問題描述

我像這樣在seaborn中繪制了一個catplot

將 seaborn 導入為 sns將熊貓導入為 pd數據= {'年':[2016、2013、2014、2015、2016、2013、2014、2015、2016、2013、2014、2015、2016、2013、2014、2015、2016、2013、2014、2015]geo_name': ['Michigan', 'Michigan', 'Michigan', 'Michigan', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Ann密歇根州阿伯市"、密歇根州安娜堡"、密歇根州安娜堡"、密歇根州安娜堡"、賓夕法尼亞州費城"、賓夕法尼亞州費城"、賓夕法尼亞州費城"、賓夕法尼亞州費城"、'密歇根州安娜堡市都會區', '密歇根州安娜堡市都會區', '密歇根州安娜堡市都會區', '密歇根州安娜堡市都會區'], 'geo': ['04000US26', '04000US26','04000us26'，'04000us26'，'05000us26161'，'05000us26161'，'05000us26161'，'16000us2603000'，'16000us2603000'，'16000us2603000'，'16000us4260000'，'16000us4260000'，'16000US4260000'，'16000US4260000'，'16000US42600'，'16000US42600'，'16000US42600'，'16000US42600'，'16000US42600'，'16000US42600'，'16000US4260000''16000US4260000''，'16000US4260000'，'31000US11460'，'31000US11460'，'31000US11460'，'31000us11460'，'收入':[50803.0,48411.0,49087.0,49576.0,62484.0,59055.0,60805.0,61003.0,57697.0,59003.0,56835.0，55990.0,39770.0,37192.0,37460.0,38253.0,62484.0,59055.0,60805.0,61003.0]，收入_MOE":[162.0,163.0,192.0,186.0,984.0,985.0,958.0,901.0,2046.0,1688.0,1320.0,1259.0,567.0，424.0、430.0、511.0、984.0、985.0、958.0、901.0]}df = pd.DataFrame(數據)g = sns.catplot(x='year', y='income', data=df, kind='bar', hue='geo_name', legend=True)g.fig.set_size_inches(15,8)g.fig.subplots_adjust(top=0.81,right=0.86)

我得到如下所示的輸出

我想在 K 表示的頂部添加每個條的值.例如在 2013 中，Michigan 的欄位于 48411 所以我想在上面添加值 48.4K酒吧.對于所有的酒吧也是如此.

更新至matplotlib v3.4.2

• 使用

  對于單個或多個地塊

  g = sns.catplot(x='year', y='income', data=df, kind='bar', col='geo_name',col_wrap=3，圖例=真)g.fig.set_size_inches(15, 8)g.fig.subplots_adjust(top=0.9)g.fig.suptitle('帶注釋的條形計數')# 遍歷軸對于 g.axes.ravel() 中的 ax:# 添加注釋對于 ax.containers 中的 c:標簽 = [f'{(v.get_height()/1000):.1f}K' for v in c]ax.bar_label(c, 標簽=標簽, label_type='edge')ax.margins(y=0.2)plt.show()

  I plotted a catplot in seaborn like this

  import seaborn as sns
  import pandas as pd
  
  data  = {'year': [2016, 2013, 2014, 2015, 2016, 2013, 2014, 2015, 2016, 2013, 2014, 2015, 2016, 2013, 2014, 2015, 2016, 2013, 2014, 2015], 'geo_name': ['Michigan', 'Michigan', 'Michigan', 'Michigan', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Washtenaw County, MI', 'Ann Arbor, MI', 'Ann Arbor, MI', 'Ann Arbor, MI', 'Ann Arbor, MI', 'Philadelphia, PA', 'Philadelphia, PA', 'Philadelphia, PA', 'Philadelphia, PA', 'Ann Arbor, MI Metro Area', 'Ann Arbor, MI Metro Area', 'Ann Arbor, MI Metro Area', 'Ann Arbor, MI Metro Area'], 'geo': ['04000US26', '04000US26', '04000US26', '04000US26', '05000US26161', '05000US26161', '05000US26161', '05000US26161', '16000US2603000', '16000US2603000', '16000US2603000', '16000US2603000', '16000US4260000', '16000US4260000', '16000US4260000', '16000US4260000', '31000US11460', '31000US11460', '31000US11460', '31000US11460'], 'income': [50803.0, 48411.0, 49087.0, 49576.0, 62484.0, 59055.0, 60805.0, 61003.0, 57697.0, 55003.0, 56835.0, 55990.0, 39770.0, 37192.0, 37460.0, 38253.0, 62484.0, 59055.0, 60805.0, 61003.0], 'income_moe': [162.0, 163.0, 192.0, 186.0, 984.0, 985.0, 958.0, 901.0, 2046.0, 1688.0, 1320.0, 1259.0, 567.0, 424.0, 430.0, 511.0, 984.0, 985.0, 958.0, 901.0]}
  df = pd.DataFrame(data)
  
  g = sns.catplot(x='year', y='income', data=df, kind='bar', hue='geo_name', legend=True)
  g.fig.set_size_inches(15,8)
  g.fig.subplots_adjust(top=0.81,right=0.86)  
  

  I am getting an output like shown below

  I want to add the values of each bar on its top in K representation. For example in 2013 the bar for Michigan is at 48411 so I want to add the value 48.4K on top of that bar. Likewise for all the bars.

  解決方案

  Updated as of matplotlib v3.4.2

  • Use matplotlib.pyplot.bar_label
  • See the matplotlib: Bar Label Demo page for additional formatting options.
  • Tested with pandas v1.2.4, which is using matplotlib as the plot engine.
  • Use the fmt parameter for simple formats, and labels parameter for customized string formatting.
  • See Adding value labels on a matplotlib bar chart for other plotting options related to the new method.

  For single plot only

  g = sns.catplot(x='year', y='income', data=df, kind='bar', hue='geo_name', legend=True)
  g.fig.set_size_inches(15, 8)
  g.fig.subplots_adjust(top=0.81, right=0.86)
  
  # extract the matplotlib axes_subplot objects from the FacetGrid
  ax = g.facet_axis(0, 0)
  
  # iterate through the axes containers
  for c in ax.containers:
      labels = [f'{(v.get_height() / 1000):.1f}K' for v in c]
      ax.bar_label(c, labels=labels, label_type='edge')
  

  For single or multiple plots

  g = sns.catplot(x='year', y='income', data=df, kind='bar', col='geo_name', col_wrap=3, legend=True)
  g.fig.set_size_inches(15, 8)
  g.fig.subplots_adjust(top=0.9)
  
  g.fig.suptitle('Bar Count with Annotations')
  
  # iterate through axes
  for ax in g.axes.ravel():
      
      # add annotations
      for c in ax.containers:
          labels = [f'{(v.get_height() / 1000):.1f}K' for v in c]
          ax.bar_label(c, labels=labels, label_type='edge')
      ax.margins(y=0.2)
  
  plt.show()
  

  這篇關于Seaborn Catplot 在條形圖上設置值的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！

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