'How do I identify nan values in pandas data frame where all variables are categorical?
I have a data frame with all categorical variables and when I apply
df.isnull().sum(axis=0). or even df.isna gives 0.
to get all the nans column wise I get an output which shows 0 for all columns however I can see many missing values when I do df.head(50). I think it is because it is obj types it is not getting identified. Is there a workaround?
Solution 1:[1]
You can check Null values with the following code:
print(df.isnull().any())
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | ElhamMotamedi |
