Created
September 10, 2020 00:54
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Combine multiple .csv files into one pandas dataframe and write out to a zip file
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Wed Sep 9 16:46:15 2020 | |
| @author: mweber | |
| """ | |
| # Combine hydro-region tables if desired | |
| import pandas as pd | |
| import glob | |
| path = r'L:/Priv/CORFiles/Geospatial_Library_Projects/StreamCat/FTP_Staging/StreamCat/HydroRegions' # use your path | |
| all_files = glob.glob(path + "/AgriculturalNitrogen*.csv") | |
| full_files = [] | |
| for filename in all_files: | |
| df = pd.read_csv(filename, index_col=None, header=0) | |
| full_files.append(df) | |
| frame = pd.concat(full_files, axis=0, ignore_index=True) | |
| compression_opts = dict(method='zip', | |
| archive_name='out.csv') | |
| frame.to_csv('c:/users/mweber/temp/AgNit.zip', compression=compression_opts) |
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thank you man