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docs: update README
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README.md
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README.md
@ -189,25 +189,34 @@ pip install graph-cli
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3) Create plots
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Create one plot for each .csv file:
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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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```shell
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sample_duration=4H
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for file in *.csv; do
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graph "${file}" -x 1 --resample "${sample_duration}" --figsize 1600x1000 -o "${file}".resample-"${sample_duration}"-mean.png || {
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function plot(){
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for file in "${@}"; do
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graph "${file}" -x 1 --resample "${sample_duration}" --resample-action "${action}" --figsize 1600x1000 -o "${file}".resample-"${sample_duration}-${action}".png || {
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echo "Error while processing ${file}"
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}
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done
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done
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}
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for file in {swap,memory}.csv {temp_,drive_,net_,cpu_,filesystem_}*.csv; do
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graph "${file}" -x 1 --resample "${sample_duration}" --resample-action max --figsize 1600x1000 -o "${file}".resample-"${sample_duration}"-max.png || {
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echo "Error while processing ${file}"
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}
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done
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# MEAN
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sample_duration=24H
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action=mean
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plot {swap,memory}.csv {temp_,cpu_,sensor_script_}*.csv
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# MAX
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sample_duration=24H
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action=max
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plot {swap,memory}.csv {temp_,drive_,net_,cpu_,filesystem_,sensor_script_}*.csv
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# SUM
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sample_duration=24H
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action=sum
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plot net_*.csv
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```
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4) Optionally, create more plots
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4) Create more plots as you like
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Some self-explaining examples:
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@ -222,17 +231,6 @@ graph cpu_1min.csv -x 1 --resample 1H -o cpu_1min_resample-1H.png
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graph cpu_1min.csv -x 1 --resample 1H --figsize 1600x1000 -o cpu_1min_resample-1H.png
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```
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```shel
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# resample using sum
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graph net_enp0s31f6.csv.exported.csv -x 1 --resample 1H --resample-action sum --figsize 1600x1000 -o net_enp0s31f6.csv.exported_resample-1H-sum.png
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```
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```shel
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# resample using max
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graph cpu_1min.csv -x 1 --resample 1H --resample-action max --figsize 1600x1000 -o cpu_1min_resample-1H-max.png
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```
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### Example plots
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![img](images/cpu_1min.csv.resample-1H.png)
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