Updated `to_csv` comments and usage example. [ci skip]
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@ -568,11 +568,11 @@ s = d.to_base64(subformat='json', encoding='utf-8', **kwargs)
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- #### to_csv
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```python
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# Return a list of dicts encoded in csv format and optionally save it at the specified filepath.
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# Return a list of dicts in the current dict encoded in csv format and optionally save it at the specified filepath.
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# It's possible to specify the key of the item (list of dicts) to encode, default: 'values'.
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# It's possible to specify the columns list, default: None (in this case the keys of the first item will be used).
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# A ValueError is raised in case of failure.
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d = benedict.to_csv(key='values', columns=None, columns_row=True, **kwargs)
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s = d.to_csv(key='values', columns=None, columns_row=True, **kwargs)
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```
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- #### to_json
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@ -163,7 +163,7 @@ class IODict(BaseDict):
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def to_csv(self, key='values', columns=None, columns_row=True, **kwargs):
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"""
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Encode the current dict instance in CSV format.
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Encode a list of dicts in the current dict instance in CSV format.
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Encoder specific options can be passed using kwargs:
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https://docs.python.org/3/library/csv.html
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Return the encoded string and optionally save it at 'filepath'.
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