带有行颜色渐变和颜色栏的python matplotlib

问题描述

我一直在解决这个问题，并且很接近我想要的东西，但是又少了一两行.

I've been toying around with this problem and am close to what I want but missing that extra line or two.

基本上，我想绘制一条线，该线的颜色在给定第三个数组的值的情况下会发生变化.潜伏着我发现这很好用(尽管很慢)并且代表了问题

Basically, I'd like to plot a single line whose color changes given the value of a third array. Lurking around I have found this works well (albeit pretty slowly) and represents the problem

import numpy as np
import matplotlib.pyplot as plt
c = np.arange(1,100)
x = np.arange(1,100)
y = np.arange(1,100)

cm = plt.get_cmap('hsv')

fig = plt.figure(figsize=(5,5))
ax1 = plt.subplot(111)

no_points = len(c)
ax1.set_color_cycle([cm(1.*i/(no_points-1))
                     for i in range(no_points-1)])

for i in range(no_points-1):
    bar = ax1.plot(x[i:i+2],y[i:i+2])
plt.show()

哪个给我这个:

我希望能够在此绘图中包含一个颜色栏.到目前为止，我还无法破解.可能会有其他的行包含不同的x，y，但相同的c，因此我一直认为Normalize对象是正确的路径.

I'd like to be able to include a colorbar along with this plot. So far I haven't been able to crack it just yet. Potentially there will be other lines included with different x,y's but the same c, so I was thinking that a Normalize object would be the right path.

更大的图景是该图是2x2子图网格的一部分.我已经使用matplotlib.colorbar.make_axes(ax4)来为颜色条轴对象腾出空间，其中ax4具有第4个子图.

Bigger picture is that this plot is part of a 2x2 sub plot grid. I am already making space for the color bar axes object with matplotlib.colorbar.make_axes(ax4), where ax4 with the 4th subplot.

推荐答案

看看 multicolored_line Matplotlib图库和 dpsanders的色线笔记本:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.collections as mcoll

def multicolored_lines():
    """
    http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb
    http://matplotlib.org/examples/pylab_examples/multicolored_line.html
    """

    x = np.linspace(0, 4. * np.pi, 100)
    y = np.sin(x)
    fig, ax = plt.subplots()
    lc = colorline(x, y, cmap='hsv')
    plt.colorbar(lc)
    plt.xlim(x.min(), x.max())
    plt.ylim(-1.0, 1.0)
    plt.show()

def colorline(
        x, y, z=None, cmap='copper', norm=plt.Normalize(0.0, 1.0),
        linewidth=3, alpha=1.0):
    """
    http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb
    http://matplotlib.org/examples/pylab_examples/multicolored_line.html
    Plot a colored line with coordinates x and y
    Optionally specify colors in the array z
    Optionally specify a colormap, a norm function and a line width
    """

    # Default colors equally spaced on [0,1]:
    if z is None:
        z = np.linspace(0.0, 1.0, len(x))

    # Special case if a single number:
    # to check for numerical input -- this is a hack
    if not hasattr(z, "__iter__"):
        z = np.array([z])

    z = np.asarray(z)

    segments = make_segments(x, y)
    lc = mcoll.LineCollection(segments, array=z, cmap=cmap, norm=norm,
                              linewidth=linewidth, alpha=alpha)

    ax = plt.gca()
    ax.add_collection(lc)

    return lc

def make_segments(x, y):
    """
    Create list of line segments from x and y coordinates, in the correct format
    for LineCollection: an array of the form numlines x (points per line) x 2 (x
    and y) array
    """

    points = np.array([x, y]).T.reshape(-1, 1, 2)
    segments = np.concatenate([points[:-1], points[1:]], axis=1)
    return segments

multicolored_lines()

请注意，多次调用plt.plot会降低性能.使用LineCollection构建多色线段要快得多.

Note that calling plt.plot hundreds of times tends to kill performance.Using a LineCollection to build multi-colored line segments is much much faster.

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