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I have done some searching for the answer to this question, but all I can figure out is this:
df[df.columns[len(df.columns)-1]] which to me seems unweildy, and un-pythonic (and slow?).
What is the easiest way to select the data for the last column in a pandas dataframe without specifying the name of the column?
903
To select all columns except one column in Pandas DataFrame, we can use df. loc[:, df. columns != <column name>].
Select & print last row of dataframe using tail() It will return the last row of dataframe as a dataframe object. Using the tail() function, we fetched the last row of dataframe as a dataframe and then just printed it.
Use iloc and select all rows (:) against the last column (-1):
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