Wrangling Uruguayan economic data so you don't have to.
rxavier, updated
🕥
2022-12-08 13:20:22
Overview
This project simplifies gathering and processing of Uruguayan economic statistics. Data is retrieved from (mostly) government sources, processed into a familiar tabular format, tagged with useful metadata and can be transformed in several ways (converting to dollars, calculating rolling averages, resampling to other frequencies, etc.).
If this screenshot gives you anxiety, this package should be of interest.
A webapp with a limited but interactive version of econuy is available at econ.uy. Check out the repo as well.
The most basic econuy workflow goes like this:
```python from econuy.core import Pipeline
p = Pipeline() p.get("labor_rates") ```
Installation
- PyPI:
bash
pip install econuy
- Git:
bash
git clone https://github.com/rxavier/econuy.git
cd econuy
python setup.py install
Usage
Full API documentation available at RTD
The Pipeline() class
This is the recommended entry point for the package. It allows setting up the common behavior for downloads, and holds the current working dataset.
```python from econuy.core import Pipeline
p = Pipeline(location="your_directory") ```
The Pipeline.get() method
Retrieves datasets (generally downloads them, unless the download attribute is False and the requested dataset exists at the location) and loads them into the dataset attribute as a Pandas DataFrame.
The Pipeline.available_datasets() method returns a dict with the available options.
```python from econuy.core import Pipeline from sqlalchemy import create_engine
eng = create_engine("dialect+driver://user:[email protected]:port/database")
p = Pipeline(location=eng) p.get("industrial_production") ```
Which also shows that econuy supports SQLAlchemy Engine or Connection objects.
Note that every time a dataset is retrieved, Pipeline will
1. Check if a previous version exists at location. If it does, it will read it and combine it with the new data (unless download=False, in which case only existing data will be retrieved)
2. Save the dataset to location, unless the always_save attribute is set to False or no new data is available.
Data can be written and read to and from CSV or Excel files (controlled by the read_fmt and save_fmt attributes) or SQL (automatically determined from location).
Dataset metadata
Metadata for each dataset is held in Pandas MultiIndexes with the following:
- Indicator name
- Topic or area
- Frequency
- Currency
- Inflation adjustment
- Unit
- Seasonal adjustment
- Type (stock or flow)
- Cumulative periods
When writing, metadata can be included as dataset headers (Pandas MultiIndex columns), placed on another sheet if writing to Excel, or dropped. This is controlled by read_header and save_header.
Pipeline transformation methods
Pipeline objects with a valid dataset can access 6 transformation methods that modify the held dataset.
resample()- resample data to a different frequency, taking into account whether data is of stock or flow type.chg_diff()- calculate percent changes or differences for same period last year, last period or at annual rate.decompose()- seasonally decompose series into trend or seasonally adjusted components.convert()- convert to US dollars, constant prices or percent of GDP.rebase()- set a period or window as 100, scale rest accordinglyrolling()- calculate rolling windows, either average or sum.
```python from econuy.core import Pipeline
p = Pipeline() p.get("balance_nfps") p.convert(flavor="usd") p.resample(rule="A-DEC", operation="sum") ```
Saving the current dataset
While Pipeline.get() will generally save the retrieved dataset to location, transformation methods won't automatically write data.
However, Pipeline.save() can be used, which will overwrite the file on disk (or SQL table) with the contents in dataset.
The Session() class
Like a Pipeline, except it can hold several datasets.
The datasets attribute is a dict of name-DataFrame pairs. Additionally, Session.get() accepts a sequence of strings representing several datasets.
Transformation and saving methods support a select parameter that determines which held datasets are considered.
```python from econuy.session import Session
s = Session(location="your/directory") s.get(["cpi", "nxr_monthly"]) s.get("commodity_index") s.rolling(window=12, operation="mean", select=["nxr_monthly", "commodity_index"]) ```
Session.get_bulk() makes it easy to get several datasets in one line.
