How do I count the NaN values in a column in pandas DataFrame?
You can use the isna() function to create a boolean mask of the NaN values in a column, and then use the sum() function to count the number of True values in the mask.
You can use the isna() function to create a boolean mask of the NaN values in a column, and then use the sum() function to count the number of True values in the mask. Here's an example:
count the NaN values in a column in pandas DataFrame
python— editable, runs on the server
<div class="alert alert-info flex not-prose">
<span class="hidden md:block">Watch a video course</span>Python - The Practical Guide</div>
You can also use df.isna().sum() to get the number of NaN values of all columns.