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Getting index of rows without missing values in Pandas DataFrame

schedule Aug 12, 2023
Last updated
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Example

Consider the following DataFrame:

df = pd.DataFrame({"A":[3,pd.np.NaN,5],"B":[6,7,pd.np.NaN]}, index=["a","b","c"])
df
A B
a 3.0 6.0
b NaN 7.0
c 5.0 NaN

Solution

To get the index of rows without missing values in a DataFrame:

df.dropna().index
Index(['a'], dtype='object')

Explanation

The DataFrame.dropna() method returns a new DataFrame that excludes all rows with missing values:

df.dropna()
A B
a 3.0 6.0

We then use the DataFrame's index property to fetch the Index of df.

robocat
Published by Isshin Inada
Edited by 0 others
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