coastlines();
plt.title('Ocean Surface Temperature :'+ month_name[imonth-1],fontsize=12
ax.stock_img()
ax.gridlines()
ax.pcolormesh(lon, lat, tos, data=dset, cmap=cmap)
plt.savefig('fig_tos_1979.png')
plt.show()
Just to know, I code with Python, on a MacBook (with Spyder).
Also I have problem with the scalebar tool, it's install on my Mac (thanks to the terminal) but when I import this tools it's says :
ImportError: cannot import name 'scale_bar' from 'scalebar' (/Users/name/opt/anaconda3/lib/python3.9/site-packages/scalebar/__init__.py)
Thanks !
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评论（1）
这可能是因为您已经用
0对数据的索引进行了硬编码。所以也许改变了：
tos = dset.Variobles ['tos'] [0，：，：]to：
tos = dset.Variobles ['tos'] [imonth-1，：，：]，但我猜是因为我不知道您的数据的布局。
您也可以尝试使用Xarray加载数据，然后利用像这样的图的一些便利功能。请参阅：
https：////docs.xarray.dev/en.dev/en/stable/用户指示/绘图.html＃faceTing
仍然在后台使用matplotlib+Cartopy，但在开始时可能会提供更轻松的界面。
（我根本不熟悉比例尺模块...）
It's probably because you have hard coded the indexing of the data with
0.So perhaps change this:
tos = dset.variables['tos'][0, :, :]To:
tos = dset.variables['tos'][imonth-1, :, :]But I'm guessing since I don't know the layout of your data.
You could also try loading the data with Xarray, and then leverage some of the convenience functions for plots like this. See:
https://docs.xarray.dev/en/stable/user-guide/plotting.html#faceting
That still uses Matplotlib+Cartopy in the background, but might provide an easier interface when you're getting started.
(I'm not familiar with the scalebar module at all...)