Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/plotly/Kaleido below:

plotly/Kaleido: Fast static image export for web-based visualization libraries

Kaleido is a cross-platform Python library for generating static images (e.g. png, svg, pdf, etc.) for Plotly.js, to be used by Plotly.py.

Kaleido can be installed from PyPI using pip:

$ pip install kaleido --upgrade

As of version 1.0.0, Kaleido requires Chrome to be installed. If you already have Chrome on your system, Kaleido should find it; otherwise, you can install a compatible Chrome version using the kaleido_get_chrome command:

or function in Python:

import kaleido
kaleido.get_chrome_sync()

Kaleido v1 introduces a new API. If you're currently using v0, you'll need to make changes to your code and environment where you are running Kaleido.

• If using Kaleido v1 with Plotly.py, you will need to install Plotly.py v6.1.1 or later.
• Chrome is no longer included with Kaleido. Kaleido will look for an existing Chrome installation, but also provides commands for installing Chrome. If you don't have Chrome, you'll need to install it. See the installation section above for instructions.
• If your code uses Kaleido directly: kaleido.scopes.plotly has been removed in v1. Kaleido v1 provides write_fig and write_fig_sync for exporting Plotly figures.

from kaleido import write_fig_sync
import plotly.graph_objects as go

fig = go.Figure(data=[go.Scatter(y=[1, 3, 2])])
kaleido.write_fig_sync(fig, path="figure.png")

Below are examples of how to use Kaleido directly in your Python program.

If you want to export images of Plotly charts, it's not necessary to call Kaleido directly; you can use functions in the Plotly library. See the Plotly documentation for instructions.

import kaleido

async with kaleido.Kaleido(n=4, timeout=90) as k:
  # n is number of processes
  await k.write_fig(fig, path="./", opts={"format":"jpg"})

# other `kaleido.Kaleido` arguments:
# page:  Change library version (see PageGenerators below)

# `Kaleido.write_fig()` arguments:
# - fig:       A single plotly figure or an iterable.
# - path:      A directory (names auto-generated based on title)
#              or a single file.
# - opts:      A dictionary with image options:
#              `{"scale":..., "format":..., "width":..., "height":...}`
# - error_log: If you pass a list here, image-generation errors will be appended
#              to the list and generation continues. If left as `None`, the
#              first error will cause failure.

# You can also use Kaleido.write_fig_from_object:
  await k.write_fig_from_object(fig_objects, error_log)
# where `fig_objects` is a dict to be expanded to the fig, path, opts arguments.

There are shortcut functions which can be used to generate images without creating a Kaleido() object:

import asyncio
import kaleido
asyncio.run(
  kaleido.write_fig(
    fig,
    path="./",
    n=4
  )
)

The page argument takes a kaleido.PageGenerator() to customize versions. Normally, kaleido looks for an installed plotly as uses that version. You can pass kaleido.PageGenerator(force_cdn=True) to force use of a CDN version of plotly (the default if plotly is not installed).

my_page = kaleido.PageGenerator(
  plotly="A fully qualified link to plotly (https:// or file://)",
  mathjax=False # no mathjax, or another fully quality link
  others=["a list of other script links to include"]
)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4