bqplot is a plotting system for the Jupyter notebook.

• provide a unified framework for 2d visualizations with a pythonic API.
• provide a sensible API for adding user interactions (panning, zooming, selection, etc)

Two APIs are provided

• Users can build custom visualizations using the internal object model, which is inspired by the constructs of the Grammar of Graphics (figure, marks, axes, scales), and enrich their visualization with our Interaction Layer.
• Or they can use the context-based API similar to Matplotlib's pyplot, which provides sensible default choices for most parameters.

This package depends on the following packages:

• numpy
• ipywidgets (version >=4.0)

1. Installing bqplot:

   $ pip install bqplot
   

   or for a development installation,

   $ git clone https://github.com/bloomberg/bqplot.git
   $ cd bqplot
   $ pip install -e .
   $ bower install
   

2. Next, we need to install the JavaScript code.

   • Linux users:

   $ python -m bqplot.install --symlink --user --force
   

   • Windows users:

   $ python -m bqplot.install --user --force
   

3. Note for developers: the --symlink argument in Linux allows one to modify the JavaScript code in-place. This feature is not available with Windows.

# In a Jupyter notebook
import bqplot

That's it! You're ready to go!

from bqplot import pyplot as plt
import numpy as np

plt.figure(1)
np.random.seed(0)
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()

import numpy as np
from IPython.display import display
import bqplot as bq

size = 20
np.random.seed(0)

x_data = np.arange(size)

x_ord = bq.OrdinalScale()
y_sc = bq.LinearScale()

bar = bq.Bars(x=x_data, y=np.random.randn(2, size), scales={'x': x_ord, 'y': y_sc},
              type='stacked')
line = bq.Lines(x=x_data, y=np.random.randn(size), scales={'x': x_ord, 'y': y_sc},
                stroke_width=3, colors=['red'], display_legend=True, labels=['Line chart'])

ax_x = bq.Axis(scale=x_ord)
ax_y = bq.Axis(scale=y_sc, orientation='vertical', tick_format='0.2f', grid_lines='solid')

fig = bq.Figure(marks=[bar, line], axes=[ax_x, ax_y])
display(fig)

• API reference documentation:

This software is licensed under the Apache 2.0 license. See the LICENSE file for details.