| metadata(series=None, big_theme=None, source=None, country=None, frequency=None, unit=None, measure=None, status=None, source_ext=None, source_url=None, last_update=None, code=None, comment=None, name=None, numerica=None, theme_code=None) |
| |
| series | str, optional |
Time series code. For the available time series run list_series() |
| big_theme |
str, optional |
Big theme by which the return will be fitered. Options: “Macroecon?mico”, “Regional” or “Social” |
| source |
str, optional |
Source by which the return will be filtered. For available sources run sources() function. |
| country |
str, optional |
Country ID by which the return will be filtered. For available countries and their IDs run countries() function. |
| frequency |
str, optional |
Frequency by which the return will be filtered. |
| unit |
str, optional |
Unit by which the return will be filtered. |
| measure |
str, optional |
Measure by which the return will be filtered. |
| status |
str, optional |
Status by which the return will be filtered. Available options: “A” and “I” |
| source_ext |
str, optional |
Source extended name by which the return will be filtered. |
| source_url |
str, optional |
Source URL by which the return will be filtered. |
| last_update |
str, optional |
Last update date by which the return will be filtered. |
| code |
str, optional |
Time series code by which the return will be filtered. |
| comment |
str, optional |
Time series comment by which the return will be filtered. |
| name |
str, optional |
Time series name by which the return will be filtered. |
| numerica |
bool, optional |
Numeric? True or False. |
| theme_id |
str, optional |
Theme by which the return will be filtered. For available themes run themes() function |
| return |
pandas.DataFrame |
If no keyword is specified, returns a data frame containing all Ipeadata’s time series. Else, returns only the ones that respects the specified parameters |