ValorantSeriesService

A list of all methods in the ValorantSeriesService service. Click on the method name to view detailed information about that method.

Methods	Description
get_valorant_series	List series for the Valorant videogame
get_valorant_series_past	List past Valorant series
get_valorant_series_running	List running Valorant series
get_valorant_series_upcoming	List upcoming Valorant series

get_valorant_series

List series for the Valorant videogame

HTTP Method: GET
Endpoint: /valorant/series

Parameters

Name	Type	Required	Description
filter	FilterOverValorantSeries	❌	Options to filter results. String fields are case sensitive For more information on filtering, see docs.
range	RangeOverValorantSeries	❌	Options to select results within ranges For more information on ranges, see docs.
sort	List[any]	❌	Options to sort results For more information on sorting, see docs.
search	SearchOverValorantSeries	❌	Options to search results For more information on searching, see docs.
page	Page	❌	Pagination in the form of `page=2` or `page[size]=30&page[number]=2`
per_page	int	❌	Equivalent to `page[size]`

Return Type

List[Serie]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantSeries, RangeOverValorantSeries, SearchOverValorantSeries

sdk = PandascoreClient(
    access_token="YOUR_ACCESS_TOKEN",
    base_url=Environment.DEFAULT.value,
    timeout=10000
)
filter=FilterOverValorantSeries(
    begin_at=[
        "vo"
    ],
    end_at=[
        "officia"
    ],
    id_=[
        4
    ],
    league_id=[
        4
    ],
    modified_at=[
        "Exce"
    ],
    name=[
        "veniam "
    ],
    season=[
        "qui est a"
    ],
    slug=[
        "a-__fpigd"
    ],
    videogame_title=[
        1
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
range=RangeOverValorantSeries(
    begin_at=[
        "nisi r"
    ],
    end_at=[
        "esse do"
    ],
    id_=[
        2
    ],
    league_id=[
        2
    ],
    modified_at=[
        "sun"
    ],
    name=[
        "dolore in in"
    ],
    season=[
        "labore do dolo"
    ],
    slug=[
        "a046lpfr"
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
sort=[
    ""
]
search=SearchOverValorantSeries(
    name="doeiu",
    season="veniam ",
    slug="1-0pexfqf",
    winner_type="Player"
)
page=1

result = sdk.valorant_series.get_valorant_series(
    filter=filter,
    range=range,
    sort=sort,
    search=search,
    page=page,
    per_page=50
)

print(result)

get_valorant_series_past

List past Valorant series

HTTP Method: GET
Endpoint: /valorant/series/past

Parameters

Name	Type	Required	Description
filter	FilterOverValorantSeries	❌	Options to filter results. String fields are case sensitive For more information on filtering, see docs.
range	RangeOverValorantSeries	❌	Options to select results within ranges For more information on ranges, see docs.
sort	List[any]	❌	Options to sort results For more information on sorting, see docs.
search	SearchOverValorantSeries	❌	Options to search results For more information on searching, see docs.
page	Page	❌	Pagination in the form of `page=2` or `page[size]=30&page[number]=2`
per_page	int	❌	Equivalent to `page[size]`

Return Type

List[Serie]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantSeries, RangeOverValorantSeries, SearchOverValorantSeries

sdk = PandascoreClient(
    access_token="YOUR_ACCESS_TOKEN",
    base_url=Environment.DEFAULT.value,
    timeout=10000
)
filter=FilterOverValorantSeries(
    begin_at=[
        "vo"
    ],
    end_at=[
        "officia"
    ],
    id_=[
        4
    ],
    league_id=[
        4
    ],
    modified_at=[
        "Exce"
    ],
    name=[
        "veniam "
    ],
    season=[
        "qui est a"
    ],
    slug=[
        "a-__fpigd"
    ],
    videogame_title=[
        1
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
range=RangeOverValorantSeries(
    begin_at=[
        "nisi r"
    ],
    end_at=[
        "esse do"
    ],
    id_=[
        2
    ],
    league_id=[
        2
    ],
    modified_at=[
        "sun"
    ],
    name=[
        "dolore in in"
    ],
    season=[
        "labore do dolo"
    ],
    slug=[
        "a046lpfr"
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
sort=[
    ""
]
search=SearchOverValorantSeries(
    name="doeiu",
    season="veniam ",
    slug="1-0pexfqf",
    winner_type="Player"
)
page=1

result = sdk.valorant_series.get_valorant_series_past(
    filter=filter,
    range=range,
    sort=sort,
    search=search,
    page=page,
    per_page=50
)

print(result)

get_valorant_series_running

List running Valorant series

HTTP Method: GET
Endpoint: /valorant/series/running

Parameters

Name	Type	Required	Description
filter	FilterOverValorantSeries	❌	Options to filter results. String fields are case sensitive For more information on filtering, see docs.
range	RangeOverValorantSeries	❌	Options to select results within ranges For more information on ranges, see docs.
sort	List[any]	❌	Options to sort results For more information on sorting, see docs.
search	SearchOverValorantSeries	❌	Options to search results For more information on searching, see docs.
page	Page	❌	Pagination in the form of `page=2` or `page[size]=30&page[number]=2`
per_page	int	❌	Equivalent to `page[size]`

