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README.md
12
README.md
@ -187,6 +187,18 @@ source ~/de-p1st-monitor.venv/bin/activate
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pip install graph-cli
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```
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3) Prepare data (WIP)
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```shell
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qsv=/home/yoda/Downloads/qsv-0.108.0-x86_64-unknown-linux-gnu/qsv
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file=foo.csv
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# TODO: Divide net_* total sent bytes column by 1.000.000 to make numbers smaller
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"${qsv}" headers --just-names "${file}"
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"${qsv}" apply dynfmt --formatstr '{FOO} €' -c 'Total Price' "${file}"
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"${qsv}" apply calcconv --formatstr '{col1} + 10' --new-column BAR "${file}"
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```
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3) Create plots
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Create one plot for each .csv file with different resampling methods (https://pandas.pydata.org/pandas-docs/stable/reference/resampling.html#computations-descriptive-stats):
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