cpic
- Model
- Chart
Get number of companies per industry in a specific country (and specific market cap).
Source Code: [link]
openbb.stocks.sia.cpic(country: str = "United States", mktcap: str = "Large", exclude_exchanges: bool = True)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| country | str | Select country to get number of companies by each industry | United States | True |
| mktcap | str | Select market cap of companies to consider from Small, Mid and Large | Large | True |
| exclude_exchanges | bool | Exclude international exchanges | True | True |
Returns
| Type | Description |
|---|---|
| dict | Dictionary of industries and number of companies in a specific country |
Display number of companies per industry in a specific country. [Source: Finance Database]
Source Code: [link]
openbb.stocks.sia.cpic_chart(country: str = "United States", mktcap: str = "Large", exclude_exchanges: bool = True, export: str = "", raw: bool = False, max_industries_to_display: int = 15, min_pct_to_display_industry: float = 0.015, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| country | str | Select country to get number of companies by each industry | United States | True |
| mktcap | str | Select market cap of companies to consider from Small, Mid and Large | Large | True |
| exclude_exchanges | bool | Exclude international exchanges | True | True |
| export | str | Format to export data as | True | |
| raw | bool | Output all raw data | False | True |
| max_industries_to_display | int | Maximum number of industries to display | 15 | True |
| min_pct_to_display_industry | float | Minimum percentage to display industry | 0.015 | True |
| external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True |
Returns
This function does not return anything