Skip to main content

Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.

Project description

BQPlot

Plotting system for the Jupyter notebook based on the interactive HTML.

Usage

from bqplot import pyplot as plt
import numpy as np

plt.figure(1)
n = 200
x = np.linspace(0.0, 10.0, n)
y = np.cumsum(np.random.randn(n))
plt.plot(x,y, axes_options={'y': {'grid_lines': 'dashed'}})
plt.show()

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bqplot-0.6.0b2.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

bqplot-0.6.0b2-py2.py3-none-any.whl (2.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file bqplot-0.6.0b2.tar.gz.

File metadata

  • Download URL: bqplot-0.6.0b2.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for bqplot-0.6.0b2.tar.gz
Algorithm Hash digest
SHA256 7f7198292f63db3c370d202a15709e041c5f1806383828a4a2ea11429baa95c3
MD5 df85fee7eb30fac776001860090a0f3e
BLAKE2b-256 bdaca670d7687b39367baca715a102993d3ce3b5cb31e828b15faf41aa798843

See more details on using hashes here.

Provenance

File details

Details for the file bqplot-0.6.0b2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for bqplot-0.6.0b2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 eff188ecfeae69a14d4650d80432b0c6762004adbc43012237a166a1a8ae8b96
MD5 c9911555225bb605eb7d02959d802f94
BLAKE2b-256 09929a184cdaa89926078d267bc072e38bd646550bc861d332f6fbdb3e388862

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page