matplotlib:在散点图上方绘制直方图 [英] matplotlib: plotting histogram plot just above scatter plot

问题描述

我想用散点图的上方和右侧的直方图制作漂亮的散点图，因为这在带有联合图的 seaborn 中是可能的:

I would like to make beautiful scatter plots with histograms above and right of the scatter plot, as it is possible in seaborn with jointplot:

我正在寻找有关如何实现这一目标的建议.实际上，我在安装熊猫时遇到了一些麻烦，而且我不需要整个seaborn模块

I am looking for suggestions on how to achieve this. In fact I am having some troubles in installing pandas, and also I do not need the entire seaborn module

推荐答案

以下是使用 gridspec.GridSpec 的方法的示例:

Here's an example of how to do it, using gridspec.GridSpec:

import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np

x = np.random.rand(50)
y = np.random.rand(50)

fig = plt.figure()

gs = GridSpec(4,4)

ax_joint = fig.add_subplot(gs[1:4,0:3])
ax_marg_x = fig.add_subplot(gs[0,0:3])
ax_marg_y = fig.add_subplot(gs[1:4,3])

ax_joint.scatter(x,y)
ax_marg_x.hist(x)
ax_marg_y.hist(y,orientation="horizontal")

# Turn off tick labels on marginals
plt.setp(ax_marg_x.get_xticklabels(), visible=False)
plt.setp(ax_marg_y.get_yticklabels(), visible=False)

# Set labels on joint
ax_joint.set_xlabel('Joint x label')
ax_joint.set_ylabel('Joint y label')

# Set labels on marginals
ax_marg_y.set_xlabel('Marginal x label')
ax_marg_x.set_ylabel('Marginal y label')
plt.show()

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