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4 changes: 3 additions & 1 deletion q01_zeros_array/build.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,5 +4,7 @@
import numpy as np

# Your solution
def array_zeros():
return np.zeros( (3,4,2))


zeros_array = array_zeros()
7 changes: 7 additions & 0 deletions q02_zeros_reshaped/build.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,3 +3,10 @@
from greyatomlib.python_intermediate.q01_zeros_array.build import array_zeros

# Write your code

def array_reshaped_zeros():
zeros_array_reshaped= array_zeros()
zeros_array_reshaped=zeros_array_reshaped.reshape((2,3,4))
return zeros_array_reshaped

zeros_array_reshaped = array_reshaped_zeros()
6 changes: 5 additions & 1 deletion q03_create_3d_array/build.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,8 @@
# Default Imports
import numpy as np

# Enter solution here
# Enter solution here
def create_3d_array():
arraydim= np.array((3,3,3))
return np.array(range(arraydim.prod())).reshape(arraydim)

4 changes: 3 additions & 1 deletion q04_read_csv_data_to_ndarray/build.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,4 +2,6 @@
import numpy as np
path = "./data/ipl_matches_small.csv"

# Enter code here
# Enter code here
def read_csv_data_to_ndarray(path,dtype=np.float64):
return np.genfromtxt(fname=path,dtype=dtype, delimiter=",",skip_header=True)
4 changes: 3 additions & 1 deletion q05_read_csv_data/build.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
# Default imports
import numpy as np

# Enter code here
# Enter code here
def read_ipl_data_csv(path, dtype=np.float64):
return np.genfromtxt(fname=path,dtype=dtype, delimiter=",",skip_header=True)
7 changes: 6 additions & 1 deletion q06_get_unique_matches_count/build.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,10 @@
# 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
# Enter Code Here
def get_unique_matches_count():
ipl_matches_array = read_ipl_data_csv(path, dtype='|S50')
#unique based on matchcode
return np.count_nonzero(np.unique(ipl_matches_array[:,0]))
11 changes: 10 additions & 1 deletion q07_get_unique_teams_set/build.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,4 +2,13 @@
from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
path = "data/ipl_matches_small.csv"

# Enter Code Here
# Enter Code Here
import numpy as np

def get_unique_teams_set():
ipl_matches_array = read_ipl_data_csv(path, dtype='|S50')
teams = np.unique(ipl_matches_array[:,(3,4)])
output =set()
for team in teams:
output.add(team)
return output
7 changes: 6 additions & 1 deletion q08_get_total_extras/build.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,4 +4,9 @@

path = 'data/ipl_matches_small.csv'

# Enter Code Here
# Enter Code Here
def get_total_extras():
ipl_matches_array = read_ipl_data_csv(path, dtype='|S50')
extras= ipl_matches_array[:,17]
extras=extras.astype(int)
return np.sum (extras)