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Pandas integration for Prometheus

Project description

Prometheus Pandas

Python library for querying Prometheus and accessing the results as Pandas data structures.

This is mostly intended for use in Jupyter notebooks. See Prometheus.ipynb for an example.


Evaluate an instant query at a single point in time:

>>> from prometheus_pandas import query
>>> p = query.Prometheus('http://localhost:9090')
>>> p.query('node_cpu_seconds_total{mode="system"}', '2020-05-10T00:00:00Z')
node_cpu_seconds_total{cpu="0",instance="localhost:9100",job="node",mode="system"}    15706.47
node_cpu_seconds_total{cpu="1",instance="localhost:9100",job="node",mode="system"}    15133.25
node_cpu_seconds_total{cpu="2",instance="localhost:9100",job="node",mode="system"}    15095.59
node_cpu_seconds_total{cpu="3",instance="localhost:9100",job="node",mode="system"}    14649.20
dtype: float64

Evaluates an expression query over a time range:

>>> from prometheus_pandas import query
>>> p = query.Prometheus('http://localhost:9090')
>>> print(p.query_range(
        'sum(rate(node_cpu_seconds_total{mode=~"system|user"}[1m])) by (mode)',
        '2020-10-05T00:00:00Z', '2020-10-05T06:00:00Z', '1h'))
dtype: float64
                     {mode="system"}  {mode="user"}
2020-10-05 00:00:00         0.022667       0.038222
2020-10-05 01:00:00         0.015333       0.036667
2020-10-05 02:00:00         0.028000       0.040667
2020-10-05 03:00:00         0.015111       0.034889
2020-10-05 04:00:00         0.015556       0.038000
2020-10-05 05:00:00         0.018444       0.040222
2020-10-05 06:00:00         0.018222       0.035111


Latest release via pip:

pip install prometheus-pandas [--user]

via Git:

git clone; cd prometheus-pandas
python3 install [--user]


Licenced under the MIT License. See LICENSE for details.

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