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This article mainly shows you "python how to calculate the number of missing values", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "python how to calculate the number of missing values" this article.

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!

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