This repository was archived by the owner on Oct 29, 2024. It is now read-only.
This repository was archived by the owner on Oct 29, 2024. It is now read-only.
Understanding how to write pandas DF with tags, to influxDB #510
Closed
Description
Hi. I have a [3526 rows x 5 columns] DF. This is a snippet of it.
0 1 2 3 4
0 2017-09-29 22:41:51 10.2.95.5 C1195_LF470_SARF 0.0.1.1 11993
1 2017-09-29 22:41:37 10.2.52.7 CF643_RCZ70_SARM 0.0.1.16 12102
2 2017-09-29 22:41:39 10.2.102.7 C1345_BQS70_SARF 0.0.1.17 18173
3 2017-09-29 22:41:41 10.2.23.212 CN165_FS470_SAR8 0.0.0.7 23525
4 2017-09-29 22:41:38 10.2.96.4 CF832_UY570_SARM 0.0.1.4 6162
So column 0 is the index(time), columns 1, 2 and 3 should be tags, and column 4 is my value.
I've inserted previously points into influxdb by using a dictionary, such as ...
bodyDB = [{
"measurement": tbName,
"tags":
{
"col1": col1,
"col2": col2,
"col3": col3
},
"time": col0,
"fields":
{
"col4": col4
}
}]
How can I accomplish the same but, instead of using the write_points(bodyDB), issuing the same with the DF? I don't understand how to tell the write_points() which column is index, which are tags and which is value?
Thanks!
Metadata
Metadata
Assignees
Labels
No labels