Plot graph for many log file that is managed by DATE
Project description
Output graph script by log file. In addition to a single file, you can easily process a large number of identical format log files.
System requirements
language : After Python 3.6.3
necessary package
matplotlib
pandas
PyYAML
install
cd (plotlog dir)
pip3 install matplotlib
pip3 install pandas
pip3 install pyyaml
pip3 install cx_freeze
python3 setup.py install
Usage
plotlog [-h] [--setting SETTING_FILE_PATH] [--copy] [--new | --all | --after DATE | --select DATE [DATE ...] | --input LOG_FILE_PATH [LOG_FILE_PATH ...]] [--slice BEGIN END] [--noshift] optional arguments: -h, --help show this help message and exit --setting SETTING_FILE_PATH select setting file (default:'user.yml') --copy copy original setting file --new DEFAULT: output graphs that has not been output yet --all output graphs for all data --after DATE output graphs after the selected DATE(yyyymmddhhmm) --select DATE [DATE ...] output graphs only selected DATEs --input LOG_FILE_PATH [LOG_FILE_PATH ...] output graphs for selected log file --slice BEGIN END sliced data by begin and end x-axis value --noshift don't shift plot start time and x-axis
First, create setting file.
plotlog --copy
edit the created user.yml, setting each pass and the graph etc to create. Setting items that do not need to be changed may be deleted.
Finish edit user.yml, create graph.
plotlog
If user.yml is set correctly, a graph is drawn for a log file that has not yet been output.
Setting
It is reflected by editing user.yml. Also, this is reflected by creating a new yaml file and reading it with the --setting argument.
Log file condition
File name: recommend “yymmddhhmmss.csv” or “yymmddhhmm.csv” or “yyyymmddhhmmss.csv” or “yyyymmddhhmm.csv” used date.
e.g.) 171230235900.csv
specified in the setting file which select file name type to “log_date_type”.
Extension and separate character can change setting file.
All column equal all row
Put on the directory specified in the setting file (except when using –input)
LICENCE
This script is licenced under the MIT License. (See link)
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