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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))
+    return zeros_array 
+
+
+
+
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,11 @@
+# %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
+zeros_array = np.zeros((3,4,2))
+def array_reshaped_zeros():
+    zeros_array_reshaped = zeros_array.reshape(2,3,4)
+    return zeros_array_reshaped
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,12 @@
+# %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)
+    N = np.size(arr)
+    return arr 
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,12 @@
+# %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,dtype): 
+    return (np.genfromtxt(path, delimiter=',', dtype=dtype,skip_header=1))
+
+
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,13 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
 
-# Enter code here
+
+# Enter code here
+def read_ipl_data_csv(path,dtype):
+    ipl_matches_array = np.genfromtxt(path,delimiter=',',dtype=dtype,skip_header=1)
+    print(type(ipl_matches_array))
+    return (ipl_matches_array)
+read_ipl_data_csv('data/ipl_matches_small.csv', dtype='|S50')
+
+