pandas 如何从python中的数据帧绘制x轴和y轴的直方图
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How to plot histogram with x and y axis from dataframe in python
提问by ejshin1
I would like to plot histogram with pandas dataframe. I have four columns in my dataframe, but I would like to pick two of them and plot it. I plug in xaxis and yaxis values and draw three sub historgrams.
我想用Pandas数据框绘制直方图。我的数据框中有四列，但我想选择其中的两列并绘制它。我插入 xaxis 和 yaxis 值并绘制三个子直方图。
Here's how my code looks like:
我的代码如下所示：
fig = plt.figure(figsize=(9,7), dpi=100)
h = plt.hist(x=df_mean_h ['id'], y=df_mean_h ['mean'],
color='red', label='h')
c = plt.hist(x=df_mean_c ['id'], y=df_mean_c ['mean'],
color='blue', label='c')
o = plt.hist( x=df_mean_o['id'], y=df_mean_o ['mean'],
color='green', label='o')
plt.show()
When I try to see the histogram, it displays nothing on the screen. How should I fix my code?
当我尝试查看直方图时，它在屏幕上不显示任何内容。我应该如何修复我的代码？
回答by name goes here
You need to show the plot with plt.show()
plt.hist() works differently than scatter or a series. You can't send x= and y=
您需要使用 plt.show() 显示绘图
plt.hist() 的工作方式与分散或系列不同。你不能发送 x= 和 y=
https://matplotlib.org/1.2.1/examples/pylab_examples/histogram_demo.html
https://matplotlib.org/1.2.1/examples/pylab_examples/histogram_demo.html
To make your example work, just send plt.hist a single column to create the chart:
为了使您的示例工作，只需向 plt.hist 发送一列即可创建图表：
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
d = {'one' : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
'two' : pd.Series([1., 2., 3.], index=['a', 'b', 'c'])}
DF = pd.DataFrame(d)
fig = plt.figure(figsize=(9,7), dpi=100)
plt.hist(DF['two'])
plt.show()
