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DOC: erroneous initialization of a DataFrame with Series objects #42818 #42960

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Merged
merged 7 commits into from
Sep 8, 2021
Merged

DOC: erroneous initialization of a DataFrame with Series objects #42818 #42960

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a57a02c
BUG: erroneous initialization of a DataFrame with Series objects #42818
Aug 9, 2021
c479fae
Modify: NaN is float object
Aug 10, 2021
a79e05b
Modify: decrease objects
Aug 10, 2021
112c438
Modify: format :
Aug 13, 2021
5e03743
Modify: start index from 0
Aug 16, 2021
84d767d
Modify: grammar error
Aug 25, 2021
8b21497
Modify: singular -> plural
Aug 30, 2021
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13 changes: 12 additions & 1 deletion pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -463,7 +463,8 @@ class DataFrame(NDFrame, OpsMixin):
----------
data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame
Dict can contain Series, arrays, constants, dataclass or list-like objects. If
data is a dict, column order follows insertion-order.
data is a dict, column order follows insertion-order. If a dict contains Series
which have an index defined, it is aligned by its index.

.. versionchanged:: 0.25.0
If data is a list of dicts, column order follows insertion-order.
Expand Down Expand Up @@ -518,6 +519,16 @@ class DataFrame(NDFrame, OpsMixin):
col2 int8
dtype: object

Constructing DataFrame from a dictionary including Series:

>>> d = {'col1': [0, 1, 2, 3], 'col2': pd.Series([2, 3], index=[2, 3])}
>>> pd.DataFrame(data=d, index=[0, 1, 2, 3])
col1 col2
0 0 NaN
1 1 NaN
2 2 2.0
3 3 3.0

Constructing DataFrame from numpy ndarray:

>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
Expand Down