Python Seaborn : Pie chart from count of values (showing the percentage too)-CodePudding

I have a dataframe like below-

df = pd.DataFrame([
    ['Fully Paid',1,1],
    ['Fully Paid',1,1],
    ['Fully Paid',1,0],
    ['Defaulted',1,0],
    ['Defaulted',1,0]
], columns=['LoanStatus', 'B', 'C'])

I am looking to plot this in a pie chart showing 60% of loan status is fully paid while 40% is defaulted. I am able to do this in a count plot but unable to do it in a pie chart -

COUNT PLOT: 

sns.countplot(x="LoanStatus",data=df)

EXPECTED:

A pie chart showing how many values are there with both the loan status along with the percentage.

CodePudding user response：

You can do this to get the pie plot. Adjust the fmt if you want to show the value and percentage differently.

#df.LoanStatus.
df = pd.DataFrame([
    ['Fully Paid',1,1],
    ['Fully Paid',1,1],
    ['Fully Paid',1,0],
    ['Defaulted',1,0],
    ['Defaulted',1,0]
], columns=['LoanStatus', 'B', 'C'])

total = df['LoanStatus'].value_counts().values.sum()

def fmt(x):
    return '{:.1f}%\n{:.0f}'.format(x, total*x/100)

plt.pie(df['LoanStatus'].value_counts().values, labels=df['LoanStatus'].value_counts().index, autopct=fmt)

Additional info - The def fmt() is a function which will be called for each entry while plotting. The value x will be the input which is the auto percent calculated (3/5100=60 and 2/5100=40). There are some more examples of using this