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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
+
+
+array_zeros()
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,13 @@
+# %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 = array_zeros()
+    reshaped_array = np.reshape(zeros_array, (2,3,4))
+    return reshaped_array
+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():
+    one_dim_array = np.array(list(range(0,27)))
+    three_dim_array = np.reshape(one_dim_array, (3,3,3))
+    return three_dim_array
+
+create_3d_array()
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,16 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+import pandas as pd
+
+
+
+path = './data/ipl_matches_small.csv'
+
+# Enter code here
+def read_csv_data_to_ndarray(path, dtype = 'Float64'):
+    arr = np.genfromtxt('data/ipl_matches_small.csv', dtype=dtype, skip_header=1, delimiter=',')
+    return arr
+read_csv_data_to_ndarray(path)
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,10 @@
+# %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 = 'Float64'):
+    ipl_matches_array = np.genfromtxt(path, dtype=dtype, skip_header=1, delimiter=',')
+    return ipl_matches_array
+
+

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'
 
 # Enter Code Here
+def get_unique_matches_count():
+    ipl_matches_array = read_ipl_data_csv(path, 'U25')
+    ipl_matches_array = ipl_matches_array[:,0]
+    count = len(np.unique(ipl_matches_array, axis=0))
+    return count
+import numpy as np
+np.set_printoptions(threshold=np.inf)
+get_unique_matches_count()
+
+