用散点图叠加直方图列(Overlay columns of histograms with scatter plots)

 我正在尝试将数据集可视化，并且我很早就陷入了困境，因为我不理解matplotlib的逻辑。 
 
 数据保存在两个格式相同的2d表中： 
 
>>> data1
array([[  1.        ,   1.384     ],
       [  2.        ,   3.65218531],
       [  3.        ,   3.17718531],
       [  1.        ,   2.34513543],
       [  2.        ,   3.43223443],
       [  3.        ,   1.23333255],
        ...
>>> data2
        ...
 
 我想在同一个图中可视化这些表格。 data1表比data2有更多的行，所以我的想法是用列式直方图显示data1 ，用这样的点显示data2 ： 
 
 我知道如何制作数据的一维直方图，并且我知道如何制作散点图，但是如何获得彩色分区并用正确位置的散点图覆盖它们？ 
 
 编辑：示例代码： 
 
import pylab
import numpy
import matplotlib.pyplot as plt

fig = plt.figure()
data1 = numpy.array([[1,1.5],[2,1.7],[3,1.8],[1,1.2],[2,1.8],[3,2.2]])
data2 = numpy.array([[1,2.1],[2,1.3],[3,1.4],[1,1.1],[2,1.9],[3,2.25]])

plt.scatter(data1[:,0], data1[:,1])
plt.scatter(data2[:,0], data2[:,1], color="red")
plt.show()
 
 在实际代码中， data1数组包含许多条目，使其变得混乱。 因此希望'直方图'。 

I'm trying to visualize a data set and I'm stuck pretty early in the process because I don't understand the logic of matplotlib. 
 
The data is kept in two 2d tables of the same format:
 
>>> data1
array([[  1.        ,   1.384     ],
       [  2.        ,   3.65218531],
       [  3.        ,   3.17718531],
       [  1.        ,   2.34513543],
       [  2.        ,   3.43223443],
       [  3.        ,   1.23333255],
        ...
>>> data2
        ...
 
I want to visualize these tables in the same plot. The data1 table has many more rows than data2, so my idea is to display data1 with column-wise histograms and data2 with points like this: 
 
I know how to make 1D histograms of data, and I know how to make scatterplots, but how do I get colored bins and overlay them with the scatterplots in the right positions?
 
Edit: Example code:
 
import pylab
import numpy
import matplotlib.pyplot as plt

fig = plt.figure()
data1 = numpy.array([[1,1.5],[2,1.7],[3,1.8],[1,1.2],[2,1.8],[3,2.2]])
data2 = numpy.array([[1,2.1],[2,1.3],[3,1.4],[1,1.1],[2,1.9],[3,2.25]])

plt.scatter(data1[:,0], data1[:,1])
plt.scatter(data2[:,0], data2[:,1], color="red")
plt.show()
 
In the real code the data1 array contains so many entries that it becomes a mess. Hence the wish for a 'histogram'.

原文：https://stackoverflow.com/questions/20621190