commit-live-students · HardikaB · Apr 15, 2018 · Apr 15, 2018 · Apr 15, 2018 · Apr 15, 2018
diff --git a/q01_zeros_array/build.py b/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
+
+
 
 
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -1,5 +1,12 @@
+# %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((3,4,2))
+    zeros_array_reshaped=zeros_array.reshape((2,3,4))
+    return zeros_array_reshaped
+
+
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,9 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    arr_nd=np.arange(0,27).reshape(3,3,3)
+    return arr_nd
+
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
@@ -1,5 +1,10 @@
+# %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'
+dtype1=np.float64
+# Enter code here
+def read_csv_data_to_ndarray(path=path,dtype1=dtype1):
+    arr_csv=np.genfromtxt(path,dtype=dtype1, skip_header=1, delimiter=',')
+    return arr_csv
 
-# Enter code here
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,9 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
 
-# Enter code here
+# Enter code here
+def read_ipl_data_csv(path='./data/ipl_matches_small.csv', dtype=np.float):
+    ipl_matches_array=np.genfromtxt(path,dtype='|S50', skip_header=1, delimiter=',')
+    return ipl_matches_array
+
diff --git a/q05_read_csv_data/tests/test_q05_read_ipl_data_csv.py b/q05_read_csv_data/tests/test_q05_read_ipl_data_csv.py
@@ -1,4 +1,4 @@
-    import sys, os
+import sys, os
 sys.path.append(os.path.join(os.path.dirname(os.curdir)))
 
 from unittest import TestCase
@@ -12,4 +12,4 @@ def test_read_ipl_data_return_shape(self):
         self.assertTrue(ipl_matches_array.shape == (1451, 23), "The Expected shape does not match the return shape")
 
     def test_read_ipl_data_return_dtype(self):
-        self.assertTrue(ipl_matches_array.dtype == '|S50', "The Expectd dtype does not match the return dtype")
+        self.assertTrue(ipl_matches_array.dtype == '|S50', "The Expectd dtype does not match the return dtype")
diff --git a/q06_get_unique_matches_count/build.py b/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_1=np.genfromtxt(path,dtype='|S50', skip_header=1, delimiter=',')
+    ipl_matches_array_2=np.unique(ipl_matches_array_1[:,0])
+    ipl_matches_array=np.count_nonzero(ipl_matches_array_2)
+    return ipl_matches_array
+
+
diff --git a/q07_get_unique_teams_set/build.py b/q07_get_unique_teams_set/build.py
@@ -1,5 +1,14 @@
+# %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():
+    team_data=read_ipl_data_csv('./data/ipl_matches_small.csv','|S50')
+    team1=np.unique(team_data[:,3])
+    team2=np.unique(team_data[:,4])
+    team_union=np.union1d(team1,team2)
+    return set(team_union)
+
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,13 @@
+# %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():
+    data=np.genfromtxt('data/ipl_matches_small.csv',dtype=np.int,skip_header=1,delimiter=',')
+    total=data[:,17].sum()
+    return total
+