|AHELP for CIAO 4.9 ChIPS v1||
A basic matplotlib/pyplot-like interface to ChIPS
import chips_contrib.pyplot as plt See help(plt) for information on supported commands
This module provides a very basic pyplot interface to ChIPS, and is intended for those users who know the matplotlib pyplot API and want to do some simple plotting in ChIPS. It is not intended to be a faithful emulation of matplotlib, and many routines or capabilities are either partly or not supported. The module is provided as part of the CIAO contributed scripts package.
The module can be loaded into ChIPS, Sherpa or Python scripts by saying:
import chips_contrib.pyplot as plt
Once the module has been loaded use the Python command help(plt) to find out what routines are supported.
Routines from this module and ChIPS can be used together. For example, you can still use the ChIPS GUI to modify the visualizations you have created with commands from this module.
chips> import chips_contrib.pyplot as plt chips> x = np.arange(0, np.pi, 0.01) chips> y = np.exp(-(x-2.3)**2/0.01) chips> yimg = np.repeat(y.reshape(-1,y.size), 200, axis=0) chips> print(yimg.shape) (200, 315) chips> yrnd = np.random.normal(loc=0, scale=0.1, size=yimg.shape) chips> yimg2 = yimg + yrnd chips> plt.subplot(211) chips> plt.imshow(yimg2, origin='lower') chips> plt.subplot(212) chips> plt.plot(yimg2[100,:]) chips> plt.plot(yimg2.mean(axis=0), lw=2)
Here we show an example of plotting an image and then profiles of the image below it. The image is created from a one-dimensional gaussian (the y array) that is replicated on each row to form an image (yimg), and then normally-distributed noise is added to form yimg2. This 2D array is then displayed using routines from this module.
The chips_contrib.pyplot module is new in this release.
This script is not an official part of the CIAO release but is made available as "contributed" software via the CIAO scripts page. Please see this page for installation instructions - such as how to ensure that the parameter file is available.
See the bugs pages on the CIAO website for an up-to-date listing of known bugs.