Commit Live PR

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
+def array_zero():
+
+    zeros_array=np.zeros((3,4,2))
+
+    return zeros_array
+array_zero
+def array_zeros():
+    zeros_array=np.zeros((3,4,2))
+    return zeros_array
+def xyc():
+    ba=np.zeros((3,4,2))
+    return ba
+xyc
+
+
 
-# Your solution
 
 

q02_zeros_reshaped/build.py

@@ -1,5 +1,12 @@
+# %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
+
+

q03_create_3d_array/build.py

@@ -1,4 +1,12 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+# Enter solution here
+def create_3d_array():
+    x=np.arange(27)
+    y=x.reshape(3,3,3)
+    return y
+create_3d_array()
+
+

q04_read_csv_data_to_ndarray/build.py

@@ -1,5 +1,31 @@
+# %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
+read_csv_data_to_ndarray('./data/ipl_matches_small.csv')
+import numpy as np
+import csv
+data_path = './data/ipl_matches_small.csv'
+with open(data_path, 'r') as f:
+    reader = csv.reader(f, delimiter=',')
+    # get header from first row
+    headers = next(reader)
+    # get all the rows as a list
+    data = list(reader)
+    # transform data into numpy array
+    data = np.array(data).astype(str)
+type(data)
+import csv
+data_path = './data/ipl_matches_small.csv'
+data = np.genfromtxt(data_path, delimiter=',', skip_header=1,dtype=np.float64)
+data
+type(data)
+
 
-# Enter code here

q05_read_csv_data/build.py

@@ -1,4 +1,16 @@
+# %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
+
+
+
+# Enter code here
+read_ipl_data_csv('./data/ipl_matches_small.csv')
+
 
-# Enter code here

q06_get_unique_matches_count/build.py

@@ -1,5 +1,37 @@
+# %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 numpy as np
+import csv
 # Enter Code Here
+def get_unique_matches_count():
+    with open(path, 'r') as f:
+        reader = csv.reader(f, delimiter=',')
+        headers = 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()
+get_unique_matches_count()
+path = 'data/ipl_matches_small.csv'
+import csv
+with open(path, 'r') as f:
+        reader = csv.reader(f, delimiter=',')
+        headers = next(reader)
+        data = list(reader)
+        arr=np.array(data)
+        ar2=arr[0:,0:1]
+        ar3=np.unique(ar2)
+        type(ar3)
+
+
+
+type(ar3)
+np.size(ar3)
+
+

q07_get_unique_teams_set/build.py

@@ -1,5 +1,37 @@
+# %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
+import csv
 
 # Enter Code Here
+def get_unique_teams_set():
+    with open(path, 'r') as f:
+        reader = csv.reader(f, delimiter=',')
+        headers = 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()
+path = 'data/ipl_matches_small.csv'
+import numpy as np
+import csv
+with open(path, 'r') as f:
+    reader = csv.reader(f, delimiter=',')
+    headers = next(reader)
+    data = list(reader)
+    ar1=np.array(data)
+    team1=set(np.unique(ar1[0:,3:4]))
+    team2=set(np.unique(ar1[0:,4:5]))
+    print(team1)
+    print(team2)
+    print (type((team1.union(team2))))
+
+
+
+

q08_get_total_extras/build.py

@@ -1,7 +1,37 @@
+# %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'
+def get_total_extras():
+
+
+    a = np.genfromtxt(path,dtype=None,delimiter=',',skip_header=1) #readfile
+
+
+    extras = []  #Creating list to store extra runs.
+
+
+    for i,v in enumerate(a): #looping through list
+        extras.append(a[i][17])  #extras column index(17th is the order)
+    return sum(extras)
+get_total_extras()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
 
-# Enter Code Here