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q01_zeros_array/build.py

@@ -1,8 +1,19 @@
+# %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.max())
+
+    return zeros_array
+
+array_zeros()
+
+
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,24 @@
+# %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))
+
+    #print(zeros_array)
+
+    zeros_array_reshaped = zeros_array.reshape((2,3,4))
+
+    #print(type(zeros_array_reshaped))
+
+    return zeros_array_reshaped
+
+array_reshaped_zeros()
+
+
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,21 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+
+
+    N = 3 * 3 * 3
+
+    arr = np.arange(N)
+
+    arr1 = arr.reshape((3,3,3))
+
+    #print(arr1)
+
+    return arr1
+
+create_3d_array()
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,17 @@
+# %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= np.float64):
+
+    arr_of_small_csv = np.genfromtxt(path,dtype, skip_header =  1, delimiter = ',')
+
+    a = np.set_printoptions(threshold = np.nan)
+
+    return arr_of_small_csv
+
+read_csv_data_to_ndarray(path)
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,19 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
 
-# Enter code here
+# Enter code here
+def read_ipl_data_csv(path, dtype = np.float64):
+
+    ipl_matches_array = np.genfromtxt(path, dtype= '|S50' , skip_header = 1, delimiter = ',')
+
+    np.set_printoptions(threshold= 1)
+
+    return ipl_matches_array
+
+path =  './data/ipl_matches_small.csv'
+read_ipl_data_csv(path)
+
+
+
+

q06_get_unique_matches_count/build.py

@@ -1,5 +1,22 @@
+# %load q06_get_unique_matches_count/build.py
 # 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():
+
+    matches = np.genfromtxt(path, skip_header = 1, delimiter = ',')
+
+    #np.set_printoptions(threshold = np.nan)
+
+    ipl_matches_array = len(set(matches[:,0]))
+
+    return ipl_matches_array
+
+get_unique_matches_count()
+
+
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,22 @@
+# %load q07_get_unique_teams_set/build.py
 # 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"
+path = 'data/ipl_matches_small.csv'
 
 # Enter Code Here
+def get_unique_teams_set():
+
+    #np.set_printoptions(threshold = np.nan)
+    matches = read_ipl_data_csv(path, dtype = '|S50')
+
+    team1 = list(matches[:,3])
+    team2 = list(matches[:,4])
+
+    return set(team2 + team1)
+
+get_unique_teams_set()
+
+
+

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
+# Enter Code Here
+def get_total_extras():
+
+    matches = np.genfromtxt(path, dtype = np.float64,skip_header = 1, delimiter = ',')
+    #matches[]
+
+    #np.set_printoptions(threshold = np.nan)
+    count = 0
+
+    for number in matches[:,17]:
+        count = count + number
+
+    return count
+
+get_total_extras()
+
+
+