Commit Live PR

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
+def array_zeros():
+    zeros_array = np.zeros([3,4,2])
+    return zeros_array
 
 # Your solution
 
 
+
+

q02_zeros_reshaped/build.py

@@ -1,5 +1,12 @@
+# %load q02_zeros_reshaped/build.py
 # Default imports
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
-
+def array_reshaped_zeros():
+    var=array_zeros().reshape((2,3,4))
+    return var
 # Write your code
+
+
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,12 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
+def create_3d_array():
+    N = np.zeros((3, 3, 3)).size
+    numbers = np.arange(0,N)
+    return np.reshape(numbers,(3,3,3))
+# Enter solution here
+
+
+
 
-# Enter solution here

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,14 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+path = './data/ipl_matches_small.csv'
+def read_csv_data_to_ndarray(path=path, input_dtype = np.float64):
+    from numpy import genfromtxt
+    return np.genfromtxt(path, delimiter=',', dtype = input_dtype, skip_header=1)
+# Enter code here
+
+
+
+
+

q05_read_csv_data/build.py

@@ -1,4 +1,12 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+path = './data/ipl_matches_small.csv'
+def read_ipl_data_csv(path, dtype='|S50'):
+    ipl_matches_array = np.genfromtxt(path, delimiter= ',', dtype=dtype, skip_header=1)
+    return ipl_matches_array
+
+read_ipl_data_csv(path)
+# Enter code here
+
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,16 @@
+# %load q06_get_unique_matches_count/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
+def get_unique_matches_count(path=path):
+    data = np.genfromtxt(path, delimiter= ',', skip_header=1)
+    ipl_matches_array = len(set(data[:,0]))
+    return ipl_matches_array
+
+get_unique_matches_count(path)
 
 # Enter Code Here
+
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,16 @@
+# %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'
 
 # Enter Code Here
+def get_unique_teams_set():
+    data= read_ipl_data_csv(path,dtype='|S50')
+    team1 = set(data[:,3])
+    team2 = set(data[:,4])
+    teamUnion = set().union(team1,team2)
+    return teamUnion
+get_unique_teams_set()
+
+
+