to_excel with engine='xlwt' doesn't support pandas.tslib.Timedelta

[s-celles]

Hello,

to_excel method with engine='xlwt' doesn't support pandas.tslib.Timedelta

import numpy as np
import pandas as pd

idx = pd.date_range('20140101', '20140201')
df = pd.DataFrame(index=idx)
df['col0'] = np.random.randn(len(idx))
s_idx = pd.Series(idx, index=idx)
diff_idx = (s_idx-s_idx.shift(1)).fillna(pd.Timedelta(0))
df['diff_dt'] = diff_idx
df.to_excel("out.xls", engine='xlwt')

it works fine with xlsx files (engine openpyxl or xlsxwriter).

Kind regards

[jreback]

showing the versions is always helpful (pd.show_versions()).

[s-celles]

INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Darwin
OS-release: 14.0.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: fr_FR.UTF-8

pandas: 0.15.2
nose: 1.3.4
Cython: 0.21.1
numpy: 1.9.1
scipy: 0.14.1rc1
statsmodels: 0.6.1
IPython: 2.3.1
sphinx: 1.2.3
patsy: 0.3.0
dateutil: 2.3
pytz: 2014.9
bottleneck: None
tables: 3.1.1
numexpr: 2.4
matplotlib: 1.4.2
openpyxl: 2.0.3
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.6.4
lxml: 3.4.1
bs4: 4.3.2
html5lib: 0.999
httplib2: 0.8
apiclient: None
rpy2: None
sqlalchemy: 0.9.8
pymysql: 0.6.2.None
psycopg2: None

[shoyer]

@scls19fr does this work with the plain datetime.timedelta type instead of pd.Timedelta? This might be another case where Timedelta does not quite conform to the timedelta API.

[alexbw]

+1