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6 changes: 6 additions & 0 deletions q01_zeros_array/build.py
Original file line number Diff line number Diff line change
@@ -1,8 +1,14 @@
# %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()


12 changes: 12 additions & 0 deletions q02_zeros_reshaped/build.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,17 @@
# %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=zeros_array.reshape((2,3,4)).transpose()
return zeros_array


array_reshaped_zeros()




10 changes: 9 additions & 1 deletion q03_create_3d_array/build.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,12 @@
# %load q03_create_3d_array/build.py
# Default Imports
import numpy as np

# Enter solution here
# Enter solution here
import numpy as np
def create_3d_array():
N= 3*3*3
return np.arange(N).reshape((3, 3, 3))

create_3d_array()

13 changes: 11 additions & 2 deletions q04_read_csv_data_to_ndarray/build.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,14 @@
# %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'

from numpy import genfromtxt

# Enter code here
def read_csv_data_to_ndarray(path,datatype):
return np.genfromtxt(path, delimiter=',',dtype=str,skip_header=1)


read_csv_data_to_ndarray(path,str)

# Enter code here
11 changes: 10 additions & 1 deletion q05_read_csv_data/build.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,13 @@
# %load q05_read_csv_data/build.py
# Default imports
import numpy as np

# Enter code here
path = './data/ipl_matches_small.csv'

# Enter code here
def read_ipl_data_csv(path,dtype='|S50'):
ipl_matches_array=np.genfromtxt(path, delimiter=',',dtype=dtype,skip_header=1)
return ipl_matches_array

read_ipl_data_csv(path)

9 changes: 9 additions & 0 deletions q06_get_unique_matches_count/build.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,14 @@
# %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
# Enter Code Here
def get_unique_matches_count():
ipl_matches_array1= np.genfromtxt(path, delimiter=',',dtype=str)[:,[0]]
ipl_matches_array= np.unique(ipl_matches_array1)
return (np.count_nonzero(ipl_matches_array)-1)

get_unique_matches_count()

18 changes: 16 additions & 2 deletions q07_get_unique_teams_set/build.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,19 @@
# %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 pandas as pd
# Enter Code Here
ipl= pd.read_csv(path)
def get_unique_teams_set():
ipl_matches_array=np.genfromtxt(path, delimiter=',',dtype='|S50',skip_header=1)
team1 = set(ipl_matches_array[:,3])
team2=set(ipl_matches_array[:,4])
return team1.union(team2)

get_unique_teams_set()




11 changes: 10 additions & 1 deletion q08_get_total_extras/build.py
Original file line number Diff line number Diff line change
@@ -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

path = 'data/ipl_matches_small.csv'

# Enter Code Here
# Enter Code Here

import numpy as np
# Enter Code Here
def get_total_extras():
extras_array=np.genfromtxt(path, delimiter=',',dtype=int)[1:,[17]]
return np.sum(extras_array)
get_total_extras()