Pandas
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Adding missing dates in Datetime IndexChecking if a certain value in a DataFrame is NaNChecking if a DataFrame contains any missing valuesConverting a column with missing values to integer typeCounting non-missing valuesCounting number of rows with missing valuesCounting the number of NaN in each row of a DataFrameCounting number of NaN values in each column of a DataFrameCounting the total number of NaN values of a DataFrameFilling missing values using another columnFilling missing values with the mean of the columnFinding columns with missing valuesGetting integer indexes of rows with NaNGetting rows with missing valuesGetting rows with missing values in certain columnsGetting index of rows with missing values (NaNs)Getting index of rows without missing valuesMapping NaN values to 0 and non-NaN values to 1Mapping NaN values to False and non-NaN values to TrueRemoving columns where some rows contain missing valuesRemoving rows from a DataFrame with missing valuesReplacing all NaN values of a DataFrameReplacing all NaN values with zeros in a DataFrameReplacing missing valuesReplacing missing values with constantsReplacing NaN with blank stringReplacing NaNs for certain columnsReplacing NaNs with preceding valuesReplacing values with NaNsUsing interpolation to fill missing values
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Getting index of rows without missing values in Pandas DataFrame
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Pandas
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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 Ba 3.0 6.0b NaN 7.0c 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 Ba 3.0 6.0
We then use the DataFrame's index property to fetch the Index of df.
Related
Pandas DataFrame | dropna method
Removes rows or columns with missing values (NaNs).
Pandas DataFrame | index property
Returns a Series containing the index names of the DataFrame.
Published by Isshin Inada
Edited by 0 others
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