```python from econuy.session import Session
s = Session() s.get_bulk("all") ```
```python from econuy.session import Session
s = Session() s.get_bulk("fiscal_accounts") ```
Session.concat() combines selected datasets into a single DataFrame with a common frequency, and adds it as a new key-pair in datasets.
External binaries and libraries
unrar libraries
The patool package is used in order to access data provided in .rar format. This package requires that you have the unrar binaries in your system, which in most cases you should already have. You can can get them from here if you don't.
Selenium webdrivers
Some retrieval functions need Selenium to be configured in order to scrape data. These functions include a driver parameter in which a Selenium Webdriver can be passed, or they will attempt to configure a Chrome webdriver, even downloading the chromedriver binary if needed. This still requires an existing Chrome installation.
Caveats and plans
Caveats
This project is heavily based on getting data from online sources that could change without notice, causing methods that download data to fail. While I try to stay on my toes and fix these quickly, it helps if you create an issue when you find one of these (or even submit a fix!).
Plans
- Implement a CLI.
- ~~Provide methods to make keeping an updated database easy~~.
Session.get_bulk()mostly covers this. - ~~Visualization.~~ (I have decided that visualization should be up to the end-user. However, the webapp is available for this purpose).
- Translations for dataset descriptions and metadata.
Issues
Bump certifi from 2021.10.8 to 2022.12.7
opened on 2022-12-08 13:20:22 by dependabot[bot]Bumps certifi from 2021.10.8 to 2022.12.7.
Commits
9e9e8402022.12.07b81bdb22022.09.24939a28f2022.09.14aca828a2022.06.15.2de0eae1Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ...b8eb5e92022.06.15.147fb7abFix deprecation warning on Python 3.11 (#199)b0b48e0fixes #198 -- update link in license9d514b42022.06.154151e88Add py.typed to MANIFEST.in to package in sdist (#196)- Additional commits viewable in compare view
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Bump pillow from 8.4.0 to 9.3.0
opened on 2022-11-22 09:29:27 by dependabot[bot]Bumps pillow from 8.4.0 to 9.3.0.
Release notes
Sourced from pillow's releases.
9.3.0
https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html
Changes
- Initialize libtiff buffer when saving #6699 [
@radarhere]- Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [
@wiredfool]- Inline fname2char to fix memory leak #6329 [
@nulano]- Fix memory leaks related to text features #6330 [
@nulano]- Use double quotes for version check on old CPython on Windows #6695 [
@hugovk]- GHA: replace deprecated set-output command with GITHUB_OUTPUT file #6697 [
@nulano]- Remove backup implementation of Round for Windows platforms #6693 [
@cgohlke]- Upload fribidi.dll to GitHub Actions #6532 [
@nulano]- Fixed set_variation_by_name offset #6445 [
@radarhere]- Windows build improvements #6562 [
@nulano]- Fix malloc in _imagingft.c:font_setvaraxes #6690 [
@cgohlke]- Only use ASCII characters in C source file #6691 [
@cgohlke]- Release Python GIL when converting images using matrix operations #6418 [
@hmaarrfk]- Added ExifTags enums #6630 [
@radarhere]- Do not modify previous frame when calculating delta in PNG #6683 [
@radarhere]- Added support for reading BMP images with RLE4 compression #6674 [
@npjg]- Decode JPEG compressed BLP1 data in original mode #6678 [
@radarhere]- pylint warnings #6659 [
