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")
>Solution :
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")
