{"id":16912,"date":"2022-10-22T13:21:01","date_gmt":"2022-10-22T07:51:01","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-convert-several-yaml-files-to-csv\/"},"modified":"2022-10-22T13:21:01","modified_gmt":"2022-10-22T07:51:01","slug":"solved-convert-several-yaml-files-to-csv","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-convert-several-yaml-files-to-csv\/","title":{"rendered":"[Solved] Convert several YAML files to CSV"},"content":{"rendered":"

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I would make use of a Python YAML library to help with doing that. This could be installed using:<\/p>\n

pip install pyyaml\n<\/code><\/pre>\n
The files you have given could then be converted to CSV as follows:    <\/p>\n
import csv\nimport yaml\n\nfieldnames = ['Name', 'Author', 'Written', 'About', 'Body']\n\nwith open('output.csv', 'w', newline=\"\") as f_output:\n    csv_output = csv.DictWriter(f_output, fieldnames=fieldnames)\n    csv_output.writeheader()\n\n    for filename in ['Test_Co_1.txt', 'Test_Co_2.txt']:\n        with open(filename) as f_input:\n            data = yaml.safe_load(f_input)\n\n        name = data[0]['Name']\n\n        for entry in data:\n            key = next(iter(entry))\n\n            if key.startswith('Note') or key.startswith('Comment'):\n                row = {'Name' : name}\n\n                for d in entry[key]:\n                    for get in ['Author', 'Written', 'About', 'Body']:\n                        try:\n                            row[get] = d[get]\n                        except KeyError as e:\n                            pass\n\n                csv_output.writerow(row)\n<\/code><\/pre>\n
This assumes a standard CSV format (i.e. commas between fields and quotes are used if a field contains a newline or commas).    <\/p>\n
To understand this, I would recommend you add some print statements to see what things look like. For example data<\/code> holds then entire file contents in a format of lists and dictionaries. It is then a case of extracting the bits you need.                <\/p>\n
To apply this to all of your YAML files, I would replacing the filenames with a call to glob.glob('*.txt')<\/code><\/p>\n<\/p><\/div>\n
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            2<\/span> <\/p><\/div>\n<\/div>\n
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solved Convert several YAML files to CSV <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] I would make use of a Python YAML library to help with doing that. This could be installed using: pip install pyyaml The files you have given could then be converted to CSV as follows: import csv import yaml fieldnames = [‘Name’, ‘Author’, ‘Written’, ‘About’, ‘Body’] with open(‘output.csv’, ‘w’, newline=””) as f_output: csv_output = … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[483,349,3973],"class_list":["post-16912","post","type-post","status-publish","format-standard","hentry","category-solved","tag-csv","tag-python","tag-yaml"],"yoast_head":"\n[Solved] Convert several YAML files to CSV - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-convert-several-yaml-files-to-csv\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Convert several YAML files to CSV - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] I would make use of a Python YAML library to help with doing that. This could be installed using: pip install pyyaml The files you have given could then be converted to CSV as follows: import csv import yaml fieldnames = ['Name', 'Author', 'Written', 'About', 'Body'] with open('output.csv', 'w', newline="") as f_output: csv_output = ... 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This could be installed using: pip install pyyaml The files you have given could then be converted to CSV as follows: import csv import yaml fieldnames = ['Name', 'Author', 'Written', 'About', 'Body'] with open('output.csv', 'w', newline=\"\") as f_output: csv_output = ... 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