如何在 pandas 中绘制图形计数表 [英] How to draw a graphical count table in pandas

问题描述

我有一个数据帧df，其中有两列customer1和customer2，它们是字符串值.我想对这两列中每对的计数数字进行正方形图形表示.

I have a dataframe df with two columns customer1 and customer2 which are string valued. I would like to make a square graphical representation of the count number for each pair from those two columns.

我能做

df[['customer1', 'customer2']].value_counts()

这将给我计数.但是我该如何制作看起来像这样的东西:

which will give me the counts. But how can I make something that looks a little like:

从结果中得到吗?

我无法提供真实的数据集，但这是一个在csv中带有三个标签的玩具示例.

I can't provide my real dataset but here is a toy example with three labels in csv.

customer1,customer2
a,b
a,c
a,c
b,a
b,c
b,c
c,c
a,a
b,c
b,c

推荐答案

更新:

是否可以对行/列进行排序，使计数最高的行 在顶部 ?在这种情况下，顺序为b，a，c

Is it possible to sort the rows/columns so the highest count rows are at the top ? In this case the order would be b,a,c

IIUC，您可以通过这种方式(在哪里)做到这一点:

IIUC you can do it this way (where ):

In [80]: x = df.pivot_table(index='customer1',columns='customer2',aggfunc='size',fill_value=0)

In [81]: idx = x.max(axis=1).sort_values(ascending=0).index

In [82]: idx
Out[82]: Index(['b', 'a', 'c'], dtype='object', name='customer1')

In [87]: sns.heatmap(x[idx].reindex(idx), annot=True)
Out[87]: <matplotlib.axes._subplots.AxesSubplot at 0x9ee3f98>

老答案:

您可以使用 heatmap()方法seaborn模块:

In [42]: import seaborn as sns

In [43]: df
Out[43]:
  customer1 customer2
0         a         b
1         a         c
2         a         c
3         b         a
4         b         c
5         b         c
6         c         c
7         a         a
8         b         c
9         b         c

In [44]: x = df.pivot_table(index='customer1',columns='customer2',aggfunc='size',fill_value=0)

In [45]: x
Out[45]:
customer2  a  b  c
customer1
a          1  1  2
b          1  0  4
c          0  0  1

In [46]: sns.heatmap(x)
Out[46]: <matplotlib.axes._subplots.AxesSubplot at 0xb150b70>

或带有注释:

In [48]: sns.heatmap(x, annot=True)
Out[48]: <matplotlib.axes._subplots.AxesSubplot at 0xc596d68>

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