matplotlib 在Python中使用制图自定义多个子图

xbp102n0 于 2023-08-06 发布在 Python

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我尝试使用cartopy自定义较长垂直尺寸的子图，但仍然无法弄清楚如何增加每个图的高度（垂直高度）。

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import xarray as xr
import numpy as np
import matplotlib.ticker as mticker
# Load available datasets
ds=xr.tutorial.load_dataset("air_temperature")
# Get 6 maps (images)
air=[ds.air.isel(time=i) for i in range(7)]
# Specify crs
proj = ccrs.PlateCarree() #ccrs.Orthographic()
# Set size and number of plots
fig,axes = plt.subplots(ncols=3,nrows=2,figsize=(20,7),
                      subplot_kw={'projection': proj},gridspec_kw = {'wspace':0.2, 'hspace':0.007})

# Zip maps and axes and index
mzip=zip(air,[y for x in axes for y in x])
# Loop over the maps and axes
for img, ax in mzip:
        # Add countries
    ax.add_feature(cfeature.BORDERS, facecolor="green")
    # plot maps/images
    temp=img.plot.contourf(ax=ax,transform=proj,cmap="magma",vmax=300,vmin=220, add_colorbar=False)
    # Create gridlines
    gl = ax.gridlines(crs=proj, linewidth=1, color='black', alpha=0.2, linestyle="--")
    # Manipulate gridlines number and spaces
    gl.ylocator = mticker.FixedLocator(np.arange(-90,90,20))
    gl.xlocator = mticker.FixedLocator(np.arange(-180, 180, 25)) 
    gl.xlabels_top = False
    gl.xlabels_bottom = True
    gl.ylabels_left = True
    gl.ylabels_right = False

plt.show()

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的数据

matplotlib

来源：https://stackoverflow.com/questions/72278346/customize-multiple-subplots-with-cartopy-in-python

1条答案

按热度按时间

50pmv0ei1#

您可以在创建子图时添加aspect关键字。但正如乔迪·克利马克（Jody Klymak）已经暗示的那样，也许选择不同的投影会更好？
但添加例如：subplot_kw={'projection': proj, "aspect": 2}个
我稍微改变了你的例子：

ds = xr.tutorial.load_dataset("air_temperature")
air = [ds.air.isel(time=i) for i in range(7)]

proj = ccrs.PlateCarree()
fig,axes = plt.subplots(
    2, 3, figsize=(9, 6), sharex=True, sharey=True,
    subplot_kw={'projection': proj, "aspect": 2},
    gridspec_kw = {'wspace':0.2, 'hspace':0.007},
)

for i, (img, ax) in enumerate(zip(air,[y for x in axes for y in x])):

    temp = img.plot.contourf(
        ax=ax, transform=proj, cmap="magma",
        vmax=300,vmin=220, add_colorbar=False,
    )
    ax.set_title(img.time.to_dict()["data"])
    ax.add_feature(cfeature.BORDERS, facecolor="green")
    
    gl = ax.gridlines(crs=proj, linewidth=1, color='black', alpha=0.2, linestyle="--")

    gl.ylocator = mticker.FixedLocator(np.arange(-90,90,20))
    gl.xlocator = mticker.FixedLocator(np.arange(-180, 180, 25))
    
    if i>2:
        gl.bottom_labels = True
    if i == 0 or i == 3:
        gl.left_labels = True

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的数据

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matplotlib 在Python中使用制图自定义多个子图

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