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¿Restablecer el índice de columna en Pandas a 0,1,2,3...?

¿Cómo hago para restablecer el índice de las columnas de mi marco de datos a 0,1,2,3,4?

(¿Cómo es que hacer df.reset_index() no restablece el índice de la columna?)

 >>> data = data.drop(data.columns[[1,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]], axis=1) >>> data = data.drop(data.index[[0,1]],axis = 0) >>> print(data.head()) 0 2 3 4 20 2 500292014600 .00 .00 .00 NaN 3 500292014600 100.00 .00 .00 NaN 4 500292014600 11202.00 .00 .00 NaN >>> data = data.reset_index(drop = True) >>> print(data.head()) 0 2 3 4 20 0 500292014600 .00 .00 .00 NaN 1 500292014600 100.00 .00 .00 NaN 2 500292014600 11202.00 .00 .00 NaN
over 4 years ago · Santiago Trujillo
3 answers
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0

Prueba lo siguiente:

 df = df.T.reset_index(drop=True).T
over 4 years ago · Santiago Trujillo Report

0

Intente reemplazar los nombres de las columnas:

 >>> import numpy as np >>> import pandas as pd >>> my_data = [[500292014600, .00, .00, .00, np.nan], [500292014600, 100.00, .00, .00, np.nan], [500292014600, 11202.00, .00, .00, np.nan]] >>> df = pd.DataFrame(my_data, columns=[0,2,3,4,20]) >>> df 0 2 3 4 20 0 500292014600 0.0 0.0 0.0 NaN 1 500292014600 100.0 0.0 0.0 NaN 2 500292014600 11202.0 0.0 0.0 NaN >>> df.columns = range(df.shape[1]) >>> df 0 1 2 3 4 0 500292014600 0.0 0.0 0.0 NaN 1 500292014600 100.0 0.0 0.0 NaN 2 500292014600 11202.0 0.0 0.0 NaN
over 4 years ago · Santiago Trujillo Report

0

En pandas, por índice te refieres esencialmente al índice de fila. Como puede ver en sus datos, el índice de la fila se restablece después de soltar y reset_index().

Para las columnas, debe cambiarles el nombre, puede hacer algo como

 data.columns = [ 0,1,2,3,4]
over 4 years ago · Santiago Trujillo Report
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