commit-live-students · Mayank211 · Nov 28, 2017 · Nov 28, 2017 · Dec 19, 2017 · Dec 19, 2017
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -1,8 +1,10 @@
-# Default Imports
-import sys, os
-sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
-import numpy as np
-
-# Your solution
-
-
+# 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 +1,17 @@
-# Default imports
+# Default Imports
+import sys, os
+sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
 import numpy as np
-from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
-# Write your code
+# Your solution
+def array_zeros():
+    zeros_array=np.zeros((3,4,2))
+
+    return zeros_array
+
+def array_reshaped_zeros():
+    zeros_array_reshaped = array_zeros().reshape((2,3,4))
+
+    return zeros_array_reshaped
+
+print array_reshaped_zeros()
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,10 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    N=3*3*3
+    array_a = np.array((range(N)))
+    array_a = array_a.reshape((3,3,3))
+    return array_a
+print 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 +1,9 @@
 # Default Imports
 import numpy as np
 path = "./data/ipl_matches_small.csv"
-
-# Enter code here
+import csv
+# Enter code here
+def read_csv_data_to_ndarray(path, dtype=np.float64):
+    file = np.genfromtxt(path, delimiter=',',skip_header=1,dtype=dtype)
+    x=np.array(file)
+    return x
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,10 @@
-# Default imports
-import numpy as np
-
-# Enter code here
+# %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=None):
+    ipl_matches_array=np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
+    return ipl_matches_array
+print read_ipl_data_csv(path,dtype=None)
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,16 @@
-# Default imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
-path = 'data/ipl_matches_small.csv'
-
-# Enter Code Here
+# %load q06_get_unique_matches_count/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
+def get_unique_matches_count():
+    data =read_ipl_data_csv(path,dtype='|S50')
+    Row = data[:len(data),0]
+    Matches=np.unique(Row)
+    ipl_matches_array=len(Matches)
+
+
+    return ipl_matches_array
+print 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 @@
-# Default imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
-path = "data/ipl_matches_small.csv"
-
-# Enter Code Here
+# %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"
+import numpy as np
+
+# Enter Code Here
+def get_unique_teams_set():
+    actual_data = read_ipl_data_csv(path, dtype='|S50')
+    unique_team1 = np.unique(actual_data[:,3:4])
+    unique_team2 = np.unique(actual_data[:,4:5])
+    combined_unique = np.hstack((unique_team1,unique_team2))
+    totally_unique = set(combined_unique)
+    return totally_unique
+
+print get_unique_teams_set()
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,16 @@
+# %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 = read_ipl_data_csv(path,dtype=np.int16)
+    extras=data[:len(data),17:18]
+    sum1 = extras.sum()
+
+
+    return sum1
+print get_total_extras()