4 python csv matplotlib python-3.x
我有以下代码,想知道如何在 python 中将其绘制为图表
year,month,sales,expenditure
2018,jan,6226,3808
2018,feb,1521,3373
2018,mar,1842,3965
2018,apr,2051,1098
2018,may,1728,3046
2018,jun,2138,2258
2018,jul,7479,2084
2018,aug,4434,2799
2018,sep,3615,1649
2018,oct,5472,1116
2018,nov,7224,1431
2018,dec,1812,3532
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这是我到目前为止的代码
import matplotlib.pyplot as plt
import csv
x = []
y = []
with open('sales.csv','r') as sales_csv:
plots = csv.reader(sales_csv, delimiter=',')
for row in plots:
x.append(row[1])
y.append(row[3])
plt.plot(x,y, label='Loaded from file!')
plt.xlabel('x')
plt.ylabel('y')
plt.show()
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小智 6
import matplotlib.pyplot as plt
import pandas as pd
%matplotlib inline # jupyter notebook
# Load data
data = pd.read_csv('your_csv_file.csv')
# Plot
plt.figure(figsize=(6.8, 4.2))
x = range(len(data['month']))
plt.plot(x, data['sales'])
plt.xticks(x, data['month'])
plt.xlabel('Month')
plt.ylabel('Sales')
plt.show()
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我希望这能帮到您。