commit-live-students · swapcy · Apr 16, 2018 · Apr 16, 2018 · Apr 16, 2018 · Apr 16, 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
 
+zeros_array = array_zeros()
 
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -1,5 +1,11 @@
+# %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():
+    a = array_zeros()
+    zeros_array_reshaped = np.reshape(a,(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 +1,11 @@
-# Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    N = 28
+    arr = np.arange(0,N-1)
+    print(type(arr))
+    new_arr = np.reshape(arr,(3,3,3))
+
+    return new_arr
+
+
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'
+# Enter code here
+def read_csv_data_to_ndarray(path,dtype=np.float64):
+    m1 = np.genfromtxt(path,dtype=dtype,skip_header=1,delimiter=',')
+    return m1
+
+
+
+read_csv_data_to_ndarray(path,'|S100')
 
-# Enter code here
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,12 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+# Enter code here
+path = './data/ipl_matches_small.csv'
+def read_ipl_data_csv(path,dtype='|S50'):
+    ipl_matches_array = np.genfromtxt(path,dtype=dtype,skip_header=1,delimiter=',')
+    #print(type(ipl_matches_array))
+    return ipl_matches_array
+
+ipl_matches_array = read_ipl_data_csv(path)
 
-# Enter code here
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():
+    m = np.genfromtxt(path,dtype='|S50',skip_header=1,delimiter=',')
+    match_code = m[0:,0].astype(np.int64)
+    ipl_match_array = len(set(match_code))
+
+    return ipl_match_array
+
+
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"
+path = 'data/ipl_matches_small.csv'
+
+def get_unique_teams_set():
+    m = read_ipl_data_csv(path,'|S50') #Called read_ipl_data function
+    team1 = (m[0:,3]) #extracted data from team 1 col & stored
+    team2 = (m[0:,4]) #extracted data from team 2 col & stored
+
+    #teams = team1 | team2 #union alternative
+    teams = np.union1d(team1,team2) #union of the set
+    return set(teams) #return set
+
 
-# Enter Code Here
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,12 @@
+# %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
-
+# Enter Code Here
 path = 'data/ipl_matches_small.csv'
+def get_total_extras():
+    m = read_ipl_data_csv(path,'|S50')
+    extras = sum(m[0:,17].astype(np.int16))
+
+    return extras
 
-# Enter Code Here