- Drop Python 3.5 support
- Update documentation
- Removes unused test directory
- Switch base URL from www.quandl.com to data.nasdaq.com
- Add documentation/tests for supporting Point In Time datetime values
- Add access to Point in Time API.
- Support passing a pandas Series to
get_table
- Adjust the max length limit for GET request URL.
- Removes pointless print statements from datatable model.
Drop support for Python 2 and Python < 3.5. See here for more info.
-
This version is the last
quandl
version to support Python 2 or < 3.5. All futurequandl
package releases will only support Python >= 3.5.If you're still using Python 2 or < 3.5, you'll need to stay at this version.
If you're using Python >= 3.5, its recommended you perform a
pip install --upgrade quandl
to grab the newest version.
- Add config to verify SSL certs. Verification on by default. (#135)
- Fix typo in invalid database code message (#128)
- Use six.moves instead of try/catch on imports (#129)
- Add classifiers metadata to setup.py (#132)
- Update how we find local api key file (#131)
- Use POST requests for some datatable calls quandl#126
- Add functionality to automatically retry failed API calls quandl#124
- Allow for exporting of datatables quandl#120
- Add support to save/read api key from file (#117)
- Remove dependency on unittest2, use unittest instead (#113)
- Fix typos in our warning messages quandl#114
- Include all documentation and test file in source distribution (sdist) tarballs
- When returning a list of data, in a Python friendly format, convert datetime64 to datetime
- Numpy no longer supports Python v3.3, thus we are removing support for it
- Unlock the version of requests to allow use with other modern packages
- Provide a more actionable warning when asking for data over 1M rows
-
Add test support for python 3.6.
-
Raise error when over 1000000 rows when fetching tables with paginate
-
Pandas fix for newer pandas version.
-
Bug fixes
- Bug: support column with a name 'code'
- Handle unexpected errors
- Datatables for developers
- Datatables for analysts
- Backwards compatibility
- Documentation updates