Skip to content

Simplify intro tutorial re: asarray. #15994

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

Closed
wants to merge 1 commit into from
Closed

Simplify intro tutorial re: asarray. #15994

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
12 changes: 4 additions & 8 deletions tutorials/introductory/usage.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,15 +122,11 @@
#
# All of plotting functions expect `numpy.array` or `numpy.ma.masked_array` as
# input. Classes that are 'array-like' such as `pandas` data objects
# and `numpy.matrix` may or may not work as intended. It is best to
# convert these to `numpy.array` objects prior to plotting.
# and `numpy.matrix` may or may not work as intended. It is best to use
# `numpy.asarray` to convert these to `numpy.array` objects prior to plotting::
#
# For example, to convert a `pandas.DataFrame` ::
#
# a = pandas.DataFrame(np.random.rand(4,5), columns = list('abcde'))
# a_asarray = a.values
#
# and to convert a `numpy.matrix` ::
# a = pandas.DataFrame(np.random.rand(4,5), columns=list('abcde'))
# a_asarray = np.asarray(a)
#
# b = np.matrix([[1, 2], [3, 4]])
# b_asarray = np.asarray(b)
Expand Down