如何使用Python修改matplotlib.pyplot.colorbar的位置以对齐主图

目录

• 问题描述
• 方法
• 0. plt.colorbar参数介绍
• 1. plt.colorbar(im, fraction=0.046, pad=0.04, shrink=1.0)
• 2. make_axes_locatable
• 3. make_axes_locatables 升级版
• 4. 手动给colorbar添加一个axe
• 总结 

问题描述

像这样的图，我想把右边的colorbar设置成和主图一样高度

方法

0. plt.colorbar参数介绍

https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html?highlight=colorbar#matplotlib.pyplot.colorbar

1. plt.colorbar(im, fraction=0.046, pad=0.04, shrink=1.0)

fraction可以从0.035-0.046调节以找到合适大小

但当图像的长、高对比过大时，可能不起作用

2. make_axes_locatable

这是matplotlib包里的一个函数

from mpl_toolkits.axes_grid1 import make_axes_locatable

im = plt.imshow(data)
divider = make_axes_locatable(plt.gca())
cax = divider.append_axes("right", size="5%", pad="3%")
plt.colorbar(im, cax=cax)

不适用于有投影参数的axe（会报错），如cartopy的GeoAxes

3. make_axes_locatables 升级版

https://stackoverflow.com/questions/18195758/set-matplotlib-colorbar-size-to-match-graph @Matthias

import matplotlib.pyplot as plt
from mpl_toolkits import axes_grid1

def add_colorbar(im, aspect=20, pad_fraction=0.5, **kwargs):
    """Add a vertical color bar to an image plot."""
    divider = axes_grid1.make_axes_locatable(im.axes)
    width = axes_grid1.axes_size.AxesY(im.axes, aspect=1./aspect)
    pad = axes_grid1.axes_size.Fraction(pad_fraction, width)
    current_ax = plt.gca()
    cax = divider.append_axes("right", size=width, pad=pad)
    plt.sca(current_ax)
    return im.axes.figure.colorbar(im, cax=cax, **kwargs)

用法示例

im = plt.imshow(np.arange(200).reshape((20, 10)))
add_colorbar(im)

4. 手动给colorbar添加一个axe

https://stackoverflow.com/questions/18195758/set-matplotlib-colorbar-size-to-match-graph @Fei Yao

import matplotlib.pyplot as plt
import numpy as np

fig=plt.figure()
ax = plt.axes()
im = ax.imshow(np.arange(100).reshape((10,10)))

# Create an axes for colorbar. The position of the axes is calculated based on the position of ax.
# You can change 0.01 to adjust the distance between the main image and the colorbar.
# You can change 0.02 to adjust the width of the colorbar.
# This practice is universal for both subplots and GeoAxes.

cax = fig.add_axes([ax.get_position().x1+0.01,ax.get_position().y0,0.02,ax.get_position().height])
plt.colorbar(im, cax=cax) # Similar to fig.colorbar(im, cax = cax)

效果展示

总结