demoparser2 0.0.1

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Demo parser for Counter-Strike 2

Work in progress so expect some bugs here and there!

Install

comming soon!

Useage:

Game events

from demoparser2 import DemoParser

parser = DemoParser("path_to_demo.dem")
df = parser.parse_events("player_death")

Tick data (entities)

from demoparser2 import DemoParser

wanted_props = ["m_vecX", "m_vecY"]

parser = DemoParser("path_to_demo.dem")
df = parser.parse_ticks(wanted_props)

Both events return a Pandas Dataframe.

Example output:

             m_vecX       m_vecY   tick            steamid        name
0        649.795044   633.648438      0  76512345678912345      person1
1        526.207642   794.186157      0  76512345678912345      person2
2        997.494324   583.692871      0  76512345678912345      person3
3        958.421570   498.485657      0  76512345678912345      person4
4        624.525696   556.522217      0  76512345678912345      person5
...             ...          ...    ...                ...         ...
913215   924.593140   308.131622  30452  76512345678912345      person6
913216   598.564514   794.186157  30452  76512345678912345      person7
913217   329.393677   323.219360  30452  76512345678912345      person8
913218   526.207642    81.611084  30452  76512345678912345      person9
913219    36.691650   308.887451  30452  76512345678912345      person10

(steamids and names are made up in this example)

You can also filter ticks:

df = parser.parse_ticks(wanted_props, ticks=[x for x in range(29000, 30000)])

Progress:

• Game events
• Server info
• Sendtables
• Serverclasses
• Header
• Packet entites
• String tables

Values to try for tick data (more on the way):

m_vecX
m_vecY
m_vecZ
m_iHealth
m_iTeamNum
m_bInBuyZone
m_szLastPlaceName
m_iWeaponPurchasesThisRound
m_szRagdollDamageWeaponName
m_unTotalRoundDamageDealt

Acknowledgements

Without Dotabuff's dota 2 parser manta this would not have been possible. Check it out: https://github.com/dotabuff/manta

The dota 2 demo format is very similar to CS2 demo format with only a few minor changes.