Created
November 5, 2017 09:15
-
-
Save djfan/51c238caa2b24d95519c16a32b7a6acd to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import numpy as np | |
meta = pd.read_excel('./Search Lookup Table.xlsx') | |
meta['Raw file name'] = meta['Raw file name'].fillna(False) | |
meta['address'] = zip(meta['Country'], meta['file name']) | |
# meta | |
temp_col = meta.Template.unique() | |
# temp_col | |
root = '.' | |
outputAll = pd.DataFrame(columns=np.append(temp_col, 'Brand')) | |
for add in meta.address.unique(): | |
print add | |
c, f = add | |
sample = meta[meta.address == add] | |
sample.reset_index(drop=True, inplace=True) | |
# print sample.shape | |
output = pd.DataFrame(columns= temp_col) | |
data = pd.read_excel(root +'/' + c + '/' + f + '.xlsx') | |
for i in range(len(sample)): | |
# print i, sample['Raw file name'][i], sample.Template[i] | |
if sample['Raw file name'][i]: | |
output[sample.Template[i]] = data[sample['Raw file name'][i]] | |
output['Brand'] = f | |
outputAll = outputAll.append(output, ignore_index=True) | |
outputAll.to_excel('append_data.xlsx') | |
# doublecheck the following file names in both folders 'US' and 'CA': | |
# 'Can-Am ORV_PAC.xlsx' | |
# 'Ski-Doo_PAC.xlsx' |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment