使用 Matplotlib 在两个 y 轴上绘制多条线 [英] Plotting mulitple lines on two y axis using Matplotlib

问题描述

我正在尝试绘制在两个 y 轴上具有不同范围的多个特征.每个轴可能包含多个特征.下面的代码片段包括对象Prin Balances"，它是一个 df，其中包含按日期索引的数据类型浮点数.欠款状态"是一个列表，其中包含Prin天平的列标题的子集.

I am trying to plot multiple features which have different ranges on two y axis. Each axis might contain more than one feature. Code snippet below includes object "Prin Balances" which is a df which contains datatypes float indexed by dates. "Delinquent States" is a list containing a subset of the column headers of Prin Balances.

Delinquent_States = ['1 Mos','2 Mos','3 Mos','> 3 Mos']
fig, ax = plt.subplots()
plt.plot(Prin_Balances['UPB'], '--r', label='UPB')
plt.legend()
ax.tick_params('Bal', colors='r')

# Get second axis
ax2 = ax.twinx()
plt.plot(Prin_Balances[Delinquent_States],  label=Delinquent_States)
plt.legend()
ax.tick_params('vals', colors='b')

我的输出需要清理，尤其是图例.

My output needs to be cleaned up, esp the legends.

欢迎提出任何建议.

推荐答案

就这么简单:

import pandas
import matplotlib.pyplot as plt
import random

# Generate some random data
df = pandas.DataFrame({'a': [random.uniform(0,0.05) for i in range(15)], 
                       'b': [random.uniform(0,0.05) for i in range(15)], 
                       'c': [random.uniform(0.8,1) for i in range(15)],
                       'd': [random.uniform(0.8, 1) for i in range(15)],
                       'e': [random.uniform(0.8, 1) for i in range(15)]})
plt.plot(df)

返回:

我建议将它们分开绘制:

I would suggest however plotting them separately:

fig, ax = plt.subplots(nrows=2,ncols=1)
plt.subplot(2,1,1)
plt.plot(df['a'], 'r', label='Line a')
plt.legend()

plt.subplot(2,1,2)
plt.plot(df['b'], 'b', label='Line b')
plt.legend()

哪个产量:

已添加:

您可以为绘图的每一侧设置不同的比例:

You can set different scales for each side of the plot:

fig, ax = plt.subplots()
plt.plot(df['a'], '--r', label='Line a')
plt.plot(df['b'], '--k', label='Line b')
plt.legend()
ax.tick_params('vals', colors='r')

# Get second axis
ax2 = ax.twinx()
plt.plot(df['c'], '--b', label='Line c')
plt.plot(df['d'], '--g', label='Line d')
plt.plot(df['e'], '--c', label='Line e')
plt.legend()
ax.tick_params('vals', colors='b')

不是最漂亮的，但是您明白了.

Not the prettiest, but you get the point.

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