Created
September 30, 2017 06:57
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from Project_Clean_data import raw | |
from Project_Clean_data import header | |
import numpy as np | |
import xlsxwriter | |
# We could also define binary headers and only calculate there. | |
# build statistics function | |
def __get_basic_stats__(x): | |
mean_x = x.mean() | |
std_x = x.std(ddof=1) | |
median_x = np.median(x) | |
range_x = x.max() - x.min() | |
norm_x = np.linalg.norm(x) | |
min_x = min(x) | |
max_x = max(x) | |
print('Min:', min_x) | |
print('Max:', max_x) | |
print('Mean:', mean_x) | |
print('Standard Deviation:', std_x) | |
print('Median:', median_x) | |
print('Range:', range_x) | |
print('Norm:', norm_x) | |
# apply to data | |
for column_number in range(raw.shape[1]): | |
print('Attribute Name: {}'.format(header[column_number])) | |
__get_basic_stats__(raw[:, column_number]) | |
print('\n') | |
# function that can write to excel file | |
def __write_basic_stats__(x): | |
results = [] | |
mean_x = x.mean() | |
std_x = x.std(ddof=1) | |
median_x = np.median(x) | |
range_x = x.max() - x.min() | |
norm_x = np.linalg.norm(x) | |
min_x = min(x) | |
max_x = max(x) | |
results.append(mean_x) | |
results.append(std_x) | |
results.append(median_x) | |
results.append(range_x) | |
results.append(norm_x) | |
results.append(min_x) | |
results.append(max_x) | |
if min_x == 0 and max_x == 1: | |
percentage_of_1 = sum(x) * 100.0 / len(x) | |
percentage_of_0 = 100.0 - percentage_of_1 | |
results.append(percentage_of_1) | |
results.append(percentage_of_0) | |
return results | |
# Write Everythng to Excel File | |
workbook = xlsxwriter.Workbook('Statistics.xlsx') | |
worksheet = workbook.add_worksheet() | |
row = 1 | |
column = 1 | |
for column_number in range(raw.shape[1]): | |
result = __write_basic_stats__(raw[:, column_number]) | |
for stat in result: | |
worksheet.write(row, column, stat) | |
column += 1 | |
column = 1 | |
row += 1 | |
row = 1 | |
column = 0 | |
for attribute in header: | |
worksheet.write(row, column, attribute) | |
row += 1 | |
stats = ['Mean', 'Standard Deviation', 'Median', 'Range', 'Norm', 'Minimum', 'Maximum', 'Percentage of 1', 'Percentage of 0'] | |
row = 0 | |
column = 1 | |
for name in stats: | |
worksheet.write(row, column, name) | |
column += 1 | |
workbook.close() | |
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