How do I check for NaN values in a Pandas DataFrame?
You can use the isna()
method to check for NaN values. For example, df.isna()
will return a DataFrame of the same shape with True for NaN values.
Can I get a count of NaN values in each column?
Yes! You can use df.isna().sum()
to get the count of NaN values for each column in the DataFrame.
What if I want to drop rows with NaN values?
You can use the dropna()
method. For example, df.dropna()
will remove all rows that contain any NaN values.
Is there a way to fill NaN values instead of dropping them?
Absolutely! You can use the fillna()
method. For instance, df.fillna(0)
will replace all NaN values with 0.
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