Read csv with dd.mm.yyyy in Python and Pandas -


i reading csv file german date format. seems worked ok in post:

picking dates imported csv pandas/python

however, seems in case date not recognized such. not find wrong string in test file.

import pandas pd import numpy np   %matplotlib inline import matplotlib.pyplot plt  matplotlib import style pandas import dataframe  style.use('ggplot')  df = pd.read_csv('testdata.csv', dayfirst=true, parse_dates=true) df[:5]

table

this results in:

screenshot

so, column dates not recognized such. doing wrong here? or date format not compatible?

  • osx 10.10.3
  • anaconda conda 3.13.0
  • python 3.4.3-0
  • ipython notebook 3.1.0

if use parse_dates=true read_csv tries parse index date. therefore, need declare first column index index_col=[0]:

in [216]: pd.read_csv('testdata.csv', dayfirst=true, parse_dates=true, index_col=[0]) out[216]:              morgens  mittags  abends datum                                2015-03-16      382      452     202 2015-03-17      288      467     192

alternatively, if don't want datum column index, use parse_dates=[0] explicitly tell read_csv parse first column dates:

in [217]: pd.read_csv('testdata.csv', dayfirst=true, parse_dates=[0]) out[217]:         datum  morgens  mittags  abends 0 2015-03-16      382      452     202 1 2015-03-17      288      467     192

under hood read_csv uses dateutil.parser.parse parse date strings:

in [218]: import dateutil.parser dp  in [221]: dp.parse('16.03.2015', dayfirst=true) out[221]: datetime.datetime(2015, 3, 16, 0, 0)

since dateutil.parser has no trouble parsing date strings in dd.mm.yyyy format, don't have declare custom date parser here.


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