color selection
Color selection can be selected according to the following picture (color can be directly expressed in English: red, blue...)
Both uppercase and lowercase letters are acceptable. Color table link
drawing
Scatterplot
coding=utf-8
import matplotlib.pyplot as plt
#简单散点图（scatte）
years = [2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
peoples = [100, 200, 300, 400, 500, 600, 800, 1025, 1600, 2000, 2600]
#Canvas size setting
plt.figure(figsize=(5, 5), dpi=100)
#years and peoples represent the coordinates of scattered points, c/color represents the color, s represents the area of the scatter point, alpha represents the transparency, linewidths represents the edge line width of the scatter point, edgecolors represents the edge color of the scatter point
plt.scatter(years, peoples,marker='o',color='blue',s=200, alpha=1/5)
plt.show()
plt.scatter(years, peoples,c='blue',s=200, alpha=1/5)
plt.show()
line chart
from pylab import *
mpl.rcParams[ 'font.sans-serif'] = ['SimHei'] #Graphic display in Chinese
#x value, y value, line shape, color, transparency, line width and label (note the point - the "-" in front represents the point Connected with lines, if not, it will be in the form of scattered points)
plt.plot(years, peoples,'-', color='#4169E1', alpha=0.8, linewidth=1, label='the number of people growing in a certain school') #Display the label,
without adding the following sentence, the label will not be displayed
plt.legend(loc="upper right")
plt.xlabel('x-axis label')
plt.ylabel('y-axis label')
plt.show()
pie chart
#糕图
#Data, the label corresponding to the data, the percentage retains two decimal points, and the colors color ( Choose by yourself), explode centrifugal distribution (corresponding to 2013 in the value of peolpes), pctdistance percentage label distance from the center of the circle
plt.pie(peoples,labels=years,autopct='%1.2f%%',explode=(0, 0.2 , 0,0,0,0,0,0,0,0,0), pctdistance=0.8)
plt.show()
bar graph
#bar
graph#bar(x, height, width=0.8, bottom=None , color=None, edgecolor=None,linewidth=None, tick_label=None, xerr=None, yerr=None,label = None, ecolor=None, align, log=False, **kwargs) plt.bar(years,
height =peoples)
plt. show()
