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q01_zeros_array/build.py

@@ -1,8 +1,20 @@
+# %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(shape=(3,4,2))
+    return zeros_array
+
+
+
+var = array_zeros()
+var
+
+
+
 
 

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
+
+zeros_array = array_zeros() 
+def array_reshaped_zeros():
+    zeros_array_reshaped = zeros_array.reshape((2,3,4))
+    return zeros_array_reshaped
+var = array_reshaped_zeros()
+var.shape
+

q03_create_3d_array/build.py

@@ -1,4 +1,31 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+
+    actual = [
+            [[0, 1, 2],
+             [3, 4, 5],
+             [6, 7, 8]],
+
+            [[9, 10, 11],
+             [12, 13, 14],
+             [15, 16, 17]],
+
+            [[18, 19, 20],
+             [21, 22, 23],
+             [24, 25, 26]]
+        ]
+    var = np.array(actual)        
+#N = var.size
+    N = np.count_nonzero(var)
+    array2 = np.arange(N-1)
+    var.reshape((3,3,3))
+    return var
+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"
+from numpy import genfromtxt
+
+path = './data/ipl_matches_small.csv'
+input_dtype = '|S100'
+# Enter code here
+def read_csv_data_to_ndarray(path,input_dtype):
+    my_data = genfromtxt(path, dtype = input_dtype,delimiter=',',skip_header=1)
+    np.array(my_data)
+    return my_data
+ipl_array = read_csv_data_to_ndarray('data/ipl_matches_small.csv', input_dtype)
+
+ipl_array
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,18 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+from numpy import genfromtxt
+
+# Enter code here
+path = './data/ipl_matches_small.csv'
+input_dtype = '|S50'
+def read_ipl_data_csv(path,dtype):
+    ipl_matches_array = genfromtxt(path, dtype = dtype,delimiter=',',skip_header=1)
+    np.array(ipl_matches_array)
+    return ipl_matches_array
+
+ipl_matches_array = read_ipl_data_csv('data/ipl_matches_small.csv',input_dtype)
+
+ipl_matches_array
+
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,25 @@
+# %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
+from numpy import genfromtxt
+import pandas as pd
 path = 'data/ipl_matches_small.csv'
 
 # Enter Code Here
+
+matches = pd.read_csv('data/ipl_matches_small.csv')
+#genfromtxt(path,delimiter=',',skip_header=1)
+matches.head()
+type(matches)
+temp = matches['match_code'].nunique()
+temp
+def get_unique_matches_count():
+   # data = genfromtxt(path,delimiter=',',skip_header=1)
+   # ipl_matches_array = np.unique(data,return_counts = True)
+    ipl_matches_array = matches['match_code'].nunique()
+    return ipl_matches_array
+get_unique_matches_count()
+
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,16 @@
+# %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 pandas as pd
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
+# Enter Code Here
+matches = pd.read_csv(path)
+matches['extras'].sum()
+def get_total_extras ():
+    extras = matches['extras'].sum()
+    return extras
+get_total_extras()
+