Is there a way to compare the column names of two separate Pandas data frames? Specifically, I am interested in comparing the columns between my train and test data frames. There are some columns missing in the test data frame that I need to identify.
When working with pandas.Index objects, like dataframe columns, there are convenient set-like methods available. These include intersection and difference, which can be quite useful.
To illustrate, consider two dataframes called train and test:
train_cols = train.columns
test_cols = test.columns
common_cols = train_cols.intersection(test_cols)
train_not_test = train_cols.difference(test_cols)
training_columns = train.columns
testing_columns = test.columns
common_cols = training_columns.intersection(testing_columns)
train_not_test = training_columns.difference(testing_columns)
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