Python实现可视化CSV文件中的数据

import csv

with open('file.csv') as File:  
    Line_reader = csv.reader(File) 

import matplotlib.pyplot as plt
import csv

x = []
y = []

with open('biostats.csv','r') as csvfile:
	plots = csv.reader(csvfile, delimiter = ',')
	
	for row in plots:
		x.append(row[0])
		y.append(int(row[2]))

plt.bar(x, y, color = 'g', width = 0.72, label = "Age")
plt.xlabel('Names')
plt.ylabel('Ages')
plt.title('Ages of different persons')
plt.legend()
plt.show()

import matplotlib.pyplot as plt
import csv

x = []
y = []

with open('Weatherdata.csv','r') as csvfile:
	lines = csv.reader(csvfile, delimiter=',')
	for row in lines:
		x.append(row[0])
		y.append(int(row[1]))

plt.plot(x, y, color = 'g', linestyle = 'dashed',
		marker = 'o',label = "Weather Data")

plt.xticks(rotation = 25)
plt.xlabel('Dates')
plt.ylabel('Temperature(°C)')
plt.title('Weather Report', fontsize = 20)
plt.grid()
plt.legend()
plt.show()

import matplotlib.pyplot as plt
import csv

Names = []
Values = []

with open('bldprs_measure.csv','r') as csvfile:
	lines = csv.reader(csvfile, delimiter=',')
	for row in lines:
		Names.append(row[0])
		Values.append(int(row[1]))

plt.scatter(Names, Values, color = 'g',s = 100)
plt.xticks(rotation = 25)
plt.xlabel('Names')
plt.ylabel('Values')
plt.title('Patients Blood Pressure Report', fontsize = 20)

plt.show()

import matplotlib.pyplot as plt
import csv

Subjects = []
Scores = []

with open('SubjectMarks.csv', 'r') as csvfile:
	lines = csv.reader(csvfile, delimiter = ',')
	for row in lines:
		Subjects.append(row[0])
		Scores.append(int(row[1]))

plt.pie(Scores,labels = Subjects,autopct = '%.2f%%')
plt.title('Marks of a Student', fontsize = 20)
plt.show()