Return Type

List[Serie]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantSeries, RangeOverValorantSeries, SearchOverValorantSeries

sdk = PandascoreClient(
    access_token="YOUR_ACCESS_TOKEN",
    base_url=Environment.DEFAULT.value,
    timeout=10000
)
filter=FilterOverValorantSeries(
    begin_at=[
        "vo"
    ],
    end_at=[
        "officia"
    ],
    id_=[
        4
    ],
    league_id=[
        4
    ],
    modified_at=[
        "Exce"
    ],
    name=[
        "veniam "
    ],
    season=[
        "qui est a"
    ],
    slug=[
        "a-__fpigd"
    ],
    videogame_title=[
        1
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
range=RangeOverValorantSeries(
    begin_at=[
        "nisi r"
    ],
    end_at=[
        "esse do"
    ],
    id_=[
        2
    ],
    league_id=[
        2
    ],
    modified_at=[
        "sun"
    ],
    name=[
        "dolore in in"
    ],
    season=[
        "labore do dolo"
    ],
    slug=[
        "a046lpfr"
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
sort=[
    ""
]
search=SearchOverValorantSeries(
    name="doeiu",
    season="veniam ",
    slug="1-0pexfqf",
    winner_type="Player"
)
page=1

result = sdk.valorant_series.get_valorant_series_running(
    filter=filter,
    range=range,
    sort=sort,
    search=search,
    page=page,
    per_page=50
)

print(result)

get_valorant_series_upcoming

List upcoming Valorant series

HTTP Method: GET
Endpoint: /valorant/series/upcoming

Parameters

Name	Type	Required	Description
filter	FilterOverValorantSeries	❌	Options to filter results. String fields are case sensitive For more information on filtering, see docs.
range	RangeOverValorantSeries	❌	Options to select results within ranges For more information on ranges, see docs.
sort	List[any]	❌	Options to sort results For more information on sorting, see docs.
search	SearchOverValorantSeries	❌	Options to search results For more information on searching, see docs.
page	Page	❌	Pagination in the form of `page=2` or `page[size]=30&page[number]=2`
per_page	int	❌	Equivalent to `page[size]`

Return Type

List[Serie]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantSeries, RangeOverValorantSeries, SearchOverValorantSeries

sdk = PandascoreClient(
    access_token="YOUR_ACCESS_TOKEN",
    base_url=Environment.DEFAULT.value,
    timeout=10000
)
filter=FilterOverValorantSeries(
    begin_at=[
        "vo"
    ],
    end_at=[
        "officia"
    ],
    id_=[
        4
    ],
    league_id=[
        4
    ],
    modified_at=[
        "Exce"
    ],
    name=[
        "veniam "
    ],
    season=[
        "qui est a"
    ],
    slug=[
        "a-__fpigd"
    ],
    videogame_title=[
        1
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
range=RangeOverValorantSeries(
    begin_at=[
        "nisi r"
    ],
    end_at=[
        "esse do"
    ],
    id_=[
        2
    ],
    league_id=[
        2
    ],
    modified_at=[
        "sun"
    ],
    name=[
        "dolore in in"
    ],
    season=[
        "labore do dolo"
    ],
    slug=[
        "a046lpfr"
    ],
    winner_id=[
        7
    ],
    winner_type=[
        "Player"
    ],
    year=[
        None
    ]
)
sort=[
    ""
]
search=SearchOverValorantSeries(
    name="doeiu",
    season="veniam ",
    slug="1-0pexfqf",
    winner_type="Player"
)
page=1

result = sdk.valorant_series.get_valorant_series_upcoming(
    filter=filter,
    range=range,
    sort=sort,
    search=search,
    page=page,
    per_page=50
)

print(result)

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get_valorant_series​

get_valorant_series_past​

get_valorant_series_running​

get_valorant_series_upcoming​

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get_valorant_series

get_valorant_series_past

get_valorant_series_running

get_valorant_series_upcoming