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Kenneth Reitz
80 lines
1.3 KiB
Markdown
80 lines
1.3 KiB
Markdown
Tabbed -- Pythonic Tabular Datasets
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===================================
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**Tabbed is under active documentation-driven development.**
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Formats supported:
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- JSON
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- YAML
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- Excel
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- CSV
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- CDL
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Please note that this list _purposefully_ excludes XML. And it always will.
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Features
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--------
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Convert data formats via API:
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tabbed.import(filename='data.csv').export('data.json')
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Convert data formats via CLI:
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tabbed data.csv data.json
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Populate fresh data files:
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headers = ('first_name', 'last_name', 'gpa')
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data = [
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('John', 'Adams', 4.0),
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('George', 'Washington', 2.6),
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('Henry', 'Ford', 2.3)
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]
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data = tabbed.Data(*data, headers=headers)
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# Establish file location and save
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data.save('test.xls')
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Intelligently add new rows:
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data.addRow('Bob', 'Dylan')
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# >>> Warning: Existing column count is 3
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print data.headers
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# >>> ('first_name', 'last_name', 'gpa')
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Slice rows:
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print data[0:1]
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# >>> [('John', 'Adams', 4.0), ('George', 'Washington', 2.6)]
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Slice columns by header:
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print data['first_name']
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# >>> ['John', 'George', 'Henry']
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Manipulate rows by index:
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data.delRow(0)
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print data[0:1]
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# >>> [('George', 'Washington', 2.6), ('Henry', 'Ford', 2.3)]
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# Update saved file
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data.save()
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Export to various formats:
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# Save copy as CSV
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data.export('backup.csv') |