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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():
+
 # Your solution
+    zeros_array = np.zeros(shape=(3,4,2))
+    return (zeros_array)
+print (array_zeros)
+
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,17 @@
+# %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():
+    zeros_array = np.zeros(shape=(3,4,2))
+    zeros_array_reshaped = np.reshape(zeros_array,(2,3,4))
+    return zeros_array_reshaped;
+
+print (array_reshaped_zeros())
+
+
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,15 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+# Your solution
+
+def create_3d_array():
+    arr=np.arange(27).reshape(3,3,3)
+    return (arr)
+
+print (create_3d_array())
+
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,19 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+from numpy import genfromtxt
+path = './data/ipl_matches_small.csv'
+
+# Enter code here
+def read_csv_data_to_ndarray(path,dtype):
+    nparray=np.genfromtxt(path,dtype=dtype, delimiter=',', skip_header=1)
+    return nparray
+print (read_csv_data_to_ndarray(path,str))
+
+
+
+
+
+
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,19 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
 
-# Enter code here
+# Enter code here
+
+from numpy import genfromtxt
+path = 'data/ipl_matches_small.csv'
+
+def read_ipl_data_csv(path,dtype = np.float64):
+    ipl_matches_array=  np.genfromtxt(path,dtype='|S50',skip_header = 1 , delimiter = ',')
+    return ipl_matches_array
+
+
+
+
+
+
+

q06_get_unique_matches_count/build.py

@@ -1,5 +1,12 @@
+# %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'
 
 # Enter Code Here
+def get_unique_matches_count():
+    ipl_matches_array = read_ipl_data_csv(path, dtype='|S100')
+    return len(set(ipl_matches_array[:,0]))
+get_unique_matches_count()
+
+

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():
+    teams = []
+    for i in read_ipl_data_csv(path, dtype='|S100'):
+        if not i[3] in teams:
+            teams.append(i[3])
+        if not i[4] in teams:
+            teams.append(i[4])
+    return set(teams)
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,15 @@
+# %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='|S100')[:,17]
+    extras =sum([int(run) for run in data])
+    return extras
+get_total_extras()
+
+