@marksmayo]- Added GPS TIFF tag info #6661 [
@radarhere]- Added conversion between RGB/RGBA/RGBX and LAB #6647 [
@radarhere]- Do not attempt normalization if mode is already normal #6644 [
@radarhere]- Fixed seeking to an L frame in a GIF #6576 [
@radarhere]- Consider all frames when selecting mode for PNG save_all #6610 [
@radarhere]- Don't reassign crc on ChunkStream close #6627 [
@radarhere]- Raise a warning if NumPy failed to raise an error during conversion #6594 [
@radarhere]- Only read a maximum of 100 bytes at a time in IMT header #6623 [
@radarhere]- Show all frames in ImageShow #6611 [
@radarhere]- Allow FLI palette chunk to not be first #6626 [
@radarhere]- If first GIF frame has transparency for RGB_ALWAYS loading strategy, use RGBA mode #6592 [
@radarhere]- Round box position to integer when pasting embedded color #6517 [
@radarhere]- Removed EXIF prefix when saving WebP #6582 [
@radarhere]- Pad IM palette to 768 bytes when saving #6579 [
@radarhere]- Added DDS BC6H reading #6449 [
@ShadelessFox]- Added support for opening WhiteIsZero 16-bit integer TIFF images #6642 [
@JayWiz]- Raise an error when allocating translucent color to RGB palette #6654 [
@jsbueno]- Moved mode check outside of loops #6650 [
@radarhere]- Added reading of TIFF child images #6569 [
@radarhere]- Improved ImageOps palette handling #6596 [
@PososikTeam]- Defer parsing of palette into colors #6567 [
@radarhere]- Apply transparency to P images in ImageTk.PhotoImage #6559 [
@radarhere]- Use rounding in ImageOps contain() and pad() #6522 [
@bibinhashley]- Fixed GIF remapping to palette with duplicate entries #6548 [
@radarhere]- Allow remap_palette() to return an image with less than 256 palette entries #6543 [
@radarhere]- Corrected BMP and TGA palette size when saving #6500 [
@radarhere]
... (truncated)
Changelog
Sourced from pillow's changelog.
9.3.0 (2022-10-29)
Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]
Initialize libtiff buffer when saving #6699 [radarhere]
Inline fname2char to fix memory leak #6329 [nulano]
Fix memory leaks related to text features #6330 [nulano]
Use double quotes for version check on old CPython on Windows #6695 [hugovk]
Remove backup implementation of Round for Windows platforms #6693 [cgohlke]
Fixed set_variation_by_name offset #6445 [radarhere]
Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]
Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]
Added ExifTags enums #6630 [radarhere]
Do not modify previous frame when calculating delta in PNG #6683 [radarhere]
Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]
Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]
Added GPS TIFF tag info #6661 [radarhere]
Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]
Do not attempt normalization if mode is already normal #6644 [radarhere]
... (truncated)
Commits
d594f4cUpdate CHANGES.rst [ci skip]909dc649.3.0 version bump1a51ce7Merge pull request #6699 from hugovk/security-libtiff_buffer2444cddMerge pull request #6700 from hugovk/security-samples_per_pixel-sec744f455Added release notes0846bfaAdd to release notes799a6a0Fix linting00b25fdHide UserWarning in logs05b175eTighter test case13f2c5aPrevent DOS with large SAMPLESPERPIXEL in Tiff IFD- Additional commits viewable in compare view
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Bump nbconvert from 6.3.0 to 6.5.1
opened on 2022-08-23 18:44:46 by dependabot[bot]Bumps nbconvert from 6.3.0 to 6.5.1.
Release notes
Sourced from nbconvert's releases.
Release 6.5.1
No release notes provided.
