多个热图子图:相同的热棒

时间:2015-11-11 15:25:23

标签: python matplotlib heatmap

以下是我绘制热图的方法:

import matplotlib.pyplt as plt 

ax = plt.gca()
im = ax.imshow(values)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size='5%', pad=0.05)
plt.colorbar(im, cax=cax)

现在我想创建一个2x2子图,有4个不同的热图,并且都具有相同的热棒。我对如何实现这一目标完全不了解,并希望能够朝着正确的方向努力。

1 个答案:

答案 0 :(得分:5)

You can do this using AxesGrid from mpl_toolkits.axes_grid1. See the example here (Specifcally, look at the function demo_grid_with_single_cbar in that example).

I've modified that example slightly, for your case of a 2x2 grid with colorbar on the right.

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid

# Some random data
values1 = np.random.rand(10,10)
values2 = np.random.rand(10,10)
values3 = np.random.rand(10,10)
values4 = np.random.rand(10,10)
vals = [values1,values2,values3,values4]

fig = plt.figure()

grid = AxesGrid(fig, 111,
                nrows_ncols=(2, 2),
                axes_pad=0.05,
                share_all=True,
                label_mode="L",
                cbar_location="right",
                cbar_mode="single",
                )

for val, ax in zip(vals,grid):
    im = ax.imshow(val, vmin=0, vmax=1)

grid.cbar_axes[0].colorbar(im)

for cax in grid.cbar_axes:
    cax.toggle_label(False)

plt.show()

enter image description here