commit-live-students · TheSarang · Jan 30, 2018 · Jan 30, 2018 · Jan 30, 2018 · Jan 30, 2018
diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
@@ -1,8 +1,15 @@
+# %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 +1,12 @@
+# %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 = np.zeros([3,4,2])
+    reshape = zeros.reshape([2,3,4])
+    return (reshape)
+array_reshaped_zeros()
+
+
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
@@ -1,4 +1,11 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
+def create_3d_array():
+    vals = np.arange(0,27)
+    reshapedd = vals.reshape([3,3,3])
+    return reshapedd
+create_3d_array()
+
+
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"
+path = './data/ipl_matches_small.csv'
+
+def read_csv_data_to_ndarray(path, dtype=np.float64):
+    return np.genfromtxt(path, dtype=dtype, delimiter=',', skip_header=1)
+
+read_csv_data_to_ndarray(path)
 
-# Enter code here
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
@@ -1,4 +1,8 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
 
-# Enter code here
+def read_ipl_data_csv(path='./data/ipl_matches_small.csv', dtype='S50'):
+    ipl_matches_array = np.genfromtxt(path, dtype, delimiter=',', skip_header=1)
+    return ipl_matches_array
+
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,15 @@
+# %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():
+    ipl_matches_array = np.genfromtxt(path, dtype=None, delimiter=',', skip_header=1,usecols=(0)) #read csv file
+    ipl_matches_array = np.unique(ipl_matches_array,return_counts=True) #find unique values
+    match_code, counts = ipl_matches_array #saperate unique values and their counts
+    #zipping  = zip(match_code, counts) #zip those together. It is an unnecessary step.
+    zipping = np.array(counts)
+    return zipping.size
+
+
diff --git a/q07_get_unique_teams_set/build.py b/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'
+
+def get_unique_teams_set():
+    ipl_matches_array = np.genfromtxt(path, dtype=None, delimiter=',', skip_header=1,usecols=(3)) #read csv file
+    ipl_matches_array = np.unique(ipl_matches_array,return_counts=True) #find unique values
+    team1 = ipl_matches_array #saperate unique values and their counts
+    set1 = set(team1[0])
+    #print set1
+    #print ''
+    ipl_matches_array = np.genfromtxt(path, dtype=None, delimiter=',', skip_header=1,usecols=(4)) #read csv file
+    ipl_matches_array = np.unique(ipl_matches_array,return_counts=True) #find unique values
+    team2 = ipl_matches_array #saperate unique values and their counts
+    set2 = set(team2[0])
+    #print set2
+
+    setPrime = set1.union(set2)
+    return setPrime
 
-# Enter Code Here
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
@@ -1,7 +1,11 @@
+# %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
+def get_total_extras():
+    extras = np.genfromtxt(path, dtype=None, delimiter=',', skip_header=1,usecols=(17)) #read csv file
+    return extras.sum()
+