In [1]:
import collections
from matplotlib import pyplot as plt
%matplotlib inline
import pandas as pd
pd.set_option('display.max_columns', 500)
In [2]:
filename = 'LBB_ETT_ETT_20160418_20170518_20170518_165325_sample.csv'
In [ ]:
df = pd.read_csv(filename, sep='|', encoding='utf-8', na_filter=False)
In [7]:
df[df.dc_romev3_1_id != 'NULL']
Out[7]:
In [8]:
column_names = [
'dn_nbjcaltotalmission',
'dc_nafinsee700_id',
'dn_nbmission',
'dc_nafrefv2_id',
'dc_trancheeffectif_id',
'dc_romev3_1_id',
#'dc_romev3_2_id',
]
In [ ]:
df[column_names][::55]