commit-live-students · samir0719 · Oct 5, 2017 · Oct 6, 2017 · Oct 6, 2017 · Oct 6, 2017
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -1,8 +1,12 @@
+# %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))
+    return zeros_array
 
-
+array_zeros()
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
@@ -1,5 +1,13 @@
+# %load q02_zeros_reshaped/build.py
 # Default imports
 import numpy as np
 from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
 
+def array_reshaped_zeros():
+    zero_arrays = array_zeros()
+    zeros_array_reshaped = np.reshape(zero_arrays,(2,3,4))
+
+    return zeros_array_reshaped
+
 # Write your code
+array_reshaped_zeros()
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,13 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
+def create_3d_array():
+    my_list=[]
+    my_list=range(27)
+    arr = np.array(my_list)
+    rarr = np.reshape(arr,(3, 3, 3))
+    return rarr
 
-# Enter solution here
+create_3d_array()
+
+# Enter solution here
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
@@ -1,5 +1,10 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
 path = "./data/ipl_matches_small.csv"
 
-# Enter code here
+def read_csv_data_to_ndarray(path,dtype=np.float64):
+
+    arr = np.genfromtxt(path,dtype=dtype,skip_header=1,delimiter=',')
+
+    return arr
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,9 @@
+# %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=np.float32):
+    ipl_matches_array = np.genfromtxt(path,dtype=dtype,delimiter=',',skip_header=1)
+    return ipl_matches_array.astype('|S50')
+# Enter code here
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,11 @@
+# %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 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():
+
+    ipl_matches_array = np.genfromtxt(path,dtype='|S50',delimiter=',',skip_header=1)
+    count=int(len(np.unique(ipl_matches_array[0:,0])))
+    return count
diff --git a/q07_get_unique_teams_set/build.py b/q07_get_unique_teams_set/build.py
@@ -1,5 +1,13 @@
+# %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"
+def get_unique_teams_set():
+    data = read_ipl_data_csv(path,dtype='|S50')
+    unique_team1 , team1_fre= np.unique(data[:,3],return_counts=True)
+    unique_team2 , team2_fre= np.unique(data[:,4],return_counts=True)
+    unique_teams={member for member in np.append(unique_team2,unique_team1)}
 
-# Enter Code Here
+    return unique_teams
+# Enter Code Here
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,12 @@
+# %load q08_get_total_extras/build.py
 # Default Imports
-from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
+#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
+def get_total_extras():
+    ipl_matches_array = np.genfromtxt(path,dtype='|S50',delimiter=',')
+# Enter Code Here
+#np.unique(ipl_matches_array[1:1451,17])
+    get_total_extras=np.sum(ipl_matches_array[1:1452,17].astype(np.float),dtype = np.int,axis = None)
+    return get_total_extras