6.5.0
What's Changed
- Drop dependency on testpath. by
@anntzerin jupyter/nbconvert#1723- Adopt pre-commit by
@blink1073in jupyter/nbconvert#1744- Add pytest settings and handle warnings by
@blink1073in jupyter/nbconvert#1745- Apply Autoformatters by
@blink1073in jupyter/nbconvert#1746- Add git-blame-ignore-revs by
@blink1073in jupyter/nbconvert#1748- Update flake8 config by
@blink1073in jupyter/nbconvert#1749- support bleach 5, add packaging and tinycss2 dependencies by
@bollwyvlin jupyter/nbconvert#1755- [pre-commit.ci] pre-commit autoupdate by
@pre-commit-ciin jupyter/nbconvert#1752- update cli example by
@leahecolein jupyter/nbconvert#1753- Clean up pre-commit by
@blink1073in jupyter/nbconvert#1757- Clean up workflows by
@blink1073in jupyter/nbconvert#1750New Contributors
@pre-commit-cimade their first contribution in jupyter/nbconvert#1752Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5
6.4.3
What's Changed
- Add section to
customizingshowing how to use template inheritance by@stefanvin jupyter/nbconvert#1719- Remove ipython genutils by
@rgs258in jupyter/nbconvert#1727- Update changelog for 6.4.3 by
@blink1073in jupyter/nbconvert#1728New Contributors
@stefanvmade their first contribution in jupyter/nbconvert#1719@rgs258made their first contribution in jupyter/nbconvert#1727Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3
6.4.0
What's Changed
- Optionally speed up validation by
@gwincr11in jupyter/nbconvert#1672- Adding missing div compared to JupyterLab DOM structure by
@SylvainCorlayin jupyter/nbconvert#1678- Allow passing extra args to code highlighter by
@yuvipandain jupyter/nbconvert#1683- Prevent page breaks in outputs when printing by
@SylvainCorlayin jupyter/nbconvert#1679- Add collapsers to template by
@SylvainCorlayin jupyter/nbconvert#1689- Fix recent pandoc latex tables by adding calc and array (#1536, #1566) by
@cgevansin jupyter/nbconvert#1686- Add an invalid notebook error by
@gwincr11in jupyter/nbconvert#1675- Fix typos in execute.py by
@TylerAnderson22in jupyter/nbconvert#1692- Modernize latex greek math handling (partially fixes #1673) by
@cgevansin jupyter/nbconvert#1687- Fix use of deprecated API and update test matrix by
@blink1073in jupyter/nbconvert#1696- Update nbconvert_library.ipynb by
@letterphilein jupyter/nbconvert#1695- Changelog for 6.4 by
@blink1073in jupyter/nbconvert#1697New Contributors
... (truncated)
Commits
7471b75Release 6.5.1c1943e0Fix pre-commit8685e93Fix tests0abf290Run black and prettier418d545Run test on 6.x branchbef65d7Convert input to string prior to escape HTML0818628Check input type before escapingb206470GHSL-2021-1017, GHSL-2021-1020, GHSL-2021-1021a03cbb8GHSL-2021-1026, GHSL-2021-102548fe71eGHSL-2021-1024- Additional commits viewable in compare view
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Bump mistune from 0.8.4 to 2.0.3
opened on 2022-07-29 23:31:34 by dependabot[bot]Bumps mistune from 0.8.4 to 2.0.3.
Release notes
Sourced from mistune's releases.
Version 2.0.2
Fix
escape_urlvia lepture/mistune#295Version 2.0.1
Fix XSS for image link syntax.
Version 2.0.0
First release of Mistune v2.
Version 2.0.0 RC1
In this release, we have a Security Fix for harmful links.
Version 2.0.0 Alpha 1
This is the first release of v2. An alpha version for users to have a preview of the new mistune.
Changelog
Sourced from mistune's changelog.
Changelog
Here is the full history of mistune v2.
Version 2.0.4
Released on Jul 15, 2022
- Fix
urlplugin in<a>tag- Fix
*formattingVersion 2.0.3
Released on Jun 27, 2022
- Fix
tableplugin- Security fix for CVE-2022-34749
Version 2.0.2
Released on Jan 14, 2022Fix
escape_urlVersion 2.0.1
Released on Dec 30, 2021
XSS fix for image link syntax.
Version 2.0.0
Released on Dec 5, 2021This is the first non-alpha release of mistune v2.
