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q01_zeros_array/build.py

@@ -3,6 +3,8 @@
 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
+
+array_zeros()

q02_zeros_reshaped/build.py

@@ -2,4 +2,8 @@
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
-# Write your code
+def array_reshaped_zeros():
+    zeros_array_reshaped = np.reshape(array_zeros(), (2, 3, 4))
+    return  zeros_array_reshaped
+
+array_reshaped_zeros()

q03_create_3d_array/build.py

@@ -1,4 +1,12 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    c = np.zeros((3, 3, 3))
+    N = c.size
+
+    reshaped = np.arange(N).reshape(3, 3, 3)
+    return reshaped
+
+
+create_3d_array()

q04_read_csv_data_to_ndarray/build.py

@@ -2,4 +2,10 @@
 import numpy as np
 path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+# Enter code here
+def read_csv_data_to_ndarray(path, dtype = np.float64):
+    ipl = np.genfromtxt(path, dtype, skip_header=1, delimiter=",")
+
+    return ipl
+
+read_csv_data_to_ndarray(path)

q05_read_csv_data/build.py

@@ -1,4 +1,12 @@
 # Default imports
 import numpy as np
+path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+# Enter code here
+def read_ipl_data_csv(path, dtype = '|S50'):
+    ipl_matches_array = np.genfromtxt(path, dtype, skip_header=1, delimiter=",")
+
+    return ipl_matches_array
+
+
+read_ipl_data_csv(path)

q06_get_unique_matches_count/build.py

@@ -1,5 +1,11 @@
 # 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():
+    new = read_ipl_data_csv(path, dtype='|S50')
+    ipl_matches_array = len(np.unique(new[:,0]))
+    return ipl_matches_array
+get_unique_matches_count()

q07_get_unique_teams_set/build.py

@@ -1,5 +1,16 @@
 # 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"
+path = 'data/ipl_matches_small.csv'
 
 # Enter Code Here
+def get_unique_teams_set():
+    new = read_ipl_data_csv(path, dtype='|S50')
+    q = np.unique(new[:,3])
+    s = np.unique(new[:,4])
+    team_1 = set(q)
+    team_2 = set(s)
+    unique_matches = team_1 | team_2
+    return unique_matches
+
+get_unique_teams_set()

q08_get_total_extras/build.py

@@ -4,4 +4,11 @@
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+# Enter Code Here
+def get_total_extras():
+    new = read_ipl_data_csv(path, dtype='|S50')
+    no_of_extras = new[:,-6]
+    sum_extras = np.sum(no_of_extras.astype(np.int8))
+    return sum_extras
+
+get_total_extras()