[FIXED] How can I choose two different rows of a DataFrame and have them in a new DataFrame?

Issue

What is simplest way to choose two different rows of a dataframe?

tx_df is the original dataset, and toy_df is the subset which is supposed to contain only two rows of the original dataset.

toy_df = tx_df.loc[tx_df['CustomerID'] == (14566) ]
toy_df = tx_df.loc[tx_df['CustomerID'] == (17844) ]

Thank you

Solution

tx_df.set_index('CustomerID').loc[[14566, 17844]]
tx_df[tx_df.CustomerID.isin([14566, 17844])]
tx_df.query('CustomerID == 14566 or CusromerID == 17844')

P.S. I think that in this case the easiest way to locate records by CustomerID would be to use the latter as an index (see the first line in the code above).

Answered By - Vitalizzare