Python 在同一张图表上将 Pandas DataFrame 绘制为条形图和线条图
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Plot Pandas DataFrame as Bar and Line on the same one chart
提问by tfayyaz
I am trying to plot a chart with the 1st and 2nd columns of data as bars and then a line overlay for the 3rd column of data.
我试图绘制一个图表，其中第一列和第二列数据作为条形图，然后是第三列数据的线叠加。
I have tried the following code but this creates 2 separate charts but I would like this all on one chart.
我尝试了以下代码，但这会创建 2 个单独的图表，但我希望将所有这些都放在一张图表上。
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')
df_13_14_target[['month','2013_val','2014_val']].plot(x='month', kind='bar')
This is what I currently get
这是我目前得到的
采纳答案by unutbu
The DataFrame plotting methods return a matplotlib AxesSubplotor list of AxesSubplots. (See the docs for plot, or boxplot, for instance.)
DataFrame 绘图方法返回一个 matplotlibAxesSubplot或AxesSubplots. （例如，请参阅plot或boxplot的文档。）
You can then pass that same Axes to the next plotting method (using ax=ax) to draw on the same axes:
然后，您可以将相同的 Axes 传递给下一个绘图方法（使用ax=ax）以在相同的轴上绘制：
ax = df_13_14_target[['month','2014_target_val']].plot(x='month',linestyle='-', marker='o')
df_13_14_target[['month','2013_val','2014_val']].plot(x='month', kind='bar',
ax=ax)
import pandas as pd
import matplotlib.pyplot as plt
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')
ax = df_13_14_target[['month', '2014_target_val']].plot(
x='month', linestyle='-', marker='o')
df_13_14_target[['month', '2013_val', '2014_val']].plot(x='month', kind='bar',
ax=ax)
plt.show()
