Seaborn多个木槌 [英] Seaborn multiple barplots

问题描述

我有一个看起来像这样的熊猫数据框:

I have a pandas dataframe that looks like this:

    class       men       woman   children
0   first   0.91468    0.667971   0.660562
1   second  0.30012    0.329380   0.882608
2   third   0.11899    0.189747   0.121259

我将如何使用seaborn来创建一个像这样的情节?我必须以某种方式重新排列我的数据吗?

How would I create a plot using seaborn that looks like this? Do I have to rearrange my data in some way?

_{(来源:stanford.edu上的 mwaskom )}

_{(source: mwaskom at stanford.edu)}

推荐答案

是的，您需要重塑DataFrame:

Yes you need to reshape the DataFrame:

df = pd.melt(df, id_vars="class", var_name="sex", value_name="survival rate")
df
Out: 
    class       sex  survival rate
0   first       men       0.914680
1  second       men       0.300120
2   third       men       0.118990
3   first     woman       0.667971
4  second     woman       0.329380
5   third     woman       0.189747
6   first  children       0.660562
7  second  children       0.882608
8   third  children       0.121259

现在，您可以使用factorplot(v0.8.1或更早版本):

Now, you can use factorplot (v0.8.1 or earlier):

sns.factorplot(x='class', y='survival rate', hue='sex', data=df, kind='bar')

对于0.9.0或更高版本，如Matthew在评论中所述，您需要使用重命名的版本catplot.

For versions 0.9.0 or later, as Matthew noted in the comments, you need to use the renamed version, catplot.

sns.catplot(x='class', y='survival rate', hue='sex', data=df, kind='bar')

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