Failure when constructing a DataFrame from multiple time series. · Issue #1753 · pandas-dev/pandas (original) (raw)

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Description

From stackoverflow.

Constructing a DataFrame from multiple time series fails, all values from the resulting frame are NaN (which is not the case in the individual series).

Code to reproduce: http://pastebin.com/WTsCkKrL

I could reproduce it.

In [101]: np.version Out[101]: '1.6.1'

In [102]: pandas.version Out[102]: '0.8.2.dev-8cde377'

In [103]: df Out[103]: <class 'pandas.core.frame.DataFrame'> DatetimeIndex: 386 entries, 1992-06-05 15:50:11.527680 to 1774-08-13 02:00:15.237103 Data columns: 770000000006 0 non-null values 770000000009 0 non-null values 770000000010 0 non-null values 770000000011 0 non-null values 770000000012 0 non-null values 770000000013 0 non-null values 770000000018 0 non-null values 770000000020 0 non-null values 770000000021 0 non-null values 770000000022 0 non-null values 770000000024 0 non-null values 770000000029 0 non-null values 770000000030 0 non-null values 770000000032 0 non-null values 770000000034 0 non-null values 770000000049 0 non-null values dtypes: float64(16)