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Binary operations on int DataMatrix #3

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wesm opened this issue Sep 29, 2010 · 1 comment
Closed

Binary operations on int DataMatrix #3

wesm opened this issue Sep 29, 2010 · 1 comment

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@wesm
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wesm commented Sep 29, 2010

Reported by kwgoodman, Jun 12, 2010
When adding two int DataMatrix's a ValueError is raised when matrix.py attempt to fill missing values with NaN:

dma1 = pandas.DataMatrix([[1, 2], [3, 4]], ['a', 'b'], ['c', 'd'])
dma2 = pandas.DataMatrix([[1, 2], [3, 4]], ['b', 'a'], ['d', 'c'])
dma1 + dma2

ValueError: cannot convert float NaN to integer

Delete comment Comment 1 by kwgoodman, Jun 12, 2010
Possible fix:

x = np.array([1.0])
issubclass(x.dtype.type, np.inexact)
True
x = np.array([1])
issubclass(x.dtype.type, np.inexact)
False
x = np.array([1.0], dtype=object)
issubclass(x.dtype.type, np.inexact)
False
x = np.array([1.0], dtype=str)
issubclass(x.dtype.type, np.inexact)
False
@wesm
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wesm commented Jan 1, 2011

I guess I "accidentally" fixed this via some routine refactoring / code cleanup

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@bashtage bashtage mentioned this issue Jul 6, 2015
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@jdfekete jdfekete mentioned this issue Nov 28, 2015
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RahulHP added a commit to RahulHP/pandas that referenced this issue May 27, 2016
@RahulHP
ENH: Allow to_sql to recognize single sql type pandas-dev#11886
20f0c21 
PEP pandas-dev#3
RahulHP added a commit to RahulHP/pandas that referenced this issue May 28, 2016
@RahulHP
ENH: Allow to_sql to recognize single sql type pandas-dev#11886
9d7c7f6 
ENH: support decimal option in PythonParser pandas-dev#12933

closes pandas-dev#12933

Author: Camilo Cota <ccota@riplife.es>

Closes pandas-dev#13189 from camilocot/12933 and squashes the following commits:

465272e [Camilo Cota] Benchmark decimal option in read_csv for c engine
9f42d0c [Camilo Cota] double backticks around decimal and engine='python'
dc8ca62 [Camilo Cota] fix test_empty_decimal_marker comment
49613fe [Camilo Cota] Assert read_csv error message in test_empty_decimal_marker
d821052 [Camilo Cota] fix test_empty_decimal_marker comment
f71509d [Camilo Cota] Include descritive what's new line
803356e [Camilo Cota] set nonnum regex in init method
1472d80 [Camilo Cota] Include the issue number in what's new
b560fda [Camilo Cota] Fix what's new
dc7acd1 [Camilo Cota] ENH: support decimal option in PythonParser pandas-dev#12933

ENH: Allow to_sql to recognize single sql type pandas-dev#11886

PEP pandas-dev#3
@jeffknupp jeffknupp mentioned this issue Jun 29, 2017
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dan-nadler pushed a commit to dan-nadler/pandas that referenced this issue Sep 23, 2019
@jamesblackburn
Merge pull request pandas-dev#3 in DATA/arctic from MDP-448_tickstore…
0a4c3c1 
…_timezone_inconsistency to master

* commit 'fc8eafdf5528a6fe52d1f471a9cdf9454e81f6e6':
  MDP-448 to_dt should respect default_tz for ms since epoch datetimes         Add unit tests
  MDP-448 Make ms_to_datetime always return a non-naive datetime.datetime
  MDP-448 remove debug print
  MDP-448 Fix arctic_copy_data. If the VersionStore data has no TimeZone then don't slice the the original_data using a timezone during --spliceing
  MDP-448 to_pandas_closed_closed now does an implicit to_dt
  MDP-448 Ensure we use non-naive datetimes for the Mongo query in the read-path
  MDP-448 Ensure we set a TimeZone on the returned DataFrame on tickstore.read. We store time as ms since epoch, and this will prevent confusion on interpretation with naive DateTimes on read.
@smcinerney smcinerney mentioned this issue Mar 6, 2020
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jreback pushed a commit that referenced this issue Aug 10, 2020
@ivirshup
BUG: Fix assert_equal when check_exact=True for non-numeric dtypes #3… (
9a8152c 
#35522)
@meeseeksmachine meeseeksmachine mentioned this issue Aug 10, 2020
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meeseeksmachine pushed a commit to meeseeksmachine/pandas that referenced this issue Aug 10, 2020
@ivirshup @meeseeksmachine
Backport PR pandas-dev#35522: BUG: Fix assert_equal when check_exact=…
dd51eb3 
…True for non-numeric dtypes pandas-dev#3…
simonjayhawkins pushed a commit that referenced this issue Aug 10, 2020
@meeseeksmachine @ivirshup
Backport PR #35522: BUG: Fix assert_equal when check_exact=True for n…
7957254 
…on-numeric dtypes #3… (#35652)

Co-authored-by: Isaac Virshup <ivirshup@gmail.com>
@maripisravankumar maripisravankumar mentioned this issue Aug 31, 2021
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phofl referenced this issue in phofl/pandas Aug 16, 2022
@datajanko
Merge pull request #3 from pandas-dev/master
a1a1cb2 
updates from upstream
@anthonyaag anthonyaag mentioned this issue Sep 20, 2022
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@anthonyaag anthonyaag mentioned this issue Sep 20, 2022
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dimastbk pushed a commit to dimastbk/pandas that referenced this issue Aug 2, 2023
@kostyafarber
Merge pull request pandas-dev#3 from dimastbk/issue-50395
677a224 
some improves
@WillAyd WillAyd mentioned this issue Aug 29, 2023
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@lukemanley lukemanley mentioned this issue Jan 25, 2024
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