Python visual drawing (1)

Data read

import pandas as pd
filename = r'C:\Users\Administrator\Desktop\data.csv'
data = pd.read_csv(filename)

Graphics commonly used

Add graphic title

plt.title('2017年万科与保利地产市值对比',color = colors1,fontsize = 18)  # 添加图形标题

Add X axis label

plt.xlabel('月份') # 添加X轴标签

Add vertical axis label

plt.ylabel('市值(亿元)') # 添加纵轴标签

Save the graphics as a file for output

plt.savefig('stock1.png',bbox_inches = 'tight',dpi = 300) # 将图形另外保存

Show legend

plt.legend() # 显示图例

Draw a box plot

import seaborn as sns
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']    #定义使其正常显示中文字体黑体
plt.rcParams['axes.unicode_minus'] = False      #用来正常显示表示负号
import pandas as pd
plt.rcParams['font.sans-serif'] = ['SimHei']
fig=sns.catplot(x='质量等级', y='SO2', kind='box',data=data)
print(fig)
plt.title('SO2和质量等级的箱线图')
fig.savefig('p4.png')

Draw a line chart

import pandas as pd
filename = r'C:\Users\Administrator\Desktop\data.csv'
data = pd.read_csv(filename)
data1=data.iloc[:,1]
import matplotlib.pyplot as plt
plt.style.use('ggplot')  # 设置绘图风格
fig = plt.figure(figsize = (10,6))  # 设置图框的大小
ax1 = fig.add_subplot(1,1,1)
data1.plot()

Draw X-axis coordinate line chart with text

##### 调用安装包和数据读取
import numpy as np
import matplotlib.pyplot as plt
import calendar
import pandas as pd
filename = r'C:\Users\Administrator\Desktop\data.csv'
data = pd.read_csv(filename)
##### 数据设置
data0=data.iloc[:,0] ##要添加X轴的文字列
data1=data.iloc[:,1] ## 数值X轴列
data2=data.iloc[:,2] ## 数值Y列
##### 图形显示
plt.plot(data1,data2)  ## 绘制数值X列和数值Y列
plt.xticks(data1, data0[1:77],color='blue',rotation=60)  #参数x空值X轴的间隔，第二个参数控制每个间隔显示的文本，后面两个参数控制标签的颜色和旋转角度
plt.show()  ## 展示图形

Date conversion: Date data is converted to quarters

df['quarter'] = pd.PeriodIndex(df.date, freq='Q') 

Seasonal box plot

import seaborn as sns
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']    #定义使其正常显示中文字体黑体
plt.rcParams['axes.unicode_minus'] = False      #用来正常显示表示负号
import pandas as pd
plt.rcParams['font.sans-serif'] = ['SimHei']
fig=sns.catplot(x='季节', y='SO2', kind='box',data=data)
print(fig)
plt.title('SO2和季节的箱线图')