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q01_zeros_array/build.py

@@ -4,5 +4,8 @@
 import numpy as np
 
 # Your solution
+def array_zeros():
+    zeros_array = np.zeros(shape =(3,4,2))
+    return zeros_array
 
-
+#print array_zeros()

q02_zeros_reshaped/build.py

@@ -3,3 +3,10 @@
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
 # Write your code
+def array_reshaped_zeros():
+    az = array_zeros()
+    ay = np.reshape(az,newshape=(2,3,4))
+    #print ay
+    #print(type(ay))
+    return ay
+#print array_reshaped_zeros()

q03_create_3d_array/build.py

@@ -1,4 +1,9 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    N = 27
+    arr = np.arange(0,N).reshape(3,3,3)
+    return arr
+#print create_3d_array()  

q04_read_csv_data_to_ndarray/build.py

@@ -2,4 +2,8 @@
 import numpy as np
 path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+# Enter code here
+def read_csv_data_to_ndarray(path,dtype=np.float64):
+    narr = np.genfromtxt(path, delimiter=",", dtype = dtype,  skip_header=1)
+    return narr
+#print read_csv_data_to_ndarray(path)

q05_read_csv_data/build.py

@@ -1,4 +1,9 @@
 # Default imports
 import numpy as np
 
-# Enter code here
+# 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, delimiter=",",  skip_header=1)
+    return ipl_matches_array
+#print read_ipl_data_csv(path)

q06_get_unique_matches_count/build.py

@@ -1,5 +1,10 @@
 # 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'
-
+ipl_matches_array = {}
 # Enter Code Here
+def get_unique_matches_count():
+    ipl_matches_array = len(read_ipl_data_csv(path,dtype='|S50')[0,0])
+    return ipl_matches_array
+print get_unique_matches_count()

q07_get_unique_teams_set/build.py

@@ -1,5 +1,13 @@
 # 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():
+    ipl_matches_array = np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
+    team1 = np.unique(ipl_matches_array[:,3])
+    team2 = np.unique(ipl_matches_array[:,4])
+    result = set(np.union1d(team1,team2))
+
+    return result
+#print get_unique_teams_set()

q08_get_total_extras/build.py

@@ -1,7 +1,12 @@
 # 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 = np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
+    extra_runs_array = ipl_matches_array[0:,17].astype(np.int16)
+    sum_of_runs = extra_runs_array.sum()
+    return sum_of_runs
+print get_total_extras()