Sunburst graph open in Firefox but not Chrome (at least in Windows)
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Descripción
I am using the Sunburst graph which shows in the browser with a localhost web server.
When (up-to-date) Chrome is used as the default browser, sometimes the graph loads fine, sometimes it keeps “loading” and doesn’t load, sometimes it finishes “loading” but the page is blank.
It does work every time when I make Firefox the default browser.
But back in Chrome, the behavior seems random and does not depend on the data. If I try the same dataset repeatedly, it sometimes loads, sometimes doesn’t.
I’ve seen others report similar problems but in those threads it seems the problem was the underlying data. This is not so for me since sometimes the data loads fine, but a lot of the times it doesn’t.
Opening Chrome’s developer tools does not show anything that looks like an error.
There is a discussion (and repro confirmation by others) at Plotly community forum.
The code below runs successfully every time when the default browser is Firefox, but only about half the executions when the default browser is Chrome. I am on plotly 5.21.0, Python 3.11.9, Windows 10.
import plotly.graph_objects as go
labels = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100', '101', '102', '103', '104', '105', '106', '107', '108']
parents = ['', '1', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '1', '16', '16', '16', '16', '1', '21', '22', '22', '22', '22', '22', '22', '22', '22', '22', '21', '32', '32', '32', '21', '36', '36', '36', '36', '36', '36', '36', '36', '36', '36', '21', '47', '21', '49', '49', '21', '52', '21', '54', '54', '21', '57', '21', '59', '21', '61', '21', '21', '64', '21', '66', '1', '68', '68', '1', '71', '71', '71', '1', '75', '75', '1', '', '79', '80', '80', '80', '80', '80', '79', '86', '87', '86', '89', '89', '89', '89', '89', '86', '86', '86', '86', '86', '79', '100', '100', '79', '103', '103', '103', '103', '79']
values = [5640.0, 2130.0, 225.0, 15.0, 60.0, 15.0, 235.0, 255.0, 20.0, 60.0, 30.0, 15.0, 1155.0, 30.0, 15.0, 240.0, 120.0, 60.0, 30.0, 30.0, 2925.0, 390.0, 90.0, 15.0, 30.0, 45.0, 60.0, 75.0, 30.0, 15.0, 15.0, 315.0, 30.0, 15.0, 60.0, 1035.0, 15.0, 45.0, 45.0, 60.0, 90.0, 45.0, 45.0, 60.0, 600.0, 30.0, 240.0, 30.0, 300.0, 240.0, 60.0, 45.0, 45.0, 60.0, 30.0, 30.0, 15.0, 15.0, 75.0, 75.0, 195.0, 195.0, 30.0, 15.0, 15.0, 210.0, 210.0, 135.0, 105.0, 30.0, 90.0, 60.0, 15.0, 15.0, 105.0, 75.0, 30.0, 15.0, 1645.0, 345.0, 165.0, 135.0, 15.0, 15.0, 15.0, 1045.0, 175.0, 85.0, 615.0, 90.0, 30.0, 285.0, 15.0, 195.0, 30.0, 90.0, 90.0, 30.0, 15.0, 45.0, 30.0, 15.0, 165.0, 15.0, 30.0, 30.0, 90.0, 45.0]
fig = go.Figure(go.Sunburst(
labels=labels,
parents=parents,
values=values,
branchvalues="total",
textinfo='label+percent parent',
))
fig.update_layout(
margin=dict(t=0, l=0, r=0, b=0),
sunburstcolorway=["#636efa", "#ef553b", "#00cc96"]
)
fig.show()
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza con el ejemplo de Python Sunburst proporcionado y reprodúcelo repetidamente en Chrome y Firefox en Windows. Compara el comportamiento de los navegadores e inspecciona la página local con las Chrome developer tools; se considera terminado cuando el gráfico Sunburst se renderiza de forma fiable en Chrome igual que en Firefox.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- data-visualization
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 35/100