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q01_zeros_array/build.py

@@ -1,8 +1,15 @@
+# %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), dtype=float)
+        return zeros_array
+
+
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,19 @@
+# %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((3,4,2), dtype=int)
+    zeros_array_reshaped = zeros_array.reshape(2,3,4)
+    return zeros_array_reshaped
+
+
+array_reshaped_zeros()
+
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,13 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+
+def create_3d_array():
+
+    arr = np.arange(27).reshape(3,3,3)
+    return arr
+
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,15 @@
+# %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, dt=np.float64):
+
+    arr = np.genfromtxt(path, delimiter=',', dtype=dt, skip_header=1)
+
+    return arr
+
+read_csv_data_to_ndarray(path)
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,21 @@
+# %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=np.float64):
+
+    arr = np.genfromtxt(path, delimiter=',', dtype = dtype , skip_header=1)
+    ipl_matches_array = arr[:,:].astype('|S50')
+    print(type(ipl_matches_array))
+    return ipl_matches_array
+
+read_ipl_data_csv(path, dtype=np.float64)
+
+
+
+
+
+

q06_get_unique_matches_count/build.py

@@ -1,5 +1,17 @@
+# %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():
+
+    arr = read_ipl_data_csv(path, '|S100')
+    arr = arr[:,0:1]
+    return np.unique(arr).size
+
+get_unique_matches_count()
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,17 @@
+# %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'
 
 # Enter Code Here
+def get_unique_teams_set():
+
+    ipl_df = read_ipl_data_csv(path,dtype = 'S50')
+    ipl_new = ipl_df[:,[3,4]]
+    ipl_unique = set(np.unique(ipl_new))
+    return ipl_unique
+
+# ipl_df
+
+

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():
+    ipl_df = read_ipl_data_csv(path,dtype = 'S50')
+    ipl_new = ipl_df[:,17].astype(int)
+    ipl_sum = np.sum(ipl_new)
+    return ipl_sum
+
+
+