python plotting — Matplotlib 1.3.1 documentation

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across ...

Overview — Matplotlib 1.3.1 documentation

Introduction · Installing · Pyplot tutorial · Interactive navigation · Customizing matplotlib · Using matplotlib in a python shell · Working with text · Image tutorial ...

python plotting — Matplotlib 1.3.1 documentation - omz:software

Pythonista only supports the default 'Agg' backend, which is usually non-interactive, but Pythonista's version includes a custom show method, so that plots can ...

Pyplot tutorial — Matplotlib 1.3.1 documentation - omz:software

matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure.

What's new in matplotlib — Matplotlib 1.3.1 documentation

Brian Mattern modified the manual contour plot label positioning code ... The non-GUI backends, such as PDF, PS and SVG, work on both Python 2.x and 3 ...

Plotting commands summary — Matplotlib 1.3.1 documentation

Plotting commands summary¶. matplotlib.pyplot.plotting()¶. Function, Description. acorr, Plot the autocorrelation of x. annotate, Create an annotation: a piece ...

The Matplotlib Developers' Guide — Matplotlib 1.3.1 documentation

pyplot|; docs ». Previous topic. Environment Variables. Next topic. Coding guide ... 1.3.1. Date: October 10, 2013. Coding guide · Pull request checklist · Style ...

Matplotlib Examples — Matplotlib 1.3.1 documentation

pyplot|; docs ». This Page. Show Source. Quick search. Enter search terms or a module, class or function name. Matplotlib Examples¶. Release: 1.3.1. Date: ...

New in matplotlib 1.3 - Mines Paris

matplotlib 1.3 supports Python 2.6, 2.7, 3.2, and 3.3. New in 1.3.1¶. 1.3.1 ... Brian Mattern modified the manual contour plot label positioning code to ...

Coding guide — Matplotlib 1.3.1 documentation

A large portion of the pyplot interface is automatically generated by the boilerplate.py script (in the root of the source tree). To add or remove a plotting ...

matplotlib 1.3.1 doesn't work with Python quantities package

import matplotlib.pyplot as plt import quantities as pq import numpy ... Just for documentation. This issue seems to be the matplotlib ...

Toolkits — Matplotlib 1.3.1 documentation

mplot3d provides some basic 3D plotting (scatter, surf, line, mesh) tools. Not the fastest or feature complete 3D library out there, but ships with matplotlib ...

Installation Issue with matplotlib Python [duplicate] - Stack Overflow

7/site-packages/matplotlib-1.3.1-py2.7-macosx-10.5-x86_64.egg ... See the Python documentation for more information on installing Python as a ...

Matplotlib - PyPI

Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python ...

mplot3d — Matplotlib 1.3.1 documentation

The mplot3d toolkit adds simple 3D plotting capabilities to matplotlib by supplying an axes object that can create a 2D projection of a 3D scene.

Version mismatch in matplotlib? · Issue #1494 - GitHub

This issue appeared for me in the project "marx.readthedocs.org". The sphinx docs contain a plot directive .. plot:: plots/sketch_coords.py ...

Matplotlib — Python4Astronomers 2.0 documentation

Matplotlib is a Python 2-d and 3-d plotting library which produces publication quality figures in a variety of formats and interactive environments across ...

python plotting — Matplotlib v1.0.1 documentation - Pearltrees

Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across.

Welcome to the Pylustrator Documentation — pylustrator 1.3.0 ...

To use pylustrator, call it directly from a python file and use the command line to execute. Note. In case you import matplotlib.pyplot to the global namespace ...

Legend guide — Matplotlib 1.3.1 documentation

If label attribute is empty string or starts with “_”, those artists will be ignored. Therefore, plots drawn by some pyplot commands are not supported by legend ...