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Description:

osudatacsv 0.1.6

Data PPY CSV Retrieval
Retrieve data from the data ppy dump as CSV files.
:exclamation: Important
I have been given permission to upload the script, however, not the data.
Thus, if you want to upload the data elsewhere, please contact ppy through contact@ppy.sh.
All data provided here is done so with the intention of it being used for statistical analysis
and testing osu! subsystems.

Permission is NOT implicitly granted to deploy this in production use of any kind.
Should you wish to publicly use/expose the data provided here, please contact me first at contact@ppy.sh.

Please see https://github.com/ppy/osu-performance for more information.

Thanks,
ppy

Downloading & Converting

pip install osu-data-csv

run osu-data-csv in the terminal
osu-data-csv

A series of prompts should show up. See Arguments below for more info and examples

(Alternatively) run in a single command
osu-data-csv \
-y "2022_12" \
-d "mania" \
-s "1000" \
-l "data/" \
-c "N" \
-q "Y" \
-i "path/to/ignore_mapping.yaml"

Arguments

Option
Option (Shorthand)
Desc.
Example

--year_month
-y
Dataset Year and Month. Will fail if doesn't exist anymore
2022_10

--mode
-d
Gamemode. ['catch', 'mania', 'osu', 'taiko']
mania

--set
-s
Dataset of Top 1K or 10K players. ['1000', '10000']
1000

--dl_dir
-l
Directory to download to. Best if empty. Can be not created.
data/

--cleanup
-c
Whether to delete unused files after conversion. ['Y', 'N']
N

--bypass_confirm
-q
Whether to bypass confirmation of downloaded and new files. ['Y', 'N']
N

--ignore_path
-i
Path to YAML file ignore specification (see next section)
path/to/ignore_mapping.yaml

It's set to retrieve the following:
osu_user_stats_<MODE>.sql
osu_scores_<MODE>_high.sql
osu_beatmap_difficulty.sql
osu_beatmaps.sql

Selecting Columns
It's slow as it converts all columns. To speed this up, and reduce space taken, it's best to use --ignore_path
with a YAML file.

Download the template ignore_mapping.yaml here
Comment out fields that you want to include.
Call osu-data-csv -i path/to/ignore_mapping.yaml [other options]

For example
osu_beatmap_difficulty.sql:
# - beatmap_id
- mode
- mods
- diff_unified
- last_update
osu_beatmaps.sql:
- beatmap_id
- beatmapset_id
# - user_id
# - filename
...

We'll retrieve beatmap_id from osu_beatmap_difficulty.sql and user_id, file_name from osu_beatmaps.sql
Output
This will generate a few files. You'd want to retrieve the .csv.
- main.py
- <dl_dir>/
- 202X_XX_01_performance_<MODE>_top_<SET>.tar.bz2 (*)
- 202X_XX_01_performance_<MODE>_top_<SET>/
- csv/
- osu_user_stats_<MODE>.csv
- _.csv
- ...
- osu_user_stats_<MODE>.sql (*)
- _.sql (*)
- ...

(*) files are deleted if cleanup is enabled.