visualisation

First Visualisation
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import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize']=8,6 # size of plot
%matplotlib inline # require to write for jupyter notebook ---remove thsi comment line
plt.plot(Salary[0],c='Black',ls='--',marker='s',ms=7,label=Players[0])# s is square,ms is marker size
plt.plot(Salary[1],c='Blue',ls='--',marker='^',ms=7,label=Players[1])
plt.plot(Salary[2],c='Red',ls='--',marker='D',ms=7,label=Players[3])
plt.legend(loc = 'upper left',bbox_to_anchor=(1,0))
plt.xticks(list(range(0,10)),Seasons,rotation='vertical')
plt.show()


Function
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col={'KobeBryant' : 'Black','LeBronJames' : 'Blue','DerrickRose' : 'Pink'}
def myplot(data,pnames):
    for nm in pnames:
        plt.plot(data[Pdict[nm]],c=col[nm],ls='--',marker='s',ms=7,label=nm)
    plt.legend(loc = 'upper left',bbox_to_anchor=(1,1))
    plt.xticks(list(range(0,10)),Seasons,rotation='vertical')
    plt.show()
	
	myplot(Points,["KobeBryant","LeBronJames","DerrickRose"])
	
	
p=['KobeBryant','LeBronJames','DerrickRose']
p

col={'KobeBryant' : 'Black','LeBronJames' : 'Blue','DerrickRose' : 'Pink'}
def myplot(data,pnames = p):  # Default Parameter , we are passing p list as default , we can also pass single value such as 'KobeBryant' --check this
    for nm in pnames:
        plt.plot(data[Pdict[nm]],c=col[nm],ls='--',marker='s',ms=7,label=nm)
    plt.legend(loc = 'upper left',bbox_to_anchor=(1,1))
    plt.xticks(list(range(0,10)),Seasons,rotation='vertical')
    plt.show()