how can i converte all columns from my excel file using pandas : I want to convert all columns (59 columns) from my excel file to a dataframe, specifying the types.
Some columns are string, others dates, other int and more.
I know I can use converter in a read_excel method.
but I have a lot of columns and I don't want write converter={'column1': type1, 'column2': type2, ..., 'column59': type59}

my code is:

    import numpy as np
    import pandas as pd
    import recordlinkage
    import xrld
    
    fileName = 'C:/Users/Tito/Desktop/banco ZIKA4.xlsx'
    strcols = [0, 5, 31, 36, 37, 38, 39, 40, 41, 45]
    datecols = [3, 4, 29, 30, 32, 48, 50, 51, 52, 53, 54, 55]
    intcols = [33, 43, 59]
    booleancols = [6, ..., 28]
    df = pd.read_excel(fileName, sheet_name=0, true_values=['s'], false_values=['n'], converters={strcols: str, intcols: np.int, booleancols: np.bool, datecols: pd.to_datetime})
    print(df.iat[1, 31], df.iat[1, 32], df.iat[1, 33])

