In Python, Pandas DataFrame is a commonly used data structure for data manipulation and analysis. In this Byte, we will focus on handling non-NaN (Not a Number) values in DataFrame columns. We will learn how to count and calculate total non-NaN values, and also treat empty strings as NA...
- This is a modal window. No compatible source was found for this media. pandaspddfpdDataFrame# Display the Original DataFrameprint("Original DataFrame:")print(df)# Get unique values from a columnresult=pd.unique(df['A'])print('\nThe unique values:\n',result) ...
However, in our current example, the field values don’t include the delimiter. Since there are five columns in total, we can use the cut command with a comma delimiter to extract the fourth column, the one before the last: $ cut -d ',' -f 4 file.txt J7K8L Y7Z8A N7O8P We ...