commit-live-students · ms10031990 · Nov 29, 2017 · Nov 29, 2017 · Nov 29, 2017 · Nov 29, 2017
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -3,6 +3,7 @@
 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
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -2,4 +2,9 @@
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
-# Write your code
+old_array = array_zeros()
+
+def array_reshaped_zeros():
+    zeros_array_reshaped = old_array.reshape((2,3,4))
+
+    return  zeros_array_reshaped
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,10 @@
 # Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    initial_array = np.zeros((3,3,3))
+    N = initial_array.size
+    new_array= np.arange(0, N)
+    desired_array = new_array.reshape((3,3,3))
+
+    return desired_array
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
@@ -1,5 +1,10 @@
 # Default Imports
 import numpy as np
 path = "./data/ipl_matches_small.csv"
+dtype = "|S50"
 
-# Enter code here
+def read_csv_data_to_ndarray(path, dtype):
+    with open(path, 'r') as stream:
+        out_array = np.genfromtxt(stream, skip_header=1, delimiter=',', dtype=dtype)
+
+    return out_array
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,9 @@
-# Default imports
 import numpy as np
+from q04_read_csv_data_to_ndarray.build import read_csv_data_to_ndarray
 
-# Enter code here
+path = "./data/ipl_matches_small.csv"
+
+def read_ipl_data_csv(path, dtype = "|S50"):
+
+    ipl_matches_array = read_csv_data_to_ndarray(path, dtype)
+    return ipl_matches_array
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,19 @@
-# 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'
 
-# Enter Code Here
+# Define function get_unique_matches_count and pass the loaded array to read each element
+# and fetch the first element (Match Code). Once all the element[0] are extracted and loaded
+# in new numpy array get_unique_id, execute a unique numpy function to return unique match codes
+# and then get the count using in built size function
+get_unique_id=[]
+def get_unique_matches_count():
+    #Call the function read_ipl_data_csv to load the file into numpy array-2D
+    get_array = read_ipl_data_csv(path, "|S50")
+
+    for element in get_array:
+        get_unique_id.append(element[0])
+
+    Count_val = np.unique(get_unique_id, return_index=False, return_counts=True)[0]
+    Count = np.size(Count_val)
+    return Count
diff --git a/q07_get_unique_teams_set/build.py b/q07_get_unique_teams_set/build.py
@@ -1,5 +1,19 @@
-# 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"
 
-# Enter Code Here
+# In the newly defined function get_unique_teams_set firstly
+# Call the read_ipl_data_csv function to load the data into numpy array
+# Using for loop create two sets of numpy array for team1 and team2
+# Form a Union of above two set to give the final unique set "variable"
+
+set_team1=[]
+set_team2=[]
+
+def get_unique_teams_set():
+        array_fl = read_ipl_data_csv(path,"|S50")
+        for element in array_fl:
+            set_team1.append(element[3])
+            set_team2.append(element[4])
+        variable = set(set_team1) | set(set_team2)
+        return variable
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -4,4 +4,15 @@
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+#Using the newly defined function get_total_extras
+# Load the data into array using the existing module read_ipl_data_csv
+# Using for loop add the extra into sum and return the same (Loop through since we need to calculate for whole match)
+# Since element[17] is an Int (Append/Sum) functionality was throwing error
+# Also note element[17] will be an Str so need to convert into Integer before performing the summation.
+
+def get_total_extras():
+    Sum=0
+    array_f2 = read_ipl_data_csv(path, "|S50")
+    for element in array_f2:
+        Sum += int(element[17])
+    return Sum