python - Why won't barchart in Pandas stack different values?

Question

Using Pandas, python 3. Working in jupyter.

Ive made this graph below using the following code:

temp3 = pd.crosstab(df['Credit_History'], df['Loan_Status']) 
temp3.plot(kind = 'bar', stacked = True, color = ['red', 'blue'], grid = False)
print(temp3)

And then tried to do the same, but with divisions for Gender. I wanted to make this:

So I wrote this code:

And made this monstrosity. I'm unfamiliar with pivot tables in pandas, and after reading documentation, am still confused. I'm assuming that aggfunc affects the values given, but not the indices. How can I separate the loan status so that it reads as different colors for 'Y' and 'N'?

Trying a method similar to the methods used for temp3 simply yields a key error:

temp3x = pd.crosstab(df['Credit_History'], df['Loan_Status', 'Gender']) 
temp3x.plot(kind = 'bar', stacked = True, color = ['red', 'blue'], grid = False)
print(temp3)

How can I make the 'Y' and 'N' appear separately as they are in the first graph, but for all 4 bars instead of using just 2 bars?

Answer 1

您需要创建一个名为Loan_status_word然后旋转的新列。

loan_status_word = loan_status.map({0:'No', 1:'Yes'})
df.pivot_table(values='Loan_Status', 
               index=['Credit_History', 'Gender'], 
               columns = 'loan_status_word', 
               aggfunc ='size')

Answer 2

尝试格式化您的数据，使您想要在图例中的每个项目都在一个列中。

df = pd.DataFrame(
    [
        [3, 1],
        [4, 1],
        [1, 4],
        [1, 3]
    ], 
    pd.MultiIndex.from_product([(1, 0), list('MF')], names=['Credit', 'Gendeer']),
    pd.Index(['Yes', 'No'], name='Loan Status')
)
df

---

然后你可以绘制

df.plot.bar(stacked=True)

Answer 3

下面是实现预期结果的代码：

temp4=pd.crosstab([df['Credit_History'],df['Gender']],df['Loan_Status'])
temp4.plot(kind='bar',stacked=True,color=['red','blue'],grid=False)