Project data visualization 3

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  #Set the title of the chart and add a label to the axis 
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  #settings Chart title and labels for the axes 
8 plt.title( " cube Numbers " ,fontsize=24 )
 9 plt.xlabel( " Value " ,fontsize=14 )
 10 plt.ylabel( " cube of Value " ,fontsize= 14 )
 11  
12plt.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)
# Set the chart title and add labels to the axes
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)
# Set the chart title and add labels to the axes
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