How to display all the values of an index in a Series?

Question

I don't know how to display all the indexes of a Series.

# current settings

import pandas as pd

pd.set_option('display.max_columns', 10000)

pd.set_option('display.max_rows', 10000)

s = pd.Series(np.random.randn(199), index=['place_id', 'name', 'formatted_address', 'formatted_phone_number',

       'num_comments', 'rating', 'price', 'website', 'lng', 'lat', 'category',

       'permanently_closed', 'lunes_open', 'lunes_close_mid', 'lunes_open_mid',

       'lunes_close', 'martes_open', 'martes_close_mid', 'martes_open_mid',

       'martes_close', 'miércoles_open', 'miércoles_close_mid',

       'miércoles_open_mid', 'miércoles_close', 'jueves_open',

       'jueves_close_mid', 'jueves_open_mid', 'jueves_close', 'viernes_open',

       'viernes_close_mid', 'viernes_open_mid', 'viernes_close', 'sábado_open',

       'sábado_close_mid', 'sábado_open_mid', 'sábado_close', 'domingo_open',

       'domingo_close_mid', 'domingo_open_mid', 'domingo_close', 'Monday_00',

       'Monday_01', 'Monday_02', 'Monday_03', 'Monday_04', 'Monday_05',

       'Monday_06', 'Monday_07', 'Monday_08', 'Monday_09','Monday_10', 'Monday_11', 'Monday_12', 'Monday_13', 'Monday_14',

       'Monday_15', 'Monday_16', 'Monday_17', 'Monday_18', 'Monday_19',

       'Monday_20', 'Monday_21', 'Monday_22', 'Monday_23', 'Monday_peak',

       'Tuesday_00', 'Tuesday_01', 'Tuesday_02', 'Tuesday_03', 'Tuesday_04',

       'Tuesday_05', 'Tuesday_06', 'Tuesday_07', 'Tuesday_08', 'Tuesday_09',

       'Tuesday_10', 'Tuesday_11', 'Tuesday_12', 'Tuesday_13', 'Tuesday_14',

       'Tuesday_15', 'Tuesday_16', 'Tuesday_17', 'Tuesday_18', 'Tuesday_19',

       'Tuesday_20', 'Tuesday_21', 'Tuesday_22', 'Tuesday_23', 'Tuesday_peak',

       'Wednesday_00', 'Wednesday_01', 'Wednesday_02', 'Wednesday_03',

       'Wednesday_04', 'Wednesday_05', 'Wednesday_06', 'Wednesday_07',

       'Wednesday_08', 'Wednesday_09','Wednesday_11', 'Wednesday_12', 'Wednesday_13', 'Wednesday_14',

       'Wednesday_15', 'Wednesday_16', 'Wednesday_17', 'Wednesday_18',

       'Wednesday_19', 'Wednesday_20', 'Wednesday_21', 'Wednesday_22',

       'Wednesday_23', 'Wednesday_peak', 'Thursday_00', 'Thursday_01',

       'Thursday_02', 'Thursday_03', 'Thursday_04', 'Thursday_05',

       'Thursday_06', 'Thursday_07', 'Thursday_08', 'Thursday_09',

       'Thursday_10', 'Thursday_11', 'Thursday_12', 'Thursday_13',

       'Thursday_14', 'Thursday_15', 'Thursday_16', 'Thursday_17',

       'Thursday_18', 'Thursday_19', 'Thursday_20', 'Thursday_21',

       'Thursday_22', 'Thursday_23', 'Thursday_peak', 'Friday_00', 'Friday_01',

       'Friday_02', 'Friday_03', 'Friday_04', 'Friday_05', 'Friday_06',

       'Friday_07', 'Friday_08', 'Friday_09', 'Friday_10', 'Friday_11',

       'Friday_12', 'Friday_13', 'Friday_14', 'Friday_15', 'Friday_16',

       'Friday_17', 'Friday_18', 'Friday_19', 'Friday_20', 'Friday_21',

       'Friday_22', 'Friday_23', 'Friday_peak', 'Saturday_00', 'Saturday_01',

       'Saturday_02', 'Saturday_03', 'Saturday_04', 'Saturday_05',

       'Saturday_06', 'Saturday_07', 'Saturday_08', 'Saturday_09',

       'Saturday_10', 'Saturday_11', 'Saturday_12', 'Saturday_13',

       'Saturday_14', 'Saturday_15', 'Saturday_16', 'Saturday_17',

       'Saturday_18', 'Saturday_19', 'Saturday_20', 'Saturday_21',

       'Saturday_22', 'Saturday_23', 'Saturday_peak', 'Sunday_00', 'Sunday_01',

       'Sunday_02', 'Sunday_03', 'Sunday_04', 'Sunday_05', 'Sunday_06',

       'Sunday_07', 'Sunday_08', 'Sunday_09'])

# I ask for the index

s.index

Instead of getting all the values I only see this

Out[94]: Index(['place_id', 'name', 'formatted_address', 'formatted_phone_number', 'num_comments', 'rating', 'price', 'website', 'lng', 'lat', ... 'Sunday_00', 'Sunday_01', 'Sunday_02', 'Sunday_03', 'Sunday_04', 'Sunday_05', 'Sunday_06', 'Sunday_07', 'Sunday_08', 'Sunday_09'], dtype='object', length=199)

Answer 1

You need to change the pd.options.display.max_seq_items to None. The default value is 100 and that will prevent pandas from displaying all values like you want to.

Use this code:

pd.options.display.max_seq_items = None