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This is an error often encountered while doing data analysis such as machine learning using Python,Numpy,Pandas.
I often forget, so I am writing this post as a memo.
AttributeError: 'numpy.ndarray' object has no attribute 'fillna'
The following is a sample when you want to do replace missing values(Nan) with previous values.
If you want to replace missing values(NaN) with next values, use method=’bfill’.
I think it is more easy to use ‘fillna’ in order to keep the number of data with train_y unchanged.
However, since it affects the results of data analysis, you need to pay attention to the data to be replaced.
# Replace missing values with previous values train_X = train_df.fillna(method='ffill').values
The following is a sample when you want to delete a column with missing values.
# Delete a column with missing values train_X = train_df.drop(train_df.columns[np.isnan(train_df).any()], axis=1).valuesNo tags for this post.