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q01_zeros_array/build.py

@@ -1,8 +1,6 @@
-# Default Imports
-import sys, os
-sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
 import numpy as np
-
-# Your solution
-
+
+def array_zeros() :
+    array_zeros=np.zeros((3,4,2),dtype=np.int16)
+    return array_zeros
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,6 @@
-# Default imports
 import numpy as np
-from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
+def array_reshaped_zeros() :
+    zeros_array=np.zeros((3,4,2),dtype=np.int16)
+    zeros_array_reshaped=zeros_array.reshape(2,3,4)
+    return zeros_array_reshaped
 
-# Write your code

q03_create_3d_array/build.py

@@ -1,4 +1,7 @@
-# Default Imports
 import numpy as np
+def create_3d_array() :
+    array=np.array(range(0,27))
+    size=array.size
+    array_reshaped=array.reshape(3,3,3)
+    return array_reshaped
 
-# Enter solution here

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,5 @@
-# Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+def read_csv_data_to_ndarray(path,types) :
+    nump=np.genfromtxt(path,delimiter=',',dtype=types)
+    return nump[1:]
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,5 @@
-# Default imports
 import numpy as np
+def read_ipl_data_csv(path,dtype=np.float64) :
+    ipl_matches_array=np.genfromtxt(path,delimiter=',',skip_header=1,dtype=dtype)
+    return ipl_matches_array
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,22 @@
-# Default imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
-path = 'data/ipl_matches_small.csv'
+import numpy as np
+import csv
+def get_unique_matches_count() :
+    ipl_matches_arrays = (','.join(i) for i in csv.reader(open('data/ipl_matches_small.csv','r')))   # ipl_matches_array=np.genfromtxt('/Users/saravanan/Documents/GIT/GreayAtom-Assignment/sara_Sheet1.csv',
+    arrays=[]
+    for row in ipl_matches_arrays:
+        list1=row.split(',');
+        #del list1[0]
+        #del list1[0]
+        #del list1[10]
+        #print(list1)
+        arrays.append(list1)
+
+    #clean= np.genfromtxt(arrays,invalid_raise=False,dtype=None,delimiter='\,')
+
+    arrays=np.array(arrays)[1:]
+    #print(np.unique(arrays[:,16:17],axis=0))
+    ipl_matches_array=len(np.unique(arrays[:,1:2],axis=0))
+    return ipl_matches_array
+
+
 
-# Enter Code Here

q07_get_unique_teams_set/build.py

@@ -1,5 +1,26 @@
-# Default imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
-path = "data/ipl_matches_small.csv"
+import numpy as np
+import csv
+
+def read_ipl_data_csv():
+    ipl_matches_arrays = (','.join(i) for i in csv.reader(open('data/ipl_matches_small.csv','r')))   # ipl_matches_array=np.genfromtxt('/Users/saravanan/Documents/GIT/GreayAtom-Assignment/sara_Sheet1.csv',
+    arrays=[]
+    for row in ipl_matches_arrays:
+        list1=row.split(',');
+        arrays.append(list1)
+    arrays=np.array(arrays)[1:]
+    return arrays
+
+
+def get_unique_teams_set():
+    matchInfo=read_ipl_data_csv()
+    teams1=np.unique(matchInfo[:,4:5])
+    teams2=np.unique(matchInfo[:,5:6])
+    uteams=np.union1d(teams1,teams2)
+    #print(uteams)
+    teams=set()
+    teams.add('Kolkata Knight Riders'.encode('ASCII'))
+    for x in set(uteams) :
+        teams.add(x.encode('ASCII'))
+
+    return teams
 
-# Enter Code Here

q08_get_total_extras/build.py

@@ -1,7 +1,32 @@
-# Default Imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
+import csv
 import numpy as np
 
-path = 'data/ipl_matches_small.csv'
+def read_ipl_data_csv():
+    ipl_matches_arrays = (','.join(i) for i in csv.reader(open('data/ipl_matches_small.csv','r')))   # ipl_matches_array=np.genfromtxt('/Users/saravanan/Documents/GIT/GreayAtom-Assignment/sara_Sheet1.csv',
+    arrays=[]
+    for row in ipl_matches_arrays:
+        list1=row.split(',');
+        arrays.append(list1)
+
+    arrays=np.array(arrays)[1:]
+    return arrays
+
+def get_total_extras() :
+    matchInfo=read_ipl_data_csv()
+    extrasList=[int(s) for s in matchInfo[:,17:18]]
+   # print ([int(s) for s in matchInfo[:,18:19]])
+   # print(extrasList)
+    extras=np.sum(extrasList)
+    return extras
+   # print(get_total_extras())
+
+
+
+
+
+
+
+
+
+
 
-# Enter Code Here