2018-04-23 

 1 import matplotlib.pyplot as plt
 2 
 3 x_values=list(range(1,1001))
 4 y_values=[x**2 for x in x_values]
 5 
 6 plt.scatter(x_values,y_values,c=y_values,cmap=plt.cm.Blues,edgecolor=‘none‘,s=40)
 7 # 設置圖表標題，並給坐標軸加上標簽
 8 plt.title("Squares Numbers",fontsize=24)
 9 plt.xlabel("Value",fontsize=14)
 
10 plt.ylabel("Square of Value",fontsize=14)
11 
12 plt.axis([0,1100,0,1100000])
13 
14 plt.show()

 1 import matplotlib.pyplot as plt
 2 
 3 x_values=list(range(1,6))
 4 y_values=[x**3 for x in x_values]
 5 
 6 plt.scatter(x_values,y_values,s=40)
 7 # 設置圖表標題，並給坐標軸加上標簽
 8 plt.title("cube Numbers",fontsize=24)
 
 9 plt.xlabel("Value",fontsize=14)
10 plt.ylabel("cube of Value",fontsize=14)
11 
12 plt.axis([0,6,0,140])
13 
14 plt.show()

import matplotlib.pyplot as plt

x_values=list(range(1,5001))
y_values=[x**3 for x in x_values]

plt.scatter(x_values,y_values,s=40)
# 設置圖表標題，並給坐標軸加上標簽
plt.title("cube Numbers",fontsize=24)
plt.xlabel("Value",fontsize=14)
plt.ylabel("cube of Value",fontsize=14)

plt.axis([0,5001,0,5001**3])

plt.show()

import matplotlib.pyplot as plt

x_values=list(range(1,5001))
y_values=[x**3 for x in x_values]

plt.scatter(x_values,y_values,c=y_values, cmap=plt.cm.Blues,s=40)
# 設置圖表標題，並給坐標軸加上標簽
plt.title("cube Numbers",fontsize=24)
plt.xlabel("Value",fontsize=14)
plt.ylabel("cube of Value",fontsize=14)

plt.axis([0,5001,0,5001**3])

plt.show()

2018-04-23 20:08:44

項目　數據可視化３