Skip to content

adding keyword plotting #8566

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 3 commits into from
May 5, 2017
Merged

adding keyword plotting #8566

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
596ceec
adding keyword plotting
choldgraf May 4, 2017
c3f5715
adding intersphinx
choldgraf May 5, 2017
b7e31f3
curly brackets dict
choldgraf May 5, 2017
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
Prev Previous commit
curly brackets dict
  • Loading branch information
@choldgraf
choldgraf committed May 5, 2017
commit b7e31f34d558de94d9f61a2c2ff056fa9b68b37f
2 changes: 1 addition & 1 deletion doc/conf.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ def _check_deps():
'python': ('https://docs.python.org/', None),
'numpy': ('https://docs.scipy.org/doc/numpy/', None),
'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),
'pandas': ('https://pandas.pydata.org/pandas-docs/stable', None)
'pandas': ('http://pandas.pydata.org/pandas-docs/stable', None)
}


Expand Down
14 changes: 7 additions & 7 deletions examples/misc/keyword_plotting.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,22 +7,22 @@
access particular variables with strings. For example, with
:class:`numpy.recarray` or :class:`pandas.DataFrame`.

Matplotlib allows you provide such an object with
the ``data`` keyword argument. If provided, then you may generate plots with
the strings corresponding to these variables.
Matplotlib allows you provide such an object with the ``data`` keyword
argument. If provided, then you may generate plots with the strings
corresponding to these variables.
"""

import numpy as np
import matplotlib.pyplot as plt
np.random.seed(19680801)

data = dict([('a', np.arange(50)),
('c', np.random.randint(0, 50, 50)),
('d', np.random.randn(50))])
data = {'a': np.arange(50),
'c': np.random.randint(0, 50, 50),
'd': np.random.randn(50)}
data['b'] = data['a'] + 10 * np.random.randn(50)
data['d'] = np.abs(data['d']) * 100
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Hmm, as much as it's more work in some ways, I feel like an example with a clear structure, so something like:

data = { 'a' : [1,2,3,4,5,5,6,7],
              'b' :[4,5, 6,2,3, 4, 5],
              'c': [3,1,2,3,4,5,6,3],
              'd':[1,2,3,4,5,6,7,8]}

might work better since the point of this is to really clearly see what the kwarg does.


fig, ax = plt.subplots()
ax.scatter('a', 'b', c='c', s='d', data=data)
ax.set(xlabel='a', ylabel='b')
ax.set(xlabel='entry a', ylabel='entry b')
plt.show()
12 changes: 6 additions & 6 deletions tutorials/01_introductory/pyplot.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -107,15 +107,15 @@
# the ``data`` keyword argument. If provided, then you may generate plots with
# the strings corresponding to these variables.

data = dict([('a', np.arange(50)),
('c', np.random.randint(0, 50, 50)),
('d', np.random.randn(50))])
data = {'a': np.arange(50),
'c': np.random.randint(0, 50, 50),
'd': np.random.randn(50)}
data['b'] = data['a'] + 10 * np.random.randn(50)
data['d'] = np.abs(data['d']) * 100

plt.plot('a', 'b', color='c', data=data)
plt.xlabel('a')
plt.ylabel('b')
plt.scatter('a', 'b', c='c', s='d', data=data)
plt.xlabel('entry a')
plt.ylabel('entry b')
plt.show()

###############################################################################
Expand Down