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Imprecise timestamp added with write_points #822

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lifeisawavesorideit opened this issue Apr 29, 2020 · 1 comment · May be fixed by #823
Open

Imprecise timestamp added with write_points #822

lifeisawavesorideit opened this issue Apr 29, 2020 · 1 comment · May be fixed by #823

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@lifeisawavesorideit
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  • InfluxDB version: e.g. 1.7.6
  • InfluxDB-python version: e.g. 5.3.0
  • Python version: e.g. 3.7.4
  • Operating system version: Windows 10

I'm having issues with the precision of the timestamp in nanoseconds when trying to save it to the InfluxDB.

The last 3 rows of my dataframe look as follows:

Timestamp Value
2019-10-09 11:20:38.253 260.30697
2019-10-09 11:20:38.255 260.44757
2019-10-09 11:20:38.257 260.59392

where the Timestamp is set as index with df.index = pd.to_datetime(df.index, unit='ns').

When writing the endpoints to Influx the timestamps with write_points() I obtain following data inserted:
1570620038252999936 260.30697
1570620038255000064 260.44757
1570620038256999936 260.59392

There seems to be someting wrong when writing the data to the InfluxDB. The expected results should look something like:
1570620038253000000 260.30697
1570620038255000000 260.44757
1570620038257000000 260.59392

clslgrnc added a commit to clslgrnc/influxdb-python that referenced this issue May 7, 2020
@clslgrnc clslgrnc linked a pull request May 7, 2020 that will close this issue
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@russorat
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russorat commented May 8, 2020

@lifeisawavesorideit thanks for opening! should be fixed with the attached PR!

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2 participants