.. _pylab_examples-line_collection:

pylab_examples example code: line_collection.py
===============================================



.. plot:: /media/TOSHI/temp/numpy_scipy_matplotlib/matplotlib/matplotlib-1.1.1~rc2/doc/mpl_examples/pylab_examples/line_collection.py

::

    import matplotlib.pyplot as plt
    from matplotlib.collections import LineCollection
    from matplotlib.colors import colorConverter
    
    import numpy as np
    
    # In order to efficiently plot many lines in a single set of axes,
    # Matplotlib has the ability to add the lines all at once. Here is a
    # simple example showing how it is done.
    
    x = np.arange(100)
    # Here are many sets of y to plot vs x
    ys = x[:50, np.newaxis] + x[np.newaxis, :]
    
    segs = np.zeros((50, 100, 2), float)
    segs[:,:,1] = ys
    segs[:,:,0] = x
    
    # Mask some values to test masked array support:
    segs = np.ma.masked_where((segs > 50) & (segs < 60), segs)
    
    # We need to set the plot limits.
    ax = plt.axes()
    ax.set_xlim(x.min(), x.max())
    ax.set_ylim(ys.min(), ys.max())
    
    # colors is sequence of rgba tuples
    # linestyle is a string or dash tuple. Legal string values are
    #          solid|dashed|dashdot|dotted.  The dash tuple is (offset, onoffseq)
    #          where onoffseq is an even length tuple of on and off ink in points.
    #          If linestyle is omitted, 'solid' is used
    # See matplotlib.collections.LineCollection for more information
    line_segments = LineCollection(segs,
                                    linewidths    = (0.5,1,1.5,2),
                                    colors        = [colorConverter.to_rgba(i) \
                                                     for i in ('b','g','r','c','m','y','k')],
                                    linestyle = 'solid')
    ax.add_collection(line_segments)
    ax.set_title('Line collection with masked arrays')
    plt.show()
    
    
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)