status | |
---|---|
0 | 200 |
1 | 200 |
2 | 200 |
3 | 200 |
4 | 200 |
... | ... |
414398 | 200 |
414399 | 200 |
414400 | 200 |
414401 | 200 |
414402 | 200 |
414403 rows × 1 columns
status_codes (status_list, height=600, width=None, template='none', title='Status Codes', subtitle=None)
Create a treemap to visualize a list of status codes.
Type | Default | Details | |
---|---|---|---|
status_list | list, tuple, pandas.Series | A collection of HTTP status codes | |
height | int | 600 | |
width | NoneType | None | |
template | str | none | Name of template to use for the chart. Available themes: ggplot2, seaborn, simple_white, plotly, plotly_white, plotly_dark, presentation, xgridoff, ygridoff, gridon, none |
title | str | Status Codes | The title of the figure. You can use/include the following HTML tags in the title: <a> , <b> , <br> , <i> , <sub> , <sup> |
subtitle | NoneType | None | The subtitle of the figure, by default 70% of the font size of the title |
Returns | plotly.graph_objects.Figure |
status | |
---|---|
0 | 200 |
1 | 200 |
2 | 200 |
3 | 200 |
4 | 200 |
... | ... |
414398 | 200 |
414399 | 200 |
414400 | 200 |
414401 | 200 |
414402 | 200 |
414403 rows × 1 columns
template
parameterwidth
and height
<a>
, <b>
, <br>
, <i>
, <sub>
, <sup>
website = "MyWebsite.com"
title = f'Error Codes distribution <b>400</b> and <b>500</b><br>clickable: <i><a href="https://mywebsite.com">{website}</i> – April 3, 2023'
status_codes(
codes.query("status >= 400")["status"],
title=title,
height=700,
width=1300,
template="ggplot2",
)