commit-live-students · Sumeshks29 · Apr 24, 2018 · Apr 24, 2018 · Apr 24, 2018 · Apr 24, 2018
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -1,8 +1,15 @@
+# %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
+def array_zeros():
+    zeros_array = np.zeros((3,4,2))
+    return zeros_array
+array_zeros()
 
 # Your solution
 
 
+
+
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -1,5 +1,15 @@
+# %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))
+    print(zeros_array)
+    zeros_array_reshaped =  zeros_array.reshape(2,3,4)
+    return zeros_array_reshaped
+array_reshaped_zeros()
+
+
+
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,17 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    arr=np.zeros((3,3,3))
+    print(arr)
+    print(len(arr))
+    N=1
+    for dim in np.shape(arr): N *= dim
+    print(N)
+    arr2=np.arange(0,N)
+    print(arr2)
+    arr2=arr2.reshape(3,3,3)
+    return arr2
+create_3d_array()
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
@@ -1,5 +1,13 @@
+# %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'
+def read_csv_data_to_ndarray(path, dtype=np.float64):
+    array = np.genfromtxt(path, delimiter=',', dtype=dtype, skip_header=1)
+    print(array)
+    return array
+
+
+    # Enter code here
+
 
-# Enter code here
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,10 @@
+# %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):
+    return np.genfromtxt(path, delimiter=',',skip_header=1,dtype=dtype)
+
+
 
-# Enter code here
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,13 @@
+# %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'
-
+def get_unique_matches_count():
+    ipl_matches_array = read_ipl_data_csv('data/ipl_matches_small.csv', dtype='|S50')
+    return len(set(ipl_matches_array[:,0]))
+get_unique_matches_count()
+
 # Enter Code Here
+
+
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
 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'
+def get_unique_teams_set():
+    ipl_matches_array = read_ipl_data_csv('data/ipl_matches_small.csv', dtype='|S50')
+    team1 = set(ipl_matches_array[:,3])
+    team2 = set(ipl_matches_array[:,4])
+    teams = team1.union(team2)
+    return teams
+get_unique_teams_set()
 # Enter Code Here
+
+
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,14 @@
+# %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():
+    ipl_matches_array = read_ipl_data_csv('data/ipl_matches_small.csv', dtype='int')
+    return sum(ipl_matches_array[:,-6])
+get_total_extras()
+
+