├── README.md
├── LICENSE
└── dta2csv.py


/README.md:
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1 | dta2csv is a Python3 script to covert a World Band dta-formatted data file to acsv-formatted file. Using it will overwrite an existing csv file.
2 | 
3 | Usage: dta2csv.py -f input_file_name (without the .dta extension)
4 | 
5 | Example for converting data.dta to data.csv:
6 | dta2csv.py -f data
7 | 
8 | Python3 library dependencies: argparse, os and pandas
9 | 


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/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2019 Karl Kirschner
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/dta2csv.py:
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 1 | #!/usr/bin/env python3
 2 | 
 3 | # World Bank's DTA data conversion to csv file
 4 | # Author: Karl Kirschner, 2019
 5 | 
 6 | import argparse
 7 | import os
 8 | import pandas as pd
 9 | 
10 | 
11 | def convert_data(basename=None):
12 | 
13 |     try:
14 |         os.path.exists('{0}.dta'.format(basename))
15 |         print()
16 |         print('Converting {0}.dta to {0}.csv.'.format(basename))
17 |     except FileNotFoundError:
18 |         print()
19 |         print('The file ({0}.dta) does not exist.'.format(basename))
20 | 
21 |     data = pd.io.stata.read_stata('{0}.dta'.format(basename))
22 |     data.to_csv('{0}.csv'.format(basename))
23 | 
24 | 
25 | if __name__ == "__main__":
26 |     """
27 |     Usage: dta2csv.py -f input_file_name (without the .dta extension)
28 |     
29 |     Example for converting data.dta to data.csv: ./dta2csv.py -f data
30 |     
31 |     Note that this will overwrite an existing csv file.
32 |     """
33 | 
34 |     parser = argparse.ArgumentParser()
35 |     parser.add_argument("-f", "--inputfile", type=str, help="Basename for DTA input data file.", action="store")
36 |     args = parser.parse_args()
37 |     convert_data(basename=args.inputfile)
38 | 


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