創建多個直方圖，按用戶從 Python 中的大型單個數據集分組

Question

我有一個大數據集 df：

  User              duration

  amy                582         
  amy                27
  amy                592
  amy                16
  amy                250
  tom                33
  tom                10
  tom                40
  tom                100

我想按用戶分組，然后為每個用戶創建一個直方圖：

 amy (histogram image)


 tom (histogram image)

這是dput：

structure(list(User = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 2L), .Label = c("amy", "tom"), class = "factor"), duration = c(582L, 
27L, 592L, 16L, 250L, 33L, 10L, 40L, 100L)), class = "data.frame", row.names = c(NA, 
-9L))

我知道如何使用以下代碼在 Python 中創建直方圖：，但是如何在 Python 中創建多個直方圖，按用戶分組。 我應該創建字典嗎？

 import numpy as np
 import matplotlib.mlab as mlab
 import matplotlib.pyplot as plt

 df = (amy[582,27, 592, 16, 250], tom[33,10,40,100])
 num_bins = 20
 n, bins, patches = plt.hist(x, num_bins, facecolor='blue', alpha=0.5)
 plt.show()

任何建議表示贊賞。

Answer 1

df = pd.DataFrame({'user':['amy', 'amy','amy','amy','amy', 'tom', 'tom', 'tom','tom',],
              'duration': [582, 27, 592, 16, 250, 33, 10, 40, 100]})

ax = df['duration'].hist(by=df['user'])

for a in ax.flatten():
    a.set_xlabel("duration")
    a.set_ylabel("frequency")