在Python中使用NumPy计算一组数据的柱状图

Numpy为我们提供了使用NumPy.histogram()函数计算给定数据集的直方图的功能。直方图的形成取决于数据集，无论它是预定义的还是随机生成的。

语法 : numpy.histogram(data, bins=10, range=None, normed=None, weights=None, density=None)

案例1：在随机数据集的帮助下计算Numpy直方图

# import Numpy and matplotlib
from matplotlib import pyplot as plt
import numpy as np
  
  
# Creating random dataset
data_set = np.random.randint(100, size=(50))
  
# Creation of plot
fig = plt.figure(figsize=(10, 6))
  
# plotting the Histogram with certain intervals
plt.hist(data_set, bins=[0, 10, 20, 30, 40, 50,
                         60, 70, 80, 90, 100])
  
# Giving title to Histogram
plt.title("Random Histogram")
  
# Displaying Histogram
plt.show()

输出:

在Python中使用NumPy计算一组数据的柱状图

在上面的例子中，我们使用np.random.randint()创建了一个随机数据集，并绘制了Numpy Histogram

案例2：借助预设的数据集计算Numpy柱状图

# import Numpy and matplotlib
from matplotlib import pyplot as plt
import numpy as np
  
  
# Using predefined dataset
data_set = [45, 85, 95, 10, 58, 77, 92, 72, 52,
            22, 32, 5, 95, 2, 23, 24, 50, 40, 60,
            69, 44, 80, 21, 15, 17, 55, 21, 88]
  
# Creation of plot
fig = plt.figure(figsize=(10, 5))
  
# plotting the Histogram with certain intervals
plt.hist(data_set, bins=[0, 15, 30, 45, 60, 75, 90, 105])
  
# Giving title to Histogram
plt.title("Predefined Histogram")
  
# Displaying Histogram
plt.show()