itertuples converts int to float for all numeric rows. #1505

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.

Sign up for GitHub

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

Jump to bottom

Closed

gerigk opened this issue Jun 21, 2012 · 0 comments

Labels

Bug

Milestone

gerigk commented Jun 21, 2012

from pandas import *
x = DataFrame([(1,3,4.5,6.5), (1,3,4.5,6.5)])
print x
print x.dtypes
for row in x.itertuples():
    print row

   0  1    2    3
0  1  3  4.5  6.5
1  1  3  4.5  6.5
0      int64
1      int64
2    float64
3    float64
(0, 1.0, 3.0, 4.5, 6.5)
(1, 1.0, 3.0, 4.5, 6.5)

mixed dtype row leaves ints untouched

rom pandas import *
x = DataFrame([(1,3,4.5,6.5,'a'), (1,3,4.5,6.5, 'b')])
print x
print x.dtypes
for row in x.itertuples():
    print row

  0  1    2    3  4
0  1  3  4.5  6.5  a
1  1  3  4.5  6.5  b
0      int64
1      int64
2    float64
3    float64
4     object
(0, 1, 3, 4.5, 6.5, 'a')
(1, 1, 3, 4.5, 6.5, 'b')

The text was updated successfully, but these errors were encountered:

wesm closed this as completed in

2c51144

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment