Registry / data / chart-studio

chart-studio

library1.1.0pypypi✓ verified 88d ago

Utilities for interfacing with plotly's Chart Studio service. Deprecated alternative to the Plotly Express / plotly.graph_objects + plotly.io approach. Version 1.1.0 is the final release; package is in maintenance mode.

data http-networking

pip install chart-studio

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · CHART-STUDIO

chart-studio

datapythonv1.1.0

Install

4.6s avg

Import

106ms

Disk

93MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.112s · 92.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 4.6s · import 0.100s · 93MB

93MB installed

● package 93MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

plotly

✓ import plotly

✗ import chart_studio.plotly as py

chart_studio.plotly is the legacy Chart Studio interface; prefer plain plotly for offline charts.

plotly_plotly

✓ from chart_studio import plotly as py

✗ import plotly.plotly as py

plotly.plotly was removed after plotly v2. Use chart_studio.plotly for legacy chart_studio users.

plotly_credentials

✓ from chart_studio import plotly as py py.sign_in(username, api_key)

✗ plotly.tools.set_credentials_file()

Credentials are now managed via chart_studio.

Basic example: set credentials and upload a figure to Chart Studio.

import chart_studio import chart_studio.plotly as py import plotly.graph_objects as go chart_studio.tools.set_credentials_file(username='your_username', api_key='your_api_key') fig = go.Figure(data=go.Bar(y=[2, 3, 1])) py.plot(fig, filename='basic-bar', auto_open=True)

Debug

Known issues

deprecatedchart-studio is in maintenance mode. The primary plotly package now includes Chart Studio upload via plotly.io.write_html() or using Plotly Express with the `url` parameter. Avoid new projects depending on chart-studio.

fix

Use `pip install plotly` and `plotly.io.write_html()` or `plotly.io.to_html()` for offline usage. For Chart Studio uploads, consider the new Plotly Chart Studio API: https://plotly.com/python/chart-studio/

affects: all

breakingchart_studio.plotly.sign_in() requires a valid Chart Studio account and API key. Using invalid credentials leads to HTTP 401 errors.

fix

Set valid credentials via chart_studio.tools.set_credentials_file() before calling any upload function.

affects: all

gotchaImporting from chart_studio.plotly overrides the top-level plotly module's plot function. This can break code that expects the offline plotly.plot() behavior.

fix

Use explicit module references: `import chart_studio.plotly as py` and then `py.plot(fig)` vs `plotly.io.show(fig)`.

affects: all

Errors

Common errors & fixes

AttributeError: module 'plotly' has no attribute 'plotly'

Migrating from old plotly (pre-v3) to newer versions: 'plotly.plotly' was removed. Use chart_studio.plotly for Chart Studio functionality.

fix

Replace `import plotly.plotly as py` with `from chart_studio import plotly as py`.

ImportError: cannot import name 'plotly' from 'chart_studio' (unknown location)

chart_studio package not installed or version mismatch.

fix

Run `pip install chart-studio` to install the package.

HTTPError: 401 Client Error: Unauthorized for url: https://api.plot.ly/v2/...

Credentials are missing, invalid, or expired.

fix

Set credentials: `chart_studio.tools.set_credentials_file(username='your_username', api_key='your_api_key')`. Obtain API key from https://plotly.com/settings/api.

Upgrade

Version history

1.1.0latest on PyPI · released Apr 1, 2020

Audit

Dependencies

No dependency data recorded yet.

Agent activity

10 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

githubhttps://github.com/plotly/plotly.py ↗

packagehttps://pypi.org/project/chart-studio/ ↗

homepagehttps://plot.ly/python/ ↗