如何旋转seaborn barplot x轴刻度标签

问题描述

我正试图获得一个绘制图，以将其X标签旋转45度，以使其可读(原样，存在重叠).

len(genero) 是 7，len(filmes_por_genero) 是 20

我正在使用MovieLens数据集，并制作了一个图表，计算每个流派中电影的数量.到目前为止，这是我的代码:

导入 seaborn 为 sns导入matplotlib.pyplot作为pltsns.set_style(whitegrid")filmes_por_genero = filmes[generos"].str.get_dummies('|').sum().sort_values(ascending=False)基因 = filmes_com_media.index图表= plt.figure(figsize =(16,8))sns.barplot(x=genero,y = filmes_por_genero.values，调色板=sns.color_palette(BuGn_r", n_colors=len(filmes_por_genero) + 4))chart.set_xticklabels(chart.get_xticklabels()，旋转= 45，水平对齐='右')

这是完整的错误:

get_grouper中的

 /usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py(obj，键，轴，级别，排序，观察到的，变异的，验证的)第623话624)->625如果不是isinstance(gpr，分组)第 626 章627)__init__中的/usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py(自身，索引，石斑鱼，obj，名称，级别，排序，观察到的in_axis)第254话255 self.level = level->256 self.grouper = _convert_grouper(索引，石斑鱼)第257话258 self.index = 索引_convert_grouper(axis，grouper)中的/usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py第653回第654话->655引发ValueError(石斑鱼和轴的长度必须相同")656回石斑鱼657其他:ValueError:石斑鱼和轴的长度必须相同

解决方案

• 数据来自

  情节:

  I'm trying to get a barplot to rotate it's X Labels in 45° to make them readable (as is, there's overlap).

  len(genero) is 7, and len(filmes_por_genero) is 20

  I'm using a MovieLens dataset and making a graph counting the number of movies in each individual genre. Here's my code as of now:

  import seaborn as sns
  import matplotlib.pyplot as plt
  sns.set_style("whitegrid")
  
  filmes_por_genero = filmes["generos"].str.get_dummies('|').sum().sort_values(ascending=False)
  genero = filmes_com_media.index
  
  chart = plt.figure(figsize=(16,8))
  sns.barplot(x=genero,
              y=filmes_por_genero.values,
              palette=sns.color_palette("BuGn_r", n_colors=len(filmes_por_genero) + 4)
              )
  
  chart.set_xticklabels(
      chart.get_xticklabels(),
      rotation=45,
      horizontalalignment='right'
  )
  

  Here's the full error:

  /usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate)
      623                 in_axis=in_axis,
      624             )
  --> 625             if not isinstance(gpr, Grouping)
      626             else gpr
      627         )
  
  /usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py in __init__(self, index, grouper, obj, name, level, sort, observed, in_axis)
      254         self.name = name
      255         self.level = level
  --> 256         self.grouper = _convert_grouper(index, grouper)
      257         self.all_grouper = None
      258         self.index = index
  
  /usr/local/lib/python3.6/dist-packages/pandas/core/groupby/grouper.py in _convert_grouper(axis, grouper)
      653     elif isinstance(grouper, (list, Series, Index, np.ndarray)):
      654         if len(grouper) != len(axis):
  --> 655             raise ValueError("Grouper and axis must be same length")
      656         return grouper
      657     else:
  
  ValueError: Grouper and axis must be same length
  

  解决方案

  • Data from MovieLens 25M Dataset at MovieLens

  import pandas as pd
  import mathplotlib.pyplot as plt
  import seaborn as sns
  sns.set_style("whitegrid")
  
  # data
  df = pd.read_csv('ml-25m/movies.csv')
  
  print(df.head())
  
     movieId                               title                                       genres
  0        1                    Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy
  1        2                      Jumanji (1995)                   Adventure|Children|Fantasy
  2        3             Grumpier Old Men (1995)                               Comedy|Romance
  3        4            Waiting to Exhale (1995)                         Comedy|Drama|Romance
  4        5  Father of the Bride Part II (1995)                                       Comedy
  
  # clean genres
  df['genres'] = df['genres'].str.split('|')
  df = df.explode('genres').reset_index(drop=True)
  
  print(df.head())
  
     movieId             title     genres
  0        1  Toy Story (1995)  Adventure
  1        1  Toy Story (1995)  Animation
  2        1  Toy Story (1995)   Children
  3        1  Toy Story (1995)     Comedy
  4        1  Toy Story (1995)    Fantasy
  
  

  Genres Counts

  gc = df.genres.value_counts().to_frame()
  
  print(genre_count)
  
                      genres
  Drama                25606
  Comedy               16870
  Thriller              8654
  Romance               7719
  Action                7348
  Horror                5989
  Documentary           5605
  Crime                 5319
  (no genres listed)    5062
  Adventure             4145
  Sci-Fi                3595
  Children              2935
  Animation             2929
  Mystery               2925
  Fantasy               2731
  War                   1874
  Western               1399
  Musical               1054
  Film-Noir              353
  IMAX                   195
  

  Plot: sns.barplot

  With ax

  fig, ax = plt.subplots(figsize=(12, 6))
  sns.barplot(x=gc.index, y=gc.genres, palette=sns.color_palette("BuGn_r", n_colors=len(genre_count) + 4), ax=ax)
  ax.set_xticklabels(ax.get_xticklabels(), rotation=45, horizontalalignment='right')
  plt.show()
  

  Without ax

  plt.figure(figsize=(12, 6))
  chart = sns.barplot(x=gc.index, y=gc.genres, palette=sns.color_palette("BuGn_r", n_colors=len(genre_count)))
  chart.set_xticklabels(chart.get_xticklabels(), rotation=45, horizontalalignment='right')
  plt.show()
  

  Plot: sns.countplot

  • Use sns.countplot to skip using .value_counts() if the plot order doesn't matter.
  • To order the countplot, order=df.genres.value_counts().index must be used, so countplot doesn't really save you from needing .value_counts(), if a descending order is desired.

  fig, ax = plt.subplots(figsize=(12, 6))
  sns.countplot(data=df, x='genres', ax=ax)
  ax.set_xticklabels(ax.get_xticklabels(), rotation=45, horizontalalignment='right')
  plt.show()
  

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