python 三维图直方图_Python | 阶梯直方图

python 三维图直方图

A histogram is a graphical technique or a type of data representation using bars of different heights such that each bar group's numbers into ranges (bins or buckets). Taller the bar higher the data falls in that bin. A Histogram is one of the most used techniques in data visualization and therefore, matplotlib has provided a function matplotlib.pyplot.hist() for plotting histograms. Step histogram is a type of histogram in which Bars are not filled with color, instead only the edge is the representation of Histogram. It is in a form of steps of stairs and therefore it is known as step histogram.

直方图是使用不同高度的条形图的图形技术或一种数据表示形式，以使每个条形图组的数字都位于范围内(箱或桶)。 数据落入该容器的栏越高，该栏越高。 直方图是数据可视化中最常用的技术之一，因此，matplotlib提供了一个函数matplotlib.pyplot.hist()来绘制直方图。 阶梯直方图是直方图的一种类型，其中条形图未填充颜色，而是仅边缘表示直方图。 它采用阶梯的形式，因此称为阶梯直方图。

The following example illustrates the implementation and use of the Step Histogram Plot.

以下示例说明了“阶梯直方图”的实现和使用。

步进直方图的Python代码 (Python code for step histogram plot)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
import matplotlib.pyplot as plt
import numpy as np

# random data generation
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)

# Histogram of the Data
plt.figure()
plt.hist(x, 25, histtype='step')
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Step Histogram')
plt.show()

plt.figure()
plt.hist(x, 15, density=1, histtype='step')
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Step Histogram : No. of Bins = 15')
plt.show()

plt.figure()
plt.hist(x, 10, density=1, edgecolor='purple', linewidth=2.0, histtype='step')
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Step Histogram : Edge Width = 2.0')
plt.show()

Output:

输出：

1
2
Output is as figure

翻译自: https://www.includehelp.com/python/step-histogram-plot.aspx

python 三维图直方图