pythonpandas

Error converting object (string) to Int32: TypeError: object cannot be converted to an IntegerDtype

I get following error while trying to convert object (string) column in Pandas to Int32 which is integer type that allows for NA values.

df.column = df.column.astype('Int32')

TypeError: object cannot be converted to an IntegerDtype

I'm using pandas version: 0.25.3

Solution

  • It's known bug, as explained here.

    Workaround is to convert column first to float and than to Int32.

    Make sure you strip your column from whitespaces before you do conversion:

    df.column = df.column.str.strip()

    Than do conversion:

    df.column = df.column.astype('float')  # first convert to float before int
df.column = df.column.astype('Int32')

    or simpler:

     df.column = df.column.astype('float').astype('Int32') # or Int64