def test_masked_constants_example():
# example from: https://gist.github.com/tschaume/d123d56bf586276adb98
data = {
"esN": [0, 1, 2, 3],
"ewe_is0":
[-398.11901997, -398.11902774, -398.11897111, -398.11882215],
"ewe_is1": [-398.11793027, -398.11792966, -398.11786308, None],
"ewe_is2": [-398.11397008, -398.11396421, None, None],
}
df = pd.DataFrame.from_dict(data)
plotopts = {"x": "esN"}
fig, ax = plt.subplots(1, 1)
df.plot(ax=ax, **plotopts)
renderer = PlotlyRenderer()
Exporter(renderer).run(fig)
_json.dumps(renderer.plotly_fig, cls=utils.PlotlyJSONEncoder)
jy = _json.dumps(renderer.plotly_fig["data"][1]["y"],
cls=utils.PlotlyJSONEncoder)
print(jy)
array = _json.loads(jy)
assert array == [-398.11793027, -398.11792966, -398.11786308, None]
def test_masked_constants_example():
# example from: https://gist.github.com/tschaume/d123d56bf586276adb98
data = {
'esN': [0, 1, 2, 3],
'ewe_is0':
[-398.11901997, -398.11902774, -398.11897111, -398.11882215],
'ewe_is1': [-398.11793027, -398.11792966, -398.11786308, None],
'ewe_is2': [-398.11397008, -398.11396421, None, None]
}
df = pd.DataFrame.from_dict(data)
plotopts = {'x': 'esN', 'marker': 'o'}
fig, ax = plt.subplots(1, 1)
df.plot(ax=ax, **plotopts)
renderer = PlotlyRenderer()
Exporter(renderer).run(fig)
json.dumps(renderer.plotly_fig, cls=utils.PlotlyJSONEncoder)
jy = json.dumps(renderer.plotly_fig['data'][1]['y'],
cls=utils.PlotlyJSONEncoder)
print(jy)
array = json.loads(jy)
assert (array == [-398.11793027, -398.11792966, -398.11786308, None])
def run_fig(fig):
renderer = PlotlyRenderer()
exporter = Exporter(renderer)
print(exporter)
exporter.run(fig)
return renderer
def run_fig(fig):
renderer = PlotlyRenderer()
exporter = Exporter(renderer)
exporter.run(fig)
return renderer