Re: [Numpy-discussion] ANN: NumPy Developer Meeting: July 7th @ SciPy 2015 in Austin

2015-05-13 Thread Brian Granger
Great! On Wed, May 13, 2015 at 5:23 PM, Nathaniel Smith wrote: > Hi all, > > I wanted to announce that the numpy core team will be organizing a > whole-day face-to-face developer meeting on July 7 this year at the > SciPy conference in Austin, TX. (This is the second day of the > tutorials and t

Re: [Numpy-discussion] Help loading data into pandas

2015-05-13 Thread Vincent Davis
On Wed, May 13, 2015 at 3:27 PM, Nathaniel Smith wrote: > I don't think pandas allows blank values in integer columns? You might get > better results asking on the pandas list, though -- see > http://pandas.pydata.org/community.html > ​"integer columns" seems to be the key. they have to be floa

[Numpy-discussion] ANN: NumPy Developer Meeting: July 7th @ SciPy 2015 in Austin

2015-05-13 Thread Nathaniel Smith
Hi all, I wanted to announce that the numpy core team will be organizing a whole-day face-to-face developer meeting on July 7 this year at the SciPy conference in Austin, TX. (This is the second day of the tutorials and the day before the conference proper starts.) This will be a working meeting t

[Numpy-discussion] ANN: SciPy 2015 Talk & Poster Selections Announced Today, Early Bird Deadline 5/22

2015-05-13 Thread Courtenay Godshall (Enthought)
The talks & posters for the 2015 SciPy Conference were announced today: http://scipy2015.scipy.org/ehome/115969/292868/? &. Early bird registration deadline was extended (final) to 5/22 - hope we'll see you this year! _

Re: [Numpy-discussion] Help loading data into pandas

2015-05-13 Thread Nathaniel Smith
I don't think pandas allows blank values in integer columns? You might get better results asking on the pandas list, though -- see http://pandas.pydata.org/community.html -n On May 13, 2015 2:17 PM, "Vincent Davis" wrote: > ​I have a large (~400mb) csv file I am trying to open in Pandas. When

[Numpy-discussion] Help loading data into pandas

2015-05-13 Thread Vincent Davis
​I have a large (~400mb) csv file I am trying to open in Pandas. When I don't specify the dtype and open it with the following command It appears to work. df = pd.io.parsers.read_csv(CSVFILECLEAN2013, quotechar='"', low_memory=False, na_values='') If I try to specify the dtype for each field I ge