Skip to content

Fixed incorrect colour in ErrorBar when Nan value is presented #16724

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
timhoffm merged 5 commits into from
Mar 22, 2020
Merged

Fixed incorrect colour in ErrorBar when Nan value is presented #16724

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
db133b0
Resolve inconsistent NaN handling behaviour
henryhu123 Mar 10, 2020
8f9ce77
Fix test cases based on feedback
henryhu123 Mar 13, 2020
6d93d10
Improved test cases
henryhu123 Mar 19, 2020
5dc55ee
Refactor masked vertices creation
DennisTismenko Mar 20, 2020
583d175
Refactor hlines and vlines
DennisTismenko Mar 22, 2020
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
Next Next commit
Improved test cases
  • Loading branch information
@henryhu123
henryhu123 committed Mar 19, 2020
commit 6d93d102dc8a59661fba8e55199de86f1de58b9f
65 changes: 15 additions & 50 deletions lib/matplotlib/tests/test_axes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3992,57 +3992,22 @@ def test_hlines():
ax5.set_ylim(0, 15)


def generate_lines_with_colors_inputs():
colors = ['red', 'green', 'blue', 'purple', 'orange']
xy_nan = [1, 2, 3, np.nan, 5]
xy_mask = np.ma.masked_equal([1, 2, 3, 4, 5], 4)
lines_nan = [{'base_xy': xy_nan,
'base_max': np.ones(5),
'base_min': [0],
'linewidth': 5,
'colors': colors}]
lines_mask = [{'base_xy': xy_mask,
'base_max': np.ones(5),
'base_min': [0],
'linewidth': 5,
'colors': colors}]

return [*lines_nan, *lines_mask]


@pytest.mark.parametrize('kwargs', generate_lines_with_colors_inputs())
@pytest.mark.parametrize('data', [[1, 2, 3, np.nan, 5],
np.ma.masked_equal([1, 2, 3, 4, 5], 4)])
@check_figures_equal(extensions=["png"])
def test_vlines_with_colors(fig_test, fig_ref, kwargs):
kwargs['x'] = kwargs.pop('base_xy')
kwargs['ymin'] = kwargs.pop('base_min')
kwargs['ymax'] = kwargs.pop('base_max')
fig_test.subplots().vlines(**kwargs)

expect = {
'x': [1, 2, 3, 5],
'ymin': [0],
'ymax': np.ones(4),
'colors': ['red', 'green', 'blue', 'orange'],
'linewidth': 5}
fig_ref.subplots().vlines(**expect)


@pytest.mark.parametrize('kwargs', generate_lines_with_colors_inputs())
@check_figures_equal(extensions=["png"])
def test_hlines_with_colors(fig_test, fig_ref, kwargs):
kwargs['y'] = kwargs.pop('base_xy')
kwargs['xmin'] = kwargs.pop('base_min')
kwargs['xmax'] = kwargs.pop('base_max')
fig_test.subplots().hlines(**kwargs)

expect = {
'y': [1, 2, 3, 5],
'xmin': [0],
'xmax': np.ones(4),
'colors': ['red', 'green', 'blue', 'orange'],
'linewidth': 5}

fig_ref.subplots().hlines(**expect)
def test_lines_with_colors(fig_test, fig_ref, data):
test_colors = ['red', 'green', 'blue', 'purple', 'orange']
fig_test.add_subplot(2, 1, 1).vlines(data, 0, 1,
colors=test_colors, linewidth=5)
fig_test.add_subplot(2, 1, 2).hlines(data, 0, 1,
colors=test_colors, linewidth=5)

expect_xy = [1, 2, 3, 5]
expect_color = ['red', 'green', 'blue', 'orange']
fig_ref.add_subplot(2, 1, 1).vlines(expect_xy, 0, 1,
colors=expect_color, linewidth=5)
fig_ref.add_subplot(2, 1, 2).hlines(expect_xy, 0, 1,
colors=expect_color, linewidth=5)


@image_comparison(['step_linestyle', 'step_linestyle'], remove_text=True)
Expand Down