How to show counts of null string-like column values in pandas
StephenBoesch
The dataframe.describe() has the following columns for string like columns:
count unique top freq first last
While these are certainly useful it is also v important to understand if there were null values in any given columns and how many.
While I could resort to writing custom function to find this it would be a significant additional overhead. Note that there is a related question but that focuses on numeric columns and is thus not directly applicable: How to count the NaN values in a column in pandas DataFrame. So is there another helper function that can provide that additional information?
Quang Hoang
For a quick glance of number of nan in each columns:
dataframe.isna().sum()
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