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Convert your columns into rows, and rows into columns.
Transposing data turns a dataframe's columns into rows, and rows into columns. Usually pandas dataframes are organized such that each row represents a record, transaction, object, etc., and each column represents a different attribute of those records. When your data is organized in the opposite orientation, using transpose is a helpful step in preparing your data.
To transpose a dataframe:
- 1.Select the dataframe that you want to transpose.
- 2.Select the
The transpose operation creates a new dataframe in your Mito spreadsheet. It is named the name of the transposed dataframe appended with