Commit Live PR

q01_zeros_array/build.py

@@ -1,8 +1,16 @@
+# %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 +1,18 @@
+# %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
+import sys, os
+sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
+import numpy as np
+
+def array_reshaped_zeros():
+
+    zeros_array =np.zeros((3,4,2))
+    zeros_array_reshaped=np.reshape(zeros_array,(2,3,4))
+
+    return zeros_array_reshaped
+
+
+

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():
+    a=np.arange(0,27)
+    a=a.reshape(3,3,3)
+    return a
+
+
+
+
+

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"
+import csv
+path = './data/ipl_matches_small.csv'
+
+
+
+def read_csv_data_to_ndarray(path,datatype=np.float64):
+    data = np.genfromtxt(path, dtype=datatype,delimiter=',', skip_header=1)
+    return data
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,12 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+import csv
+path = './data/ipl_matches_small.csv'
+
+def read_ipl_data_csv(path,dtype='float64'):
+    ipl_matches_array=np.genfromtxt(path,dtype=dtype,delimiter=',',skip_header=1)
+    return ipl_matches_array
+read_ipl_data_csv('./data/ipl_matches_small.csv')
+
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,20 @@
+# %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
+import csv
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+def get_unique_matches_count():
+    with open(path,'r') as f:
+        reader=csv.reader(f, delimiter=',')
+        header=next(reader)
+        data=list(reader)
+        arr=np.array(data)
+        ar2=arr[0:,0:1]
+        ar3=np.unique(ar2)
+        ipl_matches_array=np.size(ar3)
+        return ipl_matches_array
+get_unique_matches_count()
+
+

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"
+import numpy as np
+import csv
+path = 'data/ipl_matches_small.csv'
+
+def get_unique_teams_set():
+    with open(path,'r') as f:
+        reader=csv.reader(f, delimiter=',')
+        header=next(reader)
+        data=list(reader)
+        ar1=np.array(data)
+        team1=set(ar1[:,3].astype('|S50'))
+        team2=set(ar1[:,4].astype('|S50'))
+        unio=team1.union(team2)
+        return unio
+
+get_unique_teams_set()
+
 
-# Enter Code Here

q08_get_total_extras/build.py

@@ -1,7 +1,21 @@
+# %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
+import csv
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+def get_total_extras():
+     with open(path,'r') as f:
+        reader=csv.reader(f, delimiter=',')
+        header=next(reader)
+        data=list(reader)
+        arr=np.array(data)
+        extras=np.hstack(arr[0:,17:18])
+        arr=np.array(extras, dtype=np.int32)
+        data=list(arr)
+        return np.sum(data)
+get_total_extras()
+
+