Matrix

MyList = [12, True, 34.5, 23, 55, "34hello"]
MyList[2]
34.5

t=list(range(2,11))
t

l1 = [20, 'a', 21, 'b', 22, 'c', 23, 'd', 24, 'e', 25, 'f']
l1[-1:-12:-2]
['f', 'e', 'd', 'c', 'b', 'a']

l1 = [20, 'a', 21, 'b', 22, 'c', 23, 'd', 24, 'e', 25, 'f']
l1[-11::2]
['a', 'b', 'c', 'd', 'e', 'f']


Create Metrix
------------------
 np.reshape(*,*,'C')
 first parameter : data 
 seconda parameter : row column specification
 third parameter : way of filling data  , C ---row column(opposite to R (column wisse) --default , F ----column wise 
 
	 import numpy as np
	 mydata = np.arrange(0,20)
	 print(mydata)
	 [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19]
	t= np.reshape(mydata,(5,4)) 
	 or we can wrote   np.reshape(mydata,(5,4),order='C') 
	 t[2,2]=10
	 
13-Mar-2016
------------
print(Games[rows,column])   if column is negative then the column value starts from last
print (Games[2]) --> whole second array
print (Games[:,3]) --> whole third  column 
print (Games [:][3]) ----> whole third array


Basket Ball data
Dictinoaries
---------------
Dictionary is referenced to key but it does not have order set of elements 
List have order set of data

dict1 = {'key1' : 'val1','key2' :'val3' ,'key3' : 'val3' }
dict1['key1']
dict1[1]--> error , dictinary uses key to refernce an elements

Games[Pdict['KobeBryant']] finds player and its respective data 	
------------------------------------------------------------------------

Metric Operation 
--------------------
FieldGoals / Games

it will divide the metric in correct way but will giev warning as some data has 0 so 0/0 not correct data
to ignore warning 

import warnings
warnings.filterwarnings('ignore')

rounding the metric data using 
np.matrix.round(FieldGoals / Games,2)