python - MultiIndex and DateTime -


i have sorted csv dataset 4 columns want use multiindex, including 2 datetime columns:

alex,beta,2011-03-01 00:00:00,2011-03-03 00:00:00,a,8,11.4 alex,beta,2011-03-03 00:00:00,2011-03-05 00:00:00,b,10,17.2 alex,beta,2011-03-05 00:00:00,2011-03-07 00:00:00,a,3,11.4 alex,beta,2011-03-07 00:00:00,2011-03-09 00:00:00,b,7,17.2 alex,orion,2011-03-02 00:00:00,2011-03-04 00:00:00,a,4,11.4 alex,orion,2011-03-03 00:00:00,2011-03-05 00:00:00,b,6,17.2 alex,orion,2011-03-04 00:00:00,2011-03-06 00:00:00,a,3,11.4 alex,orion,2011-03-05 00:00:00,2011-03-07 00:00:00,b,11,17.2 alex,zzyzx,2011-03-02 00:00:00,2011-03-05 00:00:00,a,10,11.4 alex,zzyzx,2011-03-04 00:00:00,2011-03-07 00:00:00,a,15,11.4 alex,zzyzx,2011-03-06 00:00:00,2011-03-09 00:00:00,b,20,17.2 alex,zzyzx,2011-03-08 00:00:00,2011-03-11 00:00:00,b,5,17.2

i can load read_csv , display dataframe hierarchically. indexing matter. nearest can tell pandas doesn't using datetime indexes here. if comment out datetime labels in index_col corresponding entries in indexing statement (df.loc), works fine.

any ideas?

#!/usr/bin/env python  import numpy np import pandas pd  pd.set_option('display.height',            400) pd.set_option('display.width',             400) pd.set_option('display.max_rows',         1000) pd.set_option('display.max_columns',        30) pd.set_option('display.line_width',        200)  try:     df = pd.read_csv(         './sales.csv',         header =                          none,         na_values =                   ['null'],         names = [             'salesperson',             'customer',             'invoice_date',             'ship_date',             'product',             'quantity',             'price',         ],         index_col = [             'salesperson',             'customer',             'invoice_date',             'ship_date',         ],         parse_dates = [             'invoice_date',             'ship_date',         ],     ) except exception e:     print(e)  try:     print(df)     print(df.loc[(         'alex',                    # salesperson         'zzyzx',                   # customer         '2011-03-02 00:00:00',     # invoice_date         '2011-03-05 00:00:00',     # ship_date     )]) except exception e:     print(e)

it seems work fine, im getting proper df. although try avoiding empty entries in every list.

if use parse_dates should access columns proper datetime object:

df.loc[('alex','zzyzx',pd.datetime(2011,3,2),pd.datetime(2011,3,5))]  product        quantity      10 price       11.4 name: (alex, zzyzx, 2011-03-02 00:00:00, 2011-03-05 00:00:00), dtype: object

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