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This repository was archived by the owner on Oct 29, 2024. It is now read-only.
Tags in write_points: tag_columns not optional when using json protocol #910
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Description
- InfluxDB-python version: 5.3.1
- Python version: tried 3.6 and 3.8
- Operating system version: Windows 10
DataFrameClient.write_points usingprotocol=json currently only seem to embedtags when alsotag_columns are specified. This is not what you would want, and also not as stated in the docs.
influxdb-python/influxdb/_dataframe_client.py
Lines 286 to 313 in7cb5656
| ifnottag_columns: | |
| points= [ | |
| {'measurement':measurement, | |
| 'fields': | |
| rec.replace([np.inf,-np.inf],np.nan).dropna().to_dict(), | |
| 'time':np.int64(ts.value/precision_factor)} | |
| forts, (_,rec)inzip( | |
| dataframe.index, | |
| dataframe[field_columns].iterrows() | |
| ) | |
| ] | |
| returnpoints | |
| points= [ | |
| {'measurement':measurement, | |
| 'tags':dict(list(tag.items())+list(tags.items())), | |
| 'fields': | |
| rec.replace([np.inf,-np.inf],np.nan).dropna().to_dict(), | |
| 'time':np.int64(ts.value/precision_factor)} | |
| forts,tag, (_,rec)inzip( | |
| dataframe.index, | |
| dataframe[tag_columns].to_dict('record'), | |
| dataframe[field_columns].iterrows() | |
| ) | |
| ] | |
| returnpoints |
Please maketag_columns also optional using json protocol.
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