pie chart drawing for a specific column in pandas python

Question

I have a dataframe df, which has many columns. In df["house_electricity"], there are values like 1,0 or blank/NA. I want to plot the column in terms of a pie chart, where percentage of only 1 and 0 will be shown. Similarly I want to plot another pie chart where percentage of 1,0 and blank/N.A all will be there.

customer_id	house_electricity	house_refrigerator
cid01	0	0
cid02	1	na
cid03		1
cid04	1
cid05	na	0

#I wrote the following but it didnt give my my expected result
import pandas as pd
import matplotlib.pyplot as plt

df=pd.read_csv("my_file.csv")

df_col=df.columns



df["house_electricity"].plot(kind="pie")

#I wrote the following but it didnt give my my expected result
import pandas as pd
import matplotlib.pyplot as plt

df=pd.read_csv("my_file.csv")

df_col=df.columns



df["house_electricity"].plot(kind="pie")

Asked By: Sur

||

Source

Answer 1

For a dataframe

df = pd.DataFrame({'a':[1,0,np.nan,1,1,1,'',0,0,np.nan]})
df

a
0   1
1   0
2   NaN
3   1
4   1
5   1
6   
7   0
8   0
9   NaN

The code below will give

df["a"].value_counts(dropna=False).plot(kind="pie")

If you want combine na and empty value, try replacing empty values with np.nan, then try to plot

df["a"].replace("", np.nan).value_counts(dropna=False).plot(kind="pie")

Answered By: imdevskp

Answer 2

For solution you need to try with this code to generate 3 blocks.

import pandas as pd
import matplotlib.pyplot as plt

data = {'customer_id': ['cid01', 'cid02', 'cid03', 'cid04', 'cid05'],
        'house_electricity': [0, 1, None, 1, None],
        'house_refrigerator': [0, None, 1, None, 0]}

df = pd.DataFrame(data)

counts = df['house_electricity'].value_counts(dropna=False)
counts.plot.pie(autopct='%1.1f%%', labels=['0', '1', 'NaN'], shadow=True)

plt.title('Percentage distribution of house_electricity column')

plt.axis('equal')
plt.show()

Result:

Answered By: NIKUNJ KOTHIYA

pie chart drawing for a specific column in pandas python

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