[英]Plot Pandas DataFrame as Bar and Line on the same one chart
我試圖繪制一個圖表,其中第一列和第二列數據作為條形圖,然后是第三列數據的線疊加。
我嘗試了以下代碼,但這會創建 2 個單獨的圖表,但我希望將所有這些都放在一張圖表上。
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')
這是我目前得到的
數據幀繪制方法返回一個matplotlib AxesSubplot
或列表AxesSubplots
。 (例如,請參閱plot或boxplot 的文檔。)
然后,您可以將相同的 Axes 傳遞給下一個繪圖方法(使用ax=ax
)以在相同的軸上繪制:
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()
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