8000 accelerate plotly JSON encoder for numpy arrays without nans by emmanuelle · Pull Request #2880 · plotly/plotly.py · GitHub
[go: up one dir, main page]
Skip to content

accelerate plotly JSON encoder for numpy arrays without nans #2880

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 10 commits into from
Nov 17, 2020
Merged

accelerate plotly JSON encoder for numpy arrays without nans #2880

Changes from 1 commit
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
fcf2a5b
accelerate plotly JSON encoder for numpy arrays without nans
emmanuelle Nov 6, 2020
0fa810f
limit change to numerical data types
emmanuelle Nov 6, 2020
561edf1
solution that works for 99% of cases but lists with composite types w…
emmanuelle Nov 13, 2020
8392ead
other method: brute force string matching of Infinity or NaN
emmanuelle Nov 13, 2020
627c00f
black
emmanuelle Nov 13, 2020
c8e2922
added test
emmanuelle Nov 15, 2020
224082e
black
emmanuelle Nov 15, 2020
5b18b2d
removed ununsed variable
emmanuelle Nov 16, 2020
e528271
changelog entry
emmanuelle Nov 16, 2020
c46bae0
NaN tested before Infinity
emmanuelle Nov 17, 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
black
  • Loading branch information
@emmanuelle
emmanuelle committed Nov 15, 2020
commit 224082ec8f5d7176a83fbe7b414a0470cd8e1b30
18 changes: 9 additions & 9 deletions packages/python/plotly/plotly/tests/test_core/test_utils/test_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ def test_fast_track_finite_arrays(self):
# without inf or nan is faster (because we can avoid decoding
# and reencoding).
z = np.random.randn(100, 100)
x = np.arange(100.)
x = np.arange(100.0)
fig_1 = go.Figure(go.Heatmap(z=z, x=x))
t1 = time()
json_str_1 = _json.dumps(fig_1, cls=PlotlyJSONEncoder)
Expand All @@ -40,18 +40,18 @@ def test_fast_track_finite_arrays(self):
t3 = time()
json_str_2 = _json.dumps(fig_2, cls=PlotlyJSONEncoder)
t4 = time()
assert(t2 - t1 < t4 - t3)
assert 'null' in json_str_2
assert 'NaN' not in json_str_2
assert 'Infinity' not in json_str_2
x = np.arange(100.)
assert t2 - t1 < t4 - t3
assert "null" in json_str_2
assert "NaN" not in json_str_2
assert "Infinity" not in json_str_2
x = np.arange(100.0)
fig_3 = go.Figure(go.Heatmap(z=z, x=x))
fig_3.update_layout(title_text='Infinity')
fig_3.update_layout(title_text="Infinity")
t5 = time()
json_str_3 = _json.dumps(fig_3, cls=PlotlyJSONEncoder)
t6 = time()
assert(t2 - t1 < t6 - t5)
assert 'Infinity' in json_str_3
assert t2 - t1 < t6 - t5
assert "Infinity" in json_str_3


class TestGetByPath(TestCase):
Expand Down
0