DOC: Update to docstring of DataFrame(dtype) (#14764) #16487
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Merging from master
Merge from pandas-dev
VincentLa
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## master #16487 +/- ##
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Coverage 90.4% 90.4%
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Files 161 161
Lines 51033 51033
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Hits 46136 46136
Misses 4897 4897
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Codecov Report
@@ Coverage Diff @@
## master #16487 +/- ##
==========================================
- Coverage 90.79% 90.75% -0.05%
==========================================
Files 161 161
Lines 51063 51071 +8
==========================================
- Hits 46365 46348 -17
- Misses 4698 4723 +25
Continue to review full report at Codecov.
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| @@ -241,17 +241,52 @@ class DataFrame(NDFrame): | |||
| Column labels to use for resulting frame. Will default to | |||
| np.arange(n) if no column labels are provided | |||
| dtype : dtype, default None | |||
| Data type to force, otherwise infer | |||
| Data type to force. Only a single dtype is allowed. If None, infer | |||
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this is not right. you can pass a dict of dtypes.
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Oh interesting. How? This does not work for me:
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d, dtype={'col1': np.int64, 'col2': np.int64})
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#13375 implemented his for astype
hasn't been implemented for construction
pandas/core/frame.py
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| ... columns=['a', 'b', 'c', 'd', 'e']) | ||
| >>> df2 | ||
| a b c d e |
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these are not lined up, something odd going on.
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I think this is ok? It comes out looking like this when I generated
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can you line up on the decimals.
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sure I'll just change the example to something easier with integers to take up less space anyway.
jorisvandenbossche
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@VincentLa Thanks! |
…as-dev#16487) * Adding some more documentation on dataframe with regards to dtype * Making example for creating dataframe from np matrix easier
…as-dev#16487) * Adding some more documentation on dataframe with regards to dtype * Making example for creating dataframe from np matrix easier
git diff upstream/master --name-only -- '*.py' | flake8 --diff