python 三维图直方图_Python | 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.

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。

The following example shows an illustration of the histogram.

以下示例显示了直方图 。

plt.hist(x, 50)
#Histogram with number of bins = 50

plt.hist(x, 25, density=1)
#Histogram with number of bins = 25
#Histogram with density = 1

plt.hist(x, 50, color='y')
#Histogram with number of bins = 50
#Histogram with color = yellow

直方图绘图的Python代码 (Python code for histogram plotting)

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, 50)
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Histogram')
plt.show()

plt.figure()
plt.hist(x, 25, density=1)
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('No. of Bins = 25')
plt.show()

plt.figure()
plt.hist(x, 50, density=1, facecolor='y')
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Color Yellow')
plt.show()

Output:

输出：

Output is as figure

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

python 三维图直方图