如何将颜色条添加到直方图? [英] How to add colorbar to a histogram?

问题描述

我有一个像这样的直方图(就像普通的直方图一样):

I have a histogram like this (just like a normal histogram):

在我的情况下，总是有20条(x轴从0到1跨度)，并且条的颜色是根据x轴上的值定义的.

In my situation, there are 20 bars always (spanning x axis from 0 to 1) and the color of the bar is defined based on the value on the x axis.

我要添加的光谱类似于 http://wiki中的光谱之一.scipy.org/Cookbook/Matplotlib/Show_colormaps 位于直方图的底部，但我不知道如何添加.

What I want is to add a color spectrum like one of those in http://wiki.scipy.org/Cookbook/Matplotlib/Show_colormaps at the bottom of the histogram but I don't know how to add it.

任何帮助将不胜感激！

推荐答案

您需要从某种形式的颜色表中指定面部的颜色，例如，如果要20个bin和一个spectral颜色表，

You need to specify the color of the faces from some form of colormap, for example if you want 20 bins and a spectral colormap,

nbins = 20
colors = plt.cm.spectral(np.linspace(nbins))

然后可以使用它来指定条形的颜色，这可能最容易通过首先获取直方图数据(使用numpy)并绘制条形图来完成.然后，您可以将颜色栏添加到底部的单独轴上.

You can then use this to specify the color of the bars, which is probably easiest to do by getting histogram data first (using numpy) and plotting a bar chart. You can then add the colorbar to a seperate axis at the bottom.

作为一个最小的例子，

import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

nbins = 20
minbin = 0.
maxbin = 1.

data = np.random.normal(size=10000)
bins = np.linspace(minbin,maxbin,20)

cmap = plt.cm.spectral
norm = mpl.colors.Normalize(vmin=data.min(), vmax=data.max())
colors = cmap(bins)

hist, bin_edges = np.histogram(data, bins)

fig = plt.figure()
ax = fig.add_axes([0.05, 0.2, 0.9, 0.7])
ax1 = fig.add_axes([0.05, 0.05, 0.9, 0.1])

cb1 = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,
                                norm=norm,
                                orientation='horizontal')

ax.bar(bin_edges[:-1], hist, width=0.051, color=colors, alpha=0.8)
ax.set_xlim((0., 1.))
plt.show()

哪个产量，

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