Version 2.0.0rc1
Released on Feb 16, 2021
Version 2.0.0a6
</tr></table>
... (truncated)
Commits
3f422f1Version bump 2.0.3a6d4321Fix asteris emphasis regex CVE-2022-347495638e46Merge pull request #307 from jieter/patch-10eba471Fix typo in guide.rst61e9337Fix table plugin76dec68Add documentation for renderer heading when TOC enabled799cd11Version bump 2.0.2babb0cfMerge pull request #295 from dairiki/bug.escape_urlfc2cd53Make mistune.util.escape_url less aggressive3e8d352Version bump 2.0.1- Additional commits viewable in compare view
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Bump lxml from 4.7.1 to 4.9.1
opened on 2022-07-06 21:19:10 by dependabot[bot]Bumps lxml from 4.7.1 to 4.9.1.
Changelog
Sourced from lxml's changelog.
4.9.1 (2022-07-01)
Bugs fixed
- A crash was resolved when using
iterwalk()(orcanonicalize()) after parsing certain incorrect input. Note thatiterwalk()can crash on valid input parsed with the same parser after failing to parse the incorrect input.4.9.0 (2022-06-01)
Bugs fixed
- GH#341: The mixin inheritance order in
lxml.htmlwas corrected. Patch by xmo-odoo.Other changes
Built with Cython 0.29.30 to adapt to changes in Python 3.11 and 3.12.
Wheels include zlib 1.2.12, libxml2 2.9.14 and libxslt 1.1.35 (libxml2 2.9.12+ and libxslt 1.1.34 on Windows).
GH#343: Windows-AArch64 build support in Visual Studio. Patch by Steve Dower.
4.8.0 (2022-02-17)
Features added
GH#337: Path-like objects are now supported throughout the API instead of just strings. Patch by Henning Janssen.
The
ElementMakernow supportsQNamevalues as tags, which always override the default namespace of the factory.Bugs fixed
- GH#338: In lxml.objectify, the XSI float annotation "nan" and "inf" were spelled in lower case, whereas XML Schema datatypes define them as "NaN" and "INF" respectively.
... (truncated)
Commits
d01872cPrevent parse failure in new test from leaking into later test runs.d65e632Prepare release of lxml 4.9.1.86368e9Fix a crash when incorrect parser input occurs together with usages of iterwa...50c2764Delete unused Travis CI config and reference in docs (GH-345)8f0bf2dTry to speed up the musllinux AArch64 build by splitting the different CPytho...b9f7074Remove debug print from test.b224e0fTry to install 'xz' in wheel builds, if available, since it's now needed to e...897ebfaUpdate macOS deployment target version from 10.14 to 10.15 since 10.14 starts...853c9e9Prepare release of 4.9.0.d3f77e6Add a test for https://bugs.launchpad.net/lxml/+bug/1965070 leaving out the a...- Additional commits viewable in compare view
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Bump numpy from 1.21.5 to 1.22.0
opened on 2022-06-22 04:54:45 by dependabot[bot]Bumps numpy from 1.21.5 to 1.22.0.
Release notes
Sourced from numpy's releases.
v1.22.0
NumPy 1.22.0 Release Notes
NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:
- Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
- A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
- New methods for
quantile,percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.- A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings
"Bytes0","Datetime64","Str0","Uint32", and"Uint64"as a dtype will now raise aTypeError.(gh-19539)
Expired deprecations for
loads,ndfromtxt, andmafromtxtin npyio
numpy.loadswas deprecated in v1.15, with the recommendation that users usepickle.loadsinstead.ndfromtxtandmafromtxtwere both deprecated in v1.17 - users should usenumpy.genfromtxtinstead with the appropriate value for theusemaskparameter.(gh-19615)
... (truncated)
Commits
4adc87dMerge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547REL: Prepare for the NumPy 1.22.0 release.125304bwipc283859Merge pull request #20682 from charris/backport-204165399c03Merge pull request #20681 from charris/backport-20954f9c45f8Merge pull request #20680 from charris/backport-20663794b36fUpdate armccompiler.pyd93b14eUpdate test_public_api.py7662c07Update init.py311ab52Update armccompiler.py- Additional commits viewable in compare view
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