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| author | Egor Tensin <Egor.Tensin@gmail.com> | 2016-07-19 23:29:23 +0300 |
|---|---|---|
| committer | Egor Tensin <Egor.Tensin@gmail.com> | 2016-07-19 23:29:23 +0300 |
| commit | 00a87519cce24d130f193cf8d2a540469f38efdc (patch) | |
| tree | 1138bc4bfb8634dfa5f4fef7fb7621f51fd4cee2 /docs/online_sessions.md | |
| parent | minimize Pylint configuration (diff) | |
| download | vk-scripts-00a87519cce24d130f193cf8d2a540469f38efdc.tar.gz vk-scripts-00a87519cce24d130f193cf8d2a540469f38efdc.zip | |
online_duration.py -> online_sessions.py
Diffstat (limited to '')
| -rw-r--r-- | docs/online_sessions.md (renamed from docs/online_duration.md) | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/docs/online_duration.md b/docs/online_sessions.md index f5c703b..e6b4b08 100644 --- a/docs/online_duration.md +++ b/docs/online_sessions.md @@ -1,4 +1,4 @@ -online_duration.py +online_sessions.py ================== View/visualize the amount of time people spend online. @@ -9,8 +9,8 @@ Usage Run from the top-level directory using `python -m`: ``` -> python -m bin.online_duration -h -usage: online_duration.py [-h] [-g {user,date,weekday,hour}] +> python -m bin.online_sessions -h +usage: online_sessions.py [-h] [-g {user,date,weekday,hour}] [-i {csv,log,null}] [-o {csv,json,plot}] [-a TIME_FROM] [-b TIME_TO] input [output] @@ -24,7 +24,7 @@ For example (assuming the database in "db.csv" was generated by [track_status.py] before): ``` -> python -m bin.online_duration db.csv +> python -m bin.online_sessions db.csv 89497105,John,Smith,john.smith,0:12:31 3698577,Jane,Smith,jane.smith,1:34:46 ``` @@ -36,7 +36,7 @@ The output format is CSV (comma-separated values) by default. You can also get a JSON document: ``` -> python -m bin.online_duration --output-format json db.csv +> python -m bin.online_sessions --output-format json db.csv [ { "uid": 89497105, @@ -63,7 +63,7 @@ For example (assuming that both Jane and Joe spent their time online on Friday, June 17, 2016). ``` -> python -m bin.online_duration --output-format json --group-by date db.csv +> python -m bin.online_sessions --output-format json --group-by date db.csv [ { "date": "2016-06-17", @@ -73,7 +73,7 @@ June 17, 2016). ``` ``` -> python -m bin.online_duration --output-format csv --group-by weekday db.csv +> python -m bin.online_sessions --output-format csv --group-by weekday db.csv Monday,0:00:00 Tuesday,0:00:00 Wednesday,0:00:00 @@ -84,7 +84,7 @@ Sunday,0:00:00 ``` ``` -> python -m bin.online_duration --group-by hour db.csv +> python -m bin.online_sessions --group-by hour db.csv 0:00:00,0:00:00 1:00:00,0:00:00 2:00:00,0:00:00 @@ -117,25 +117,25 @@ To produce a plot, pass `plot` as the `--output-format` parameter value and add a file path to write the image to. ``` -> python -m bin.online_duration --output-format plot db.csv user.png +> python -m bin.online_sessions --output-format plot db.csv user.png ``` ![user.png] ``` -> python -m bin.online_duration --output-format plot --group-by date db.csv date.png +> python -m bin.online_sessions --output-format plot --group-by date db.csv date.png ``` ![date.png] ``` -> python -m bin.online_duration --output-format plot --group-by weekday db.csv weekday.png +> python -m bin.online_sessions --output-format plot --group-by weekday db.csv weekday.png ``` ![weekday.png] ``` -> python -m bin.online_duration --output-format plot --group-by hour db.csv hour.png +> python -m bin.online_sessions --output-format plot --group-by hour db.csv hour.png ``` ![hour.png] |