用两个不同的列绘制直方图 [英] Plotting histogram with two different columns

问题描述

我的数据集是这样的

 访问天数星期二 23星期一 30星期日 120星期五 2星期五 30星期二 13星期一 20星期六 100

如何为该数据集绘制直方图，但将其假设为一个大型数据集(560030 行)，而不仅仅是这些值.

实际上我想在 x 轴上有天数，在 Y 轴上有访客.

解决方案

• 使用 seaborn，这是 matplotlib 的 API.

  • • 绘制直方图后，如果需要移动图例，请使用

      条形图

      • My dataset is like this

         Days     Visitors
        
        Tuesday    23
        Monday     30
        Sunday    120
        Friday     2
        Friday    30
        Tuesday   13
        Monday    20
        Saturday  100
        

        How can I plot a histogram for this dataset, but assume it as a large dataset(560030 rows), not just only these values.

        Actually I want to have days on x-axis and Visitors on Y-axis.

        解决方案

        • Use seaborn, which is an API for matplotlib.
          • seaborn.histplot
          • seaborn.displot
        • This will show the distribution of the number of visitors for each day of the week.

        sns.histplot

        import seaborn as sns
        import pandas as pd
        import numpy as np  # for test data
        import random  # for test data
        import calendar  # for test data
        
        # test dataframe
        np.random.seed(365)
        random.seed(365)
        df = pd.DataFrame({'Days': random.choices(calendar.day_name, k=1000), 'Visitors': np.random.randint(1, 121, size=(1000))})
        
        # display(df.head(6))
                Days  Visitors
        0     Friday        83
        1     Sunday        53
        2   Saturday        34
        3  Wednesday        92
        4    Tuesday        45
        5  Wednesday         6
        
        # plot the histogram
        sns.histplot(data=df, x='Visitors', hue='Days', multiple="stack")
        

        • Once the histogram is plotted, if the legend needs to be moved, use of the workaround found in seaborn issue: Not clear how to reposition seaborn.histplot legend #2280, may be necessary.

        sns.distplot

        • This option most clearly conveys the daily distribution of visitor counts

        sns.displot(data=df, col='Days', col_wrap=4, x='Visitors')
        

        Barplot

        • seaborn.barplot
        • This will show the sum of all visits for a given day

        sns.barplot(data=df, x='Days', y='Visitors', estimator=sum, ci=None)
        plt.xticks(rotation=90)
        

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