在条形图上设置值

在条形图上设置值

本文介绍了Seaborn Catplot 在条形图上设置值的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我像这样在seaborn中绘制了一个catplot

将 seaborn 导入为 sns将熊猫导入为 pd数据= {'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"、宾夕法尼亚州费城"、宾夕法尼亚州费城"、宾夕法尼亚州费城"、宾夕法尼亚州费城"、'密歇根州安娜堡市都会区', '密歇根州安娜堡市都会区', '密歇根州安娜堡市都会区', '密歇根州安娜堡市都会区'], '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(数据)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)

我得到如下所示的输出

我想在 K 表示的顶部添加每个条的值.例如在 2013 中,Michigan 的栏位于 48411 所以我想在上面添加值 48.4K酒吧.对于所有的酒吧也是如此.

解决方案

更新至matplotlib v3.4.2

  • 使用

    对于单个或多个地块

    g = sns.catplot(x='year', y='income', data=df, kind='bar', col='geo_name',col_wrap=3,图例=真)g.fig.set_size_inches(15, 8)g.fig.subplots_adjust(top=0.9)g.fig.suptitle('带注释的条形计数')# 遍历轴对于 g.axes.ravel() 中的 ax:# 添加注释对于 ax.containers 中的 c:标签 = [f'{(v.get_height()/1000):.1f}K' for v in c]ax.bar_label(c, 标签=标签, 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 examplein 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.

    解决方案

    Updated as of matplotlib v3.4.2

    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()
    

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08-04 09:07