commit-live-students · swapnilrt · Oct 8, 2017 · Oct 8, 2017 · Oct 8, 2017 · Oct 8, 2017
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -3,6 +3,6 @@
 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 np.array(zeros_array)
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -2,4 +2,7 @@
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
-# Write your code
+def array_reshaped_zeros():
+    zeros_array_reshaped=array_zeros()
+    zeros_array_reshaped.resize((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 +1,8 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    numbers= list(range(0,27))
+    my_array=np.array(numbers)
+    my_array.resize((3,3,3))
+    return my_array
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
@@ -2,4 +2,6 @@
 import numpy as np
 path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+def read_csv_data_to_ndarray(path,dtype=np.float64):
+    ipl_data=np.genfromtxt(path, delimiter=",",dtype=dtype,skip_header=1)
+    return ipl_data
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,6 @@
 # Default imports
 import numpy as np
 
-# Enter code here
+def read_ipl_data_csv(path,dtype=np.float64):
+    ipl_matches_array=np.genfromtxt(path, delimiter=",",dtype=dtype,skip_header=1)
+    return ipl_matches_array
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,9 @@
-# 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_match_array=read_ipl_data_csv(path,'|S50')
+    test=np.unique(ipl_match_array[:,0])
+    get_unique_matches_count=np.size(np.unique(ipl_match_array[:,0]))
+    return get_unique_matches_count
diff --git a/q07_get_unique_teams_set/build.py b/q07_get_unique_teams_set/build.py
@@ -1,5 +1,16 @@
+# %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"
 
-# Enter Code Here
+def get_unique_teams_set():
+    team_set=set()
+    ipl_match_array=read_ipl_data_csv(path,'|S50')
+    team1=np.unique(ipl_match_array[:,3])
+    team2=ipl_match_array[:,4]
+    for elements in team1:
+        team_set.add(elements)
+    for elements in team2:
+        team_set.add(elements)
+    return team_set
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
+import numpy as np
 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_total_extras():
+    ipl_match_array=read_ipl_data_csv(path,'|S50')
+    total_extras=np.sum(ipl_match_array[:,17].astype(np.int))
+    return total_extras