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q01_zeros_array/build.py

@@ -1,8 +1,23 @@
+# %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))
+    print(zeros_array)
+    return zeros_array
+
+
+
+array_zeros() 
+
+
+
+
+
+
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,14 @@
+# %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=zeros_array.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
+# Enter solution here
+def create_3d_array():
+    N=28
+    arr = np.arange(0,(N-1))
+    arr2 = arr.reshape((3,3,3))
+    print(arr2)
+    return arr2
+
+create_3d_array()
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,13 @@
+# %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):
+    my_data = np.genfromtxt(path, delimiter=',',skip_header=1,dtype=dtype)
+    return my_data
+
+read_csv_data_to_ndarray(path,np.float64)
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,14 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+path='./data/ipl_matches_small.csv'
+
+# Enter code here
+def read_ipl_data_csv(path,dtype):
+    ipl_matches_array=np.genfromtxt(path,dtype=dtype,delimiter=',',skip_header=1)
+
+
+    return ipl_matches_array
+
+read_ipl_data_csv(path,'|S50')
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,15 @@
+# %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 pandas as pd
 # Enter Code Here
+def get_unique_matches_count():
+    df=pd.read_csv(path,delimiter=',')
+    counts=df['match_code'].nunique()
+    return counts
+
+
+get_unique_matches_count()
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,30 @@
+# %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'
+import numpy as np
 # Enter Code Here
+def read_ipl_data_csv():
+    data=np.genfromtxt(path,delimiter=',',dtype=None)
+    return data
+
+def get_unique_teams_set():
+    data= read_ipl_data_csv()
+    team11=data[1:,3]
+    team1=np.unique(team11)
+    team22=data[1:,4]
+    team2=np.unique(team22)
+
+    good=np.union1d(team1,team2)
+    list1=good.tolist()
+    set1=set(list1)
+    return set1
+
+
+get_unique_teams_set()    
+
+
+
+
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,18 @@
+# %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
+# Enter Code Here
+def get_total_extras():
+    count=0
+    data=np.genfromtxt(path,delimiter=',')
+    extras=data[1:,17]
+    runs=np.sum(extras,dtype=int)
+    return runs
+
+
+get_total_extras()
+
+