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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
The text was updated successfully, but these errors were encountered:
clslgrnc
added a commit
to clslgrnc/influxdb-python
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this issue
May 7, 2020
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
The text was updated successfully, but these errors were encountered: