python 数据可视化01

一.学习的内容
1.什么是数据可视化
数据可视化主要旨在借助于图形化手段，清晰有效地传达与沟通信息。
2.使用matplotlib绘制简单图表
（1）折线图

import numpy as np
import matplotlib.pyplot as plt
x = np.arange(4,19)
y_max = np.array([32,33,34,34,33,31,30,29,30,29,26,23,21,25,31])
y_min = np.array([19,19,20,22,22,21,22,16,18,18,17,14,15,16,16])
plt.plot(x,y_max)
plt.plot(x,y_min)
plt.title("2020080603043")
plt.show()

（2）柱形图

import numpy as np
import matplotlib.pyplot as plt
x=np.arange(5)
y1= np.array([10,8,7,11,13])
bar_width =0.3
plt.bar(x,y1,tick_label=['a','b','c','d','e'], width=bar_width)
plt.title("2020080603043")
plt.show()

（3）多组柱形图

import numpy as np
import matplotlib.pyplot as plt
x =np.arange(5)
y1= np.array([10,8,7,11,13])
y2= np.array([9,6,5,10,12])
bar_width =0.3
plt.bar(x,y1,tick_label=['a','b','c','d','e'], width=bar_width)
plt.bar(x+bar_width,y2,width=bar_width)
plt.title("2020080603043")
plt.show()

（4）堆积柱形图

import numpy as np
import matplotlib.pyplot as plt
plt.bar(x,y1,tick_label=['a','b','c','d','e'], width=bar_width)
plt.bar(x,y2,bottom =y1, width=bar_width)
plt.title("2020080603043")
plt.show()

(5)条形图

import numpy as np
import matplotlib.pyplot as plt
y = np.arange(5)
x1= np.array([10,8,7,11,13])
bar_height =0.3
plt.barh(y,x1,tick_label=['a','b','c','d','e'],height=bar_height)
plt.title("2020080603043")
plt.show()

（6）堆积条形图

y = np.arange(5)
x1= np.array([10,8,7,11,13])
x2=np.array([9,6,5,10,12])
bar_height =0.3
plt.barh(y,x1,tick_label=['a','b','c','d','e'],height=bar_height)
plt.barh(y+bar_height,x2,height=bar_height)
plt.title("2020080603043")
plt.show()

（7）多组条形图

+
y = np.arange(5)
x1= np.array([10,8,7,11,13])
x2=np.array([9,6,5,10,12])
bar_height =0.3
plt.barh(y,x1,tick_label=['a','b','c','d','e'],height=bar_height)
plt.barh(y+bar_height,x2,height=bar_height)
plt.title("2020080603043")
plt.show()