Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Failure when constructing a DataFrame from multiple time series. #1753

lodagro opened this issue Aug 10, 2012 · 1 comment


Copy link

commented Aug 10, 2012

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:

I could reproduce it.

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

In [102]: pandas.__version__
Out[102]: ''

In [103]: df
<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)

This comment has been minimized.

Copy link

commented Aug 10, 2012

Fixed in aea7c45

@wesm wesm closed this Aug 10, 2012

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
None yet
2 participants
You can’t perform that action at this time.