mdvtools.csv_to_static#
Attributes#
Functions#
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Has some side effects on the dataframe: |
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Converts the dataframe to binary format. |
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Module Contents#
- mdvtools.csv_to_static.get_datasource()[source]#
Has some side effects on the dataframe: if args.discard_redundant:
removes columns that are redundant (all the same value)
text columns are converted to indices.
Outputs a descriptor like this: {
“name”: “metric_table”, “size”: number of rows, “images”: {
- “images”: {
“base_url”: “./images/”, “type”: “png”, “key_column”: “image_id”
}
} “columns”: [
- {
“datatype”: “float” | “integer” | “text” | “unique”, “name”: “column_name”, “field”: “column_name”, “minMax”?: [min, max], “quantiles”?: …, “values”?: [‘a’, ‘b’, ‘c’],
}
]
}