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DataFrame to_csv() ignores nanRep argument for float32 input #182

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scottza opened this issue Sep 28, 2011 · 2 comments
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DataFrame to_csv() ignores nanRep argument for float32 input #182

scottza opened this issue Sep 28, 2011 · 2 comments
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Bug
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0.4.2

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@scottza
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scottza commented Sep 28, 2011

import numpy as np
import pandas

d = np.random.randn(8, 4)
df = pandas.DataFrame(d)
df[1][:] = np.nan
df.to_csv('pandas-success.csv', nanRep='999')

d = np.asarray(np.random.randn(8, 4), dtype=np.float32)
df = pandas.DataFrame(d)
df[1][:] = np.nan
df.to_csv('pandas-fail.csv', nanRep='999')

After running this with pandas 0.4.1 the file pandas-success.csv
contains the nanRep string '999' as defined, but the file
pandas-fail.csv contains the string 'nan' instead.
wesm added a commit that referenced this issue Oct 1, 2011
@wesm
BUG: isnull works with float32, address GH #182
2561e1d
@wesm
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wesm commented Oct 1, 2011

Fixed in the above commit. Will be part of the forthcoming 0.4.2 release

@wesm wesm closed this as completed Oct 1, 2011
@scottza
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scottza commented Oct 2, 2011

Thanks!
On Oct 1, 2011 9:24 PM, "Wes McKinney" <
reply@reply.github.com>
wrote:

Fixed in the above commit. Will be part of the forthcoming 0.4.2 release

Reply to this email directly or view it on GitHub:
https://github.com/wesm/pandas/issues/182#issuecomment-2258447

dan-nadler pushed a commit to dan-nadler/pandas that referenced this issue Sep 23, 2019
@bmoscon
Chunkstore performance enhancements (pandas-dev#182)
7624809 
- new serializer for ChunkStore
- supports by column serialization
- Significantly faster than the record serializer for this use case
- Supports DataFrames and Series only
- Changes to chunker that boost performance
- Ability to read subset of columns
- Also fixes pandas-dev#164
@ddenuyl-bebr ddenuyl-bebr mentioned this issue Oct 3, 2024
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