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q01_zeros_array/build.py

@@ -1,8 +1,12 @@
+# %load q01_zeros_array/build.py
 # Default Imports
-import sys, os
-sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
+# Your solution
 import numpy as np
+def array_zeros():
+    zeros_array = np.zeros((3,4,2),dtype=float)
+    print(zeros_array)
 
-# Your solution
+    return zeros_array
+array_zeros()
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,14 @@
+# %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_reshaped_zeros():
+    zeros_array = np.zeros((2,3,4),dtype=float)
+    print(zeros_array)
+
+    return zeros_array
+array_reshaped_zeros()
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,16 @@
+# %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*3
+    a = np.arange(0, N)
+    zeros_array = np.reshape(a,(3,3,3))
+    print(zeros_array)
+
+    return zeros_array
+create_3d_array()
+
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,14 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+path = './data/ipl_matches_small.csv'
+
+# Enter code here
+def read_csv_data_to_ndarray(path,dtype=np.float64):
+    path1 = np.genfromtxt(path,dtype=dtype, skip_header = 1,delimiter=',')
+    return path1
+read_csv_data_to_ndarray(path,dtype='|S20')
+
+
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,13 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+path = './data/ipl_matches_small.csv'
+
+# Enter code here
+def read_ipl_data_csv(path,dtype=np.float64):
+    path1 = np.genfromtxt(path,dtype=dtype,skip_header = 1,delimiter=',')
+    print(path1.shape)
+    return path1
+read_ipl_data_csv(path,dtype='|S50')
+
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,15 @@
+# %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 = np.genfromtxt(path,dtype='|S20', skip_header = 1,delimiter=',')
+    matches = len(np.unique(ipl_matches_array [:,0]))
+    return matches
+get_unique_matches_count()
+
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,17 @@
+# %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():
+    ipl_matches_array = np.genfromtxt(path,dtype='|S50', skip_header = 1,delimiter=',')
+    team1 = np.unique(ipl_matches_array [:,3])
+    team2 = np.unique(ipl_matches_array [:,4])
+    teams = np.union1d(team1,team2)
+    teamsset = set(teams)
+    return teamsset
+get_unique_teams_set()
+
+