Commit Live PR

q01_zeros_array/build.py

@@ -1,8 +1,24 @@
+# %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():
+    zeros_array = np.zeros([3,4,2])
+
+
+
+    return zeros_array  
+
+array_zeros()
+
+
 # Your solution
 
 
+
+
+
+
+

q02_zeros_reshaped/build.py

@@ -1,5 +1,15 @@
+# %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])
+    zeros_array_reshaped =np.zeros([3,4,2]).reshape([2,3,4])
+
+
+    return zeros_array_reshaped
+
+array_reshaped_zeros()
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,14 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    total_elements = 3*3*3
+    array_1d = np.arange(total_elements)
+    return array_1d.reshape(3,3,3)
+
+
+
+
+
+

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'
+def read_csv_data_to_ndarray(path,dtype):
+
+    my_data = np.genfromtxt(path, dtype, skip_header=1, delimiter =',')
+    my_data = np.array(my_data)
+    return my_data 
+read_csv_data_to_ndarray('data/ipl_matches_small.csv','float')
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,16 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+path = 'data/ipl_matches_small.csv'
+def read_ipl_data_csv(path,dtype):
+
+    ipl_matches_array = np.genfromtxt(path, dtype,skip_header=1, delimiter=',')
+    ipl_matches_array = np.array(ipl_matches_array) 
+    return ipl_matches_array
+
+
+
+read_ipl_data_csv('data/ipl_matches_small.csv', '|S50')
+
+
 
-# Enter code here

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'
+import numpy as np
+def get_unique_matches_count():
+    ipl_matches_array = np.genfromtxt(path, delimiter = ',',skip_header=1)
+    matches = []
+    for x in ipl_matches_array:
+        matches.append(x[0])
+
+
+    return len(set(matches))
+get_unique_matches_count()
+
 
-# Enter Code Here

q07_get_unique_teams_set/build.py

@@ -1,5 +1,21 @@
+# %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'
+ipl = read_ipl_data_csv(path,'|S50')
+def get_unique_teams_set():
+    team1=[]
+    team2=[]
+    for x in ipl:
+        team1.append(x[3])
+    for x in ipl:
+        team2.append(x[4])
+    teams= team1 +team2
+    return set(teams)
+
+
+
+
+get_unique_teams_set()
+
 
-# Enter Code Here

q08_get_total_extras/build.py

@@ -1,7 +1,25 @@
+# %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
+
+def get_total_extras():
+    ipl=read_ipl_data_csv(path,dtype=int)
+    extras = [x[17] for x in ipl[:]]
+    return sum(extras)
+
+
+
+
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+