Companies¶
Lists of tickers and companies.
- calcbench.companies.companies(SIC_codes=[], index=None, company_identifiers=[], entire_universe=False, include_most_recent_filing_dates=False, NAICS_codes=[])¶
Return a DataFrame with company details
- Parameters:
SIC_codes (
Sequence
[int
]) – Sequence of SIC (Standard Industrial Classification) codes. eg. [1200, 1300]index (
Optional
[Literal
['DJIA'
,'SP500'
]]) – ‘DJIA’ or ‘SP500’company_identifiers (
Sequence
[Union
[str
,int
]]) – tickersentire_universe (
bool
) – all of the companies in the Calcbench databaseNAICS_codes (
Sequence
[int
]) – Sequence of NAICS codes
- Return type:
DataFrame
- Returns:
Dataframe with data about companies
Usage:
>>> calcbench.tickers(company_identifiers=["msft", "orcl"])
- calcbench.companies.companies_raw(SIC_codes=[], index=None, company_identifiers=[], entire_universe=False)¶
- calcbench.companies.tickers(SIC_codes=[], index=None, company_identifiers=[], entire_universe=False, NAICS_codes=[])¶
Get tickers
- Parameters:
SIC_codes (
Sequence
[int
]) – Sequence of SIC (Standard Industrial Classification) codes. eg. [1200, 1300]index (
Optional
[Literal
['DJIA'
,'SP500'
]]) – ‘DJIA’ or ‘SP500’company_identifiers (
Sequence
[Union
[str
,int
]]) – tickersentire_universe (
bool
) – all of the companies in the Calcbench databaseNAICS_codes (
Sequence
[int
]) – Sequence of NAICS codes
- Return type:
list
[str
]- Returns:
list of tickers
Usage:
>>> calcbench.tickers(SIC_codes=[1100])