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Commit Live PR #72

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yoganct Dec 17, 2017
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yoganct Dec 17, 2017
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yoganct Dec 18, 2017
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yoganct Dec 19, 2017
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yoganct Dec 19, 2017
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yoganct Dec 20, 2017
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7 changes: 3 additions & 4 deletions q01_zeros_array/build.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
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
5 changes: 3 additions & 2 deletions q02_zeros_reshaped/build.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
# 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_reshaped=array_zeros().reshape(2,3,4)
return zeros_array_reshaped
8 changes: 6 additions & 2 deletions q03_create_3d_array/build.py
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@@ -1,4 +1,8 @@
# Default Imports
import numpy as np

# Enter solution here
def create_3d_array():
value=np.zeros((3,3,3))
elements=value.size
total_values=np.arange(elements)
reshape_array=total_values.reshape(3,3,3)
return reshape_array
5 changes: 3 additions & 2 deletions q04_read_csv_data_to_ndarray/build.py
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@@ -1,5 +1,6 @@
# Default Imports
import numpy as np
path = "./data/ipl_matches_small.csv"

# Enter code here
def read_csv_data_to_ndarray(path,dtype):
numpy_array=np.genfromtxt(path,dtype=dtype,delimiter=',',skip_header=1)
return numpy_array
5 changes: 3 additions & 2 deletions q05_read_csv_data/build.py
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@@ -1,4 +1,5 @@
# Default imports
import numpy as np

# Enter code here
def read_ipl_data_csv(path, dtype='|S50'):
numpy_array = np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
return numpy_array
9 changes: 7 additions & 2 deletions q06_get_unique_matches_count/build.py
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@@ -1,5 +1,10 @@
# Default imports
from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
path = 'data/ipl_matches_small.csv'

# Enter Code Here
import numpy as np
def get_unique_matches_count():
def read_ipl_data_csv(file_path, dtype='|S50'):
numpy_array = np.genfromtxt(file_path,delimiter=',',dtype='|S50',skip_header=1)
return numpy_array
unique_matches_count= len(np.unique(read_ipl_data_csv(path)[0:,0]))
return unique_matches_count