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q01_zeros_array/build.py

@@ -1,8 +1,14 @@
+# %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
+array_zeros()
+#please make sure you save and run the code before test
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,19 @@
+# %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
+def array_zeroes():
+    zeros_array = np.zeros((3,4,2))
+    return zeros_array
+def array_reshaped_zeros():
+    zeros_array_reshaped = np.zeros((2,3,4))
+    return zeros_array_reshaped
+print('Zero arrays with dimension(3,4,2)')
+print(array_zeros())
+print(' ')
+print('Zero arrays after Reshape with dimensions (2,3,4)')
+print(array_reshaped_zeros())
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,12 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    n = 3**3
+    array = np.array(range(n)).reshape((3,3,3))
+    return array
+create_3d_array()
+
+

q06_get_unique_matches_count/build.py

@@ -1,5 +1,14 @@
+# %load q06_get_unique_matches_count/build.py
 # 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 = '|S100')
+    ipl_matches_array = np.unique(ipl_matches_array[1:,1])
+    return len(ipl_matches_array)
+get_unique_matches_count()
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,13 @@
+# %load q07_get_unique_teams_set/build.py
 # 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():
+    array = read_ipl_data_csv(path, dtype = '|S100')
+    return set(np.unique(array[:, 3:5]))
+get_unique_teams_set()
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,15 @@
+# %load q08_get_total_extras/build.py
 # 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
+# Enter Code Here
+def get_total_extras():
+    array = read_ipl_data_csv(path,dtype = '|S50')
+    sum = np.array(array[:,17:18],dtype = int).sum()
+    return sum
+get_total_extras()
+
+