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q01_zeros_array/build.py

@@ -1,8 +1,16 @@
-# 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):
+    zeros_array = np.zeros((3,4,2))
+    return zeros_array
+
+import numpy as np
+
+def array_zeros(*zeros_array):
+    zeros_array = np.zeros((3,4,2))
+    return zeros_array
+
+
+
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,13 @@
+# %load q02_zeros_reshaped/build.py
+# Default imports
 # Default imports
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
-# Write your code
+
+def array_reshaped_zeros():
+    ans = array_zeros()
+    return ans.reshape(2,3,4)
+array_reshaped_zeros()
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,11 @@
-# Default Imports
+
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    array = np.arange(27).reshape(3,3,3)
+    return array
+
+create_3d_array()
+
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,15 @@
-# Default Imports
+
+import csv
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+import matplotlib.pyplot as plt
+
+def read_csv_data_to_ndarray(path, dtype):
+    # transform data into numpy array
+    data = np.genfromtxt(path,dtype, delimiter=',', skip_header=1)
+    return data
+
+
+read_csv_data_to_ndarray('data/ipl_matches_small.csv',float)
+
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,11 @@
-# Default imports
+
 import numpy as np
 
-# Enter code here
+
+def read_ipl_data_csv(path, dtype):
+    # transform data into numpy array
+    data = np.genfromtxt(path,dtype, delimiter=',', skip_header=1)
+    return data
+read_ipl_data_csv('data/ipl_matches_small.csv', '|S50')
+
+

q06_get_unique_matches_count/build.py

@@ -1,5 +1,17 @@
-# 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
+def get_unique_matches_count ():
+    unique_list = [] 
+    mylist = read_ipl_data_csv('data/ipl_matches_small.csv', '|S50')
+    #unique_list =set(x for unique_list in mylist[0] for x in unique_list)
+    unique_list=set(mylist[:, 0])
+    print (unique_list)
+    ipl_matches_array = len(unique_list)
+    return ipl_matches_array
+
+get_unique_matches_count()
+
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,20 @@
-# Default imports
+
+import numpy as np
+import pandas as pd
 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_teams_set():
+    team1 = [] 
+    team2 = []
+    Total_Teams = []
+    mylist = read_ipl_data_csv('data/ipl_matches_small.csv', '|S50')
+    np.set_printoptions(threshold=np.nan)
+    team1=list(mylist[:,3])
+    team2=list(mylist[:,4])
+    Total_Teams = set(team1+team2)
+    print (Total_Teams)
+    return Total_Teams
+get_unique_teams_set()
+
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,17 @@
+# %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():
+    total_extras=0
+    mylist = read_ipl_data_csv(path,int)
+    np.set_printoptions(threshold=np.nan)
+    total_extras=sum(list(mylist[:, 17]))
+    return total_extras
+get_total_extras()
+
+