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Changelog

[1.4.0] - 2024-05-06

Updated

  • Fixed issues with the WorldEconomicOutlook importer. Switches to using imf-reader, a new package we have developed to read the WEO data using the SDMX standard, rather than the excel files.

[1.3.2] - 2024-05-06

Updated

  • Updated pyarrow dependency (more flexible)

[1.3.1] - 2024-04-18

Updated

  • Switched the backend of the WorldEconomicOutlook importer to remove the weo-reader dependency.

[1.3.0] - 2024-04-9

Updated

  • Fixed a bug with DSA data extraction from the IMF.
  • Updated dependencies.

[1.2.2] - 2024-02-29

Updated

  • Updated dependencies.

[1.2.1] - 2023-12-11

Updated

  • Updated pypdf2 dependency to pypdf.

[1.2.0] - 2023-12-11

Added

  • A custom function 'convert_to_datetime' that replaces the usage of native pd.to_datetime. This function handles various date formats, especially when the date presents only a year. This is to handle pandas >2.0 which deprecated infer_datetime_format.

Changed

  • Upgraded the versions of various dependencies in poetry.lock, including 'anyio', 'astroid', 'asttokens', 'bumpversion', 'pandas' etc.
  • Minor code changes to improve structure and readability. This includes reducing explicit regex flag usage in str.replace and reordering some assignments.

[1.1.1] - 2023-06-27

  • Added a new feature: imf_weo module in import_tools with an object to extract data from the World Economic Outlook (WEO).

[1.1.1] - 2023-07-06

  • Updated requirements

[1.1.0] - 2023-03-09

  • Added a new feature: ilo module in import_tools with an object to extract data from the ILO.
  • Added a new feature: DebtIDS module in import_tools with an object to extract data from the World Bank International Debt Statistics database.
  • Fixed a bug in the ilo importer object that did not map names correctly.

[1.0.1] - 2023-02-07

Improved documentation

[1.0.1] - 2023-02-07

Fix a bug with parsing food security dates

[1.0.0] - 2023-02-07

  • First major release of bblocks. This introduces changes to the importer classes API in order to make things more coherent. As a result, backwards compatibility is not guaranteed.

  • This release introduces changes to how files are stored. No data is distributed with the package anymore. Instead, users are expected to set the working directory to a folder where they want to store the data.

[0.5.1] - 2023-01-12

  • Updated requirements

[0.5.0] - 2023-01-12

  • Fixed bugs in unaids module preventing instantiation of the parent class ImportData and handling json responses for regional data.
  • Updated the requirements

[0.4.3] - 2022-12-08

  • Fixed the GHED importer given changes in the underlying data structure

[0.4.2] - 2022-12-06

  • Added a new feature: who module in import_tools with an object to extract data from GHED dataset.

[0.4.1] - 2022-11-22

  • Improved the pink_sheets and sdr scripts.

[0.4.0] - 2022-11-07

  • Added a new feature: can now import data from UNAIDS. The module is called unaids and is located in import_tools.

[0.3.0] - 2022-10-28

  • Added a new feature: can now import data from the World Bank IDS database. The new module is called ids and it is part of import_tools.debt.

[0.2.10] - 2022-10-08

  • Fix bug in how years added variables are named in DataFrame add

[0.2.9] - 2022-10-08

  • Fix bug in how years are matched under DataFrame add

[0.2.8] - 2022-10-07

  • Change how dates are handled when adding to a dataframe

[0.2.7] - 2022-10-04

  • Update WFP data handling to append new data instead of replacing.

[0.2.6] - 2022-10-03

  • WEO update file path bug fix.

[0.2.5] - 2022-10-03

  • Minor bug with file management resolved.

[0.2.4] - 2022-10-03

  • Added an optional parameter to importers in order to specify where the data should be stored.

[0.2.3] - 2022-10-01

  • Fixed how the WorldEconomicOutlook object handles moving to the latest data
  • Added new optional parameters to WorldEconomicOutlook to allow for specifying the data version.
  • WorldEconomicOutlook now has an instance attribute version that stores the version of the data used to create the object.

