脚本宝典收集整理的这篇文章主要介绍了Python 图形绘制详细代码(二),脚本宝典觉得挺不错的,现在分享给大家,也给大家做个参考。
下面介绍条形图的画法。
import matplotlib.pyplot as plt # x-coordinates of left sides of bars left = [1, 2, 3, 4, 5] # heights of bars height = [10, 24, 36, 40, 5] # labels for bars tick_label = ['one', 'two', 'three', 'four', 'five'] # plotting a bar chart plt.bar(left, height, tick_label = tick_label, width = 0.8, color = ['red', 'green']) # naming the x-axis plt.xlabel('x - axis') # naming the y-axis plt.ylabel('y - axis') # plot tITle plt.title('My bar chart!') # function to show the plot plt.show()
plt.bar()
函数来绘制条形图。height
两个参数必须有。tick_labels
为 x 轴坐标指定另外的名称。import matplotlib.pyplot as plt # frequencies ages = [2,5,70,40,30,45,50,45,43,40,44, 60,7,13,57,18,90,77,32,21,20,40] # setting the ranges and no. of intervals range = (0, 100) bins = 10 # plotting a histogram plt.hist(ages, bins, range, color = 'green', histtyPE = 'bar', rwidth = 0.8) # x-axis label plt.xlabel('age') # frequency label plt.ylabel('No. of people') # plot title plt.title('My histogram') # function to show the plot plt.show()
bins = 10
。所以,总共有 100/10 = 10
个区间。import matplotlib.pyplot as plt # x-axis values x = [1,2,3,4,5,6,7,8,9,10] # y-axis values y = [2,4,5,7,6,8,9,11,12,12] # plotting points as a scatter plot plt.scatter(x, y, label= "stars", color= "green", marker= "*", s=30) # x-axis label plt.xlabel('x - axis') # frequency label plt.ylabel('y - axis') # plot title plt.title('My scatter plot!') # showing legend plt.legend() # function to show the plot plt.show()
plt.scatter()
函数绘制散点图。到此这篇关于Python 图形绘制详细代码的文章就介绍到这了,更多相关Python 图形绘制内容请搜索脚本宝典以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本宝典!
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