How does python calculate the number of missing values

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The number of missing values

When building a model, you may want to exclude rows with many or all missing values. You can use .isnull () and .sum () to calculate the number of missing values in a specified column.

Import pandas as pd import numpy as np df = pd.DataFrame ({'id': [1dje 2jin3],' c1century: [0re0rect np.nan], 'c2recording: [np.nan,1,1]}) dfdf = df [[' id', 'c1cards,' c2']] df ['num_nulls'] = df [[' c1'' 'c2'] .isnull () .sum (axis=1) df.head () above is all the content of the article "how python calculates the number of missing values" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!