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q01_zeros_array/build.py

@@ -4,5 +4,6 @@
 import numpy as np
 
 # Your solution
-
-
+def array_zeros():
+    zeros_array=np.zeros((3,4,2))
+    return zeros_array

q02_zeros_reshaped/build.py

@@ -3,3 +3,7 @@
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
 # Write your code
+def array_reshaped_zeros():
+    zeros_array = array_zeros()
+    zeros_array_reshaped = np.reshape(zeros_array.ravel(),(2,3,4))
+    return zeros_array_reshaped

q03_create_3d_array/build.py

@@ -1,4 +1,9 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    N=3*3*3
+    A =np.arange(N)
+    three_d_array=A.reshape(3,3,3)
+    return three_d_array

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,10 @@
 # Default Imports
 import numpy as np
 path = "./data/ipl_matches_small.csv"
+input_dtype = '|S100'
 
-# Enter code here
+def read_csv_data_to_ndarray(path,dtype):
+    csv = np.genfromtxt(path,delimiter=",",skip_header=1,dtype=dtype)
+    return csv
+
+# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,7 @@
 # Default imports
 import numpy as np
 
-# Enter code here
+# Enter code here
+def read_ipl_data_csv(path, dtype='|S50'):
+    ipl_matches_array = np.genfromtxt(path,delimiter=",",skip_header=1,dtype=dtype)
+    return ipl_matches_array

q06_get_unique_matches_count/build.py

@@ -1,5 +1,10 @@
 # Default imports
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
+import numpy as np
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+def get_unique_matches_count():
+    data=read_ipl_data_csv(path,'|S50')
+    uu = np.unique(data[:,0])
+    ipl_matches_array = np.unique(data[:,0]).size
+    return ipl_matches_array

q07_get_unique_teams_set/build.py

@@ -1,5 +1,11 @@
 # Default imports
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
+import numpy as np
 path = "data/ipl_matches_small.csv"
 
 # Enter Code Here
+def get_unique_teams_set():
+    data=read_ipl_data_csv(path,'|S50')
+    n1 = np.unique(data[:,3])
+    n2 = np.unique(data[:,4])
+    return set(np.union1d(n1,n2))

q08_get_total_extras/build.py

@@ -4,4 +4,7 @@
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+# Enter Code Here
+def get_total_extras():
+    data = read_ipl_data_csv(path,'|S50')
+    return data[:,-6].astype(np.int).sum()