CoCalc Public Filessupport / 2014-11-19-pylab-svg.sagews
Authors: Harald Schilly, ℏal Snyder, William A. Stein
Description: Jupyter notebook support/2015-06-04-141749-bokeh.ipynb
""" Simple demo of a scatter plot. """ import numpy as np import matplotlib.pyplot as plt N = 50 x = np.random.rand(N) y = np.random.rand(N) colors = np.random.rand(N) area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radiuses plt.scatter(x, y, s=area, c=colors, alpha=0.5) a=plt.show() # now SVG by default
'\nSimple demo of a scatter plot.\n' <matplotlib.collections.PathCollection object at 0x7f3a6c3bcc10>
plt.show?
File: /projects/4a5f0542-5873-4eed-a85c-a18c706e8bcd/.sagemathcloud/sage_salvus.py Signature : plt.show(svg=True) Docstring : Show a Pylab plot in a Sage Worksheet. INPUTS: * svg -- boolean (default: True); if True use an svg; otherwise, use a png.
N = 50 x = np.random.rand(N) y = np.random.rand(N) colors = np.random.rand(N) area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radiuses plt.scatter(x, y, s=area, c=colors, alpha=0.5) a=plt.show(svg=False) # a png
<matplotlib.collections.PathCollection object at 0x7f3a69376650>