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q01_zeros_array/build.py

@@ -1,8 +1,10 @@
+# %load q01_zeros_array/build.py
 # 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():
+    zeros_array=np.zeros((3,4,2))
+    return zeros_array

q02_zeros_reshaped/build.py

@@ -1,5 +1,11 @@
+# %load q02_zeros_reshaped/build.py
 # Default imports
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
 # Write your code
+initial_array = array_zeros()
+
+def array_reshaped_zeros():
+    zeros_array_reshaped = initial_array.reshape(2,3,4)
+    return zeros_array_reshaped

q03_create_3d_array/build.py

@@ -1,4 +1,7 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+
+def create_3d_array():
+    return np.arange(27).reshape(3,3,3)

q04_read_csv_data_to_ndarray/build.py

@@ -2,4 +2,8 @@
 import numpy as np
 path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+# Enter code here
+
+def read_csv_data_to_ndarray(path, input_dtype):
+    iplarray = np.genfromtxt(path,input_dtype, delimiter=',', skip_header = 1)
+    return iplarray

q05_read_csv_data/build.py

@@ -1,4 +1,10 @@
 # Default imports
 import numpy as np
 
-# Enter code here
+# Enter code here
+
+# Enter code here
+
+def read_ipl_data_csv(path,dtype='|S50'):
+    ipl_matches_array=np.genfromtxt(path,dtype='|S50',delimiter=',', skip_header=1)
+    return ipl_matches_array

q06_get_unique_matches_count/build.py

@@ -1,5 +1,13 @@
 # Default imports
+import numpy as np
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
 path = 'data/ipl_matches_small.csv'
 
 # Enter Code Here
+
+def get_unique_matches_count():
+    ipl_matches_array = read_ipl_data_csv(path,dtype='|S50')
+    total_matches = ipl_matches_array[0:,0]
+    unique_count=np.unique(total_matches)
+    matches_count = len(unique_count)
+    return matches_count

q07_get_unique_teams_set/build.py

@@ -1,5 +1,19 @@
 # Default imports
+import numpy as np
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
 path = "data/ipl_matches_small.csv"
 
 # Enter Code Here
+
+def get_unique_teams_set():
+    result = read_ipl_data_csv(path, dtype='|S50')
+    team1 = result[0:,3]
+    team1_final = np.unique(team1)
+    team1_set = set(team1_final)
+
+    team2 = result[0:,4]
+    team2_final = np.unique(team2)
+    team2_set = set(team2_final)
+
+    final_teams = team1_set | team2_set
+    return final_teams

q08_get_total_extras/build.py

@@ -4,4 +4,10 @@
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+# Enter Code Here
+
+def get_total_extras():
+    result = read_ipl_data_csv(path,dtype = '|S50')
+    extras = result[0:,17].astype(int)
+    total_extras = extras.sum(axis=0, dtype = np.int32)
+    return total_extras