[0.2.2] - 2022-09-09

  • Added a new feature: date_to_str(), which formats a date as an english string.
  • Added a new feature: format_number, which formats a numeric series as a formatted string (e.g. 1,234,567.89 instead of 1234567.89). Optionally can specify to format as percentage, millions, or billions.
  • Added a new feature: latest_sdr_exchange, which extracts the latest SDR exchange rate information in a dictionary
  • Fixed bug on SDR object - when update_data = True indicators are loaded in the object when load_indicator is called.

[0.2.1] - 2022-08-16

  • Fixed a bug with adding WEO columns to dataframes

[0.2.0] - 2022-08-10

  • Added a new feature: period_avg(), which calculates the average of a time series/DataFrame for a given period.
  • Added a new module: imf, which contains functions and objects to extract IMF data (SDR holdings and allocations).
  • Added a new feature: get_dsa(), which extracts DSA data from the IMF.
  • Added a new feature: change_from_date(), which calculates the nominal or percentage change for a column (by a grouper) from/to a given date.
  • Added a new feature: append_new_data(), to read a previously-saved DataFrame and append new data to it (removing duplicates by date).
  • Added a new feature: WFPData, class, which is used to download headline and food inflation data, plus people with insufficient food consumption data, from WFP.
  • Added a new feature: get_fao_index(), which downloads the FAO food index data.
  • Added a new feature: convert_id(), which converts a Pandas Series containing country IDs (like names or ISO3 codes) to another format (like ISO3 codes).
  • Added a new feature: dac_codes, which is a dictionary with DAC codes for DAC donor countries. A future version will add recipient codes.
  • Added a new feature: get_population_id(), which returns a Pandas DataFrame with population data for all countries with available World Bank Data. A future version will add the option to choose a source for this data.
  • Added a new feature: add_population_column(), which adds a new column containing population data to a DataFrame.
  • Added a new feature: add_short_names_column(), which adds a new column containing short country names to a DataFrame.
  • Added a new feature: add_iso_codes_column(), which adds a new column containing ISO3 codes to a DataFrame.
  • Added a new feature: filter_latest_by() which returns the latest value given a series of columns to group by.
  • Added a new feature: to_date_column() which converts a column to a date column.
  • Added a new feature: add_poverty_ratio_column() which adds a new column containing the poverty ratio to a DataFrame, using World Bank data. Note that yearly population data is missing for many countries in many years.
  • Added a new feature: add_population_density() which adds a new column containing the population density to a DataFrame, using World Bank data.
  • Added a new feature: add_population_share_column(), which adds a new column transforming a column with numeric values into a new column which shows those values as a share of population.
  • Added a new feature: add_median_observation() to add the median observation for a given group, either as a new column or appended to the end of the dataframe.
  • Added a new feature: add_income_level_column() to add the World Bank income level for countries as a new column.
  • Added a new feature: add_gdp_column() and add_gdp_share_column() to add the GDP information from the IMF World Economic Outlook to a DataFrame.
  • Added a new feature: add_gov_expenditure_column() and add_gov_exp_share_column() to add government expenditure data from IMF World Economic Outlook to a DataFrame.
  • Added a new feature: add_flourish_geometries() to map the geometries used by Flourish maps to countries, added to a DataFrame as a new column.
  • Added a new feature: add_value_as_share() to add a new column with a value as a share of another column.
  • Added new features: A _filter_by() helper function to filter a DataFrame based on membership to a specific grouping. Additionally filter_african_countries() to filter a DataFrame to keep only African countries, filter_eu_countries() to filter to keep ony EU members, filter_by_un_region() to filter by UN regions, and filter_by_continent() to filter countries based on their continent.

[0.1.3] - 2022-07-29

  • Added a new feature: clean_number() which cleans a string and returns a float or int.
  • Added a new feature: clean_numeric_series() which cleans the numbers in a pd.Series (or list of series)
  • improved documentation

[0.0.3] - 2022-06-27

  • First release on PyPI.

[0.0.2] - 2022-06-27

  • Preparation for first release

[0.0.1] - 2022-06-27

  • First release on test PyPI.