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

Project Description

BQPlot

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

Installation

pip install bqplot
jupyter nbextension enable --py bqplot

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()
Release History

Release History

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0.10.0a2

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0.10.0a1

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0.10.0a0

This version
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0.9.0

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0.9.0b10

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0.9.0b9

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0.9.0b8

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0.9.0b7

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0.9.0b6

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0.9.0b5

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0.9.0b4

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0.9.0b3

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0.9.0b2

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0.9.0b1

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0.6.0b2

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0.6.0b1

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0.5.0

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0.4.1

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0.4.0

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0.3.9

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0.3.8

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0.3.7

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0.3.6

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0.3.5

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0.3.4

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0.3.3

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
bqplot-0.9.0-py2.py3-none-any.whl (2.2 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Mar 24, 2017
bqplot-0.9.0.tar.gz (1.3 MB) Copy SHA256 Checksum SHA256 Source Mar 24, 2017

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