使用seaborn的绘图系列 [英] Plotting series using seaborn

问题描述

category = df.category_name_column.value_counts()  

我具有上面的返回值的系列:

I have the above series which returns the values:

CategoryA,100
CategoryB,200

我试图在X轴上绘制前5个类别名称，在y轴上绘制值

I am trying to plot the top 5 category names in X - axis and values in y-axis

head = (category.head(5)) 
sns.barplot(x = head ,y=df.category_name_column.value_counts(), data=df)

它不会在X轴上打印类别的名称"，而是显示计数.如何在X中打印前5名，在Y中打印值?

It does not print the "names" of the categories in the X-axis, but the count. How to print the top 5 names in X and Values in Y?

推荐答案

您可以传入系列的 index & values 到 x & y 分别在 sns.barplot 中.这样，绘图代码将变为:

You can pass in the series' index & values to x & y respectively in sns.barplot. With that the plotting code becomes:

sns.barplot(head.index, head.values)

我正在尝试绘制X中排名前5位的类别名称

I am trying to plot the top 5 category names in X

调用 category.head(5)将返回系列 category 中的前五个值，该值可能与 top 5 不同基于每个类别出现的次数.如果您要选择5个最常见的类别，则必须先对系列进行排序&；然后调用 head(5).像这样:

calling category.head(5) will return the first five values from the series category, which may be different than the top 5 based on the number of times each category appears. If you want the 5 most frequent categories, it is necessary to sort the series first & then call head(5). Like this:

category = df.category_name_column.value_counts()
head = category.sort_values(ascending=False).head(5)

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