相关疑难解决方法(0)

我试图绘制一个图表,其中第一列和第二列数据为条形,然后是第三列数据的行覆盖.

我尝试了以下代码,但这创建了2个单独的图表,但我希望这一切都在一个图表上.

left_2013 = pd.DataFrame({'month': ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'],
                     '2013_val': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 6]})

right_2014 = pd.DataFrame({'month': ['jan', 'feb'], '2014_val': [4, 5]})

right_2014_target = pd.DataFrame({'month': ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'],
                                   '2014_target_val': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]})


df_13_14 = pd.merge(left_2013, right_2014, how='outer')
df_13_14_target = pd.merge(df_13_14, right_2014_target, how='outer')
df_13_14_target[['month','2013_val','2014_val','2014_target_val']].head(12)

plt.figure()
df_13_14_target[['month','2014_target_val']].plot(x='month',linestyle='-', marker='o') …

我无法在同一个图上显示条形图和折线图.示例代码:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

Df = pd.DataFrame(data=np.random.randn(10,4), index=pd.DatetimeIndex(start='2005', freq='M', periods=10), columns=['A','B','C','D'])

fig = plt.figure()
ax = fig.add_subplot(111)

Df[['A','B']].plot(kind='bar', ax=ax)
Df[['C','D']].plot(ax=ax, color=['r', 'c'])

我试图用下面的示例中的折线图覆盖堆积条形图，但只显示了第二个图，无法理解为什么。

import pandas as pd
from matplotlib import pyplot as plt
df=pd.DataFrame({'yarding, mobile cable yarder on trailer': {1928: 1.4027824821879459e-20, 1924: 3.4365045943961052e-37, 1925: 6.9939032596152882e-30, 1926: 1.0712940173393567e-25, 1927: 8.6539917152671678e-23},
                 'yarding and processing, mobile cable yarder on truck': {1928: 1.1679873528237404e-20, 1924: 2.8613089094435456e-37, 1925: 5.8232768671842113e-30, 1926: 8.9198283644271726e-26, 1927: 7.2055027953028907e-23},
                 'delimbing, with excavator-based processor': {1928: 1.6998969986716558e-20, 1924: 4.1643685881703105e-37, 1925: 8.4752370448040848e-30, 1926: 1.2981979323251926e-25, 1927: 1.0486938381883222e-22}})
df2=pd.Series({1928: 3.0638184091973243e-19, 1924: 7.5056562764093482e-36, 1925: 1.5275356821475311e-28, 1926: 2.3398091372066067e-24, 1927: 1.8901157781841223e-21})

ax=df.plot(kind='bar',stacked=True,legend=False)
df2.plot(kind='line',ax=ax)
plt.show()

我正在尝试在同一个图表上绘制一个条形和一条线.这是有效的,有效的是什么.请问有谁解释原因？

什么不起作用:

df = pd.DataFrame({'year':[2001,2002,2003,2004,2005], 'value':[100,200,300,400,500]})
df['value1']= df['value']*0.4
df['value2'] = df['value']*0.6
fig, ax = plt.subplots(figsize = (15,8))
df.plot(x = ['year'], y = ['value'], kind = 'line', ax = ax)
df.plot(x = ['year'], y= ['value1','value2'], kind = 'bar', ax = ax)

但不知何故,当我x=['year']在第一个图中删除它时它会起作用:

fig, ax = plt.subplots(figsize = (15,8))
df.plot(y = ['value'], kind = 'line', ax = ax)
df.plot(x = ['year'], y= ['value1','value2'], kind = 'bar', ax = ax)