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.
Installation
============
.. code-bock:: bash
pip install bqplot
jupyter nbextension enable --py bqplot
Usage
=====
.. code-block:: python
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()
======
Plotting system for the Jupyter notebook based on the interactive HTML.
Installation
============
.. code-bock:: bash
pip install bqplot
jupyter nbextension enable --py bqplot
Usage
=====
.. code-block:: python
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()
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