Skip to content

DOC: Clarify DataFrame column argument in API documentation #40658

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

Merged
merged 4 commits into from
Apr 1, 2021
Merged

DOC: Clarify DataFrame column argument in API documentation #40658

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
101c10c
DOC: #39904: Clarify DataFrame column argument in API documentation.
DriesSchaumont Mar 27, 2021
da2a451
Merge remote-tracking branch 'upstream/master' into fix-39904
DriesSchaumont Mar 29, 2021
7beb6f3
#39904: adjustments for review
DriesSchaumont Mar 29, 2021
1f7c2f5
#39904: Add description to docstring example.
DriesSchaumont Mar 29, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 15 additions & 2 deletions pandas/core/frame.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -472,8 +472,9 @@ class DataFrame(NDFrame, OpsMixin):
Index to use for resulting frame. Will default to RangeIndex if
no indexing information part of input data and no index provided.
columns : Index or array-like
Column labels to use for resulting frame. Will default to
RangeIndex (0, 1, 2, ..., n) if no column labels are provided.
Column labels to use for resulting frame when data does not have them,
defaulting to RangeIndex(0, 1, 2, ..., n). If data contains column labels,
will perform column selection instead.
dtype : dtype, default None
Data type to force. Only a single dtype is allowed. If None, infer.
copy : bool, default False
Expand Down Expand Up @@ -523,6 +524,18 @@ class DataFrame(NDFrame, OpsMixin):
1 4 5 6
2 7 8 9

Constructing DataFrame from a numpy ndarray that has labeled columns:

>>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
... dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
>>> df3 = pd.DataFrame(data, columns=['c', 'a'])
...
>>> df3
c a
0 3 1
1 6 4
2 9 7

Constructing DataFrame from dataclass:

>>> from dataclasses import make_dataclass
Expand Down