Pin pandas-gbq to latest version 0.4.1

[pyup-bot]

This PR pins pandas-gbq to the latest release 0.4.1.

Changelog

0.4.0

- Fix bug in `read_gbq` when building a dataframe with integer columns on Windows. Explicitly use 64bit integers when converting from BQ types. (119)
- Fix bug in `read_gbq` when querying for an array of floats (123)
- Fix bug in `read_gbq` with configuration argument. Updates read_gbq to account for breaking change in the way google-cloud-python version 0.32.0+ handles query configuration API representation. (152)
- Fix bug in `to_gbq` where seconds were discarded in timestamp columns. (148)
- Fix bug in `to_gbq` when supplying a user-defined schema (150)
- **Deprecate** the `verbose` parameter in `read_gbq` and `to_gbq`. Messages use the logging module instead of printing progress directly to standard output. (12)

0.3.1

[PyPI release](https://pypi.org/project/pandas-gbq/0.3.1/), [Conda Forge release](https://anaconda.org/conda-forge/pandas-gbq/files?version=0.3.1)

- Fix an issue where Unicode couldn't be uploaded in Python 2 ([issue 106](https://github.com/pydata/pandas-gbq/issues/106))
- Add support for a passed schema in :func:``to_gbq`` instead inferring the schema from the passed ``DataFrame`` with ``DataFrame.dtypes`` ([issue 46](https://github.com/pydata/pandas-gbq/issues/46))
- Fix an issue where a dataframe containing both integer and floating point columns could not be uploaded with ``to_gbq`` ([issue 116](https://github.com/pydata/pandas-gbq/issues/116))
- ``to_gbq`` now uses ``to_csv`` to avoid manually looping over rows in a dataframe (should result in faster table uploads) ([issue 96](https://github.com/pydata/pandas-gbq/issues/))

0.3.0

[PyPI release](https://pypi.org/project/pandas-gbq/0.3.0/), [Conda Forge release](https://anaconda.org/conda-forge/pandas-gbq/files?version=0.3.0)

- Use the [`google-cloud-bigquery`](https://googlecloudplatform.github.io/google-cloud-python/latest/bigquery/usage.html) library for API calls. The ``google-cloud-bigquery`` package is a new dependency, and dependencies on ``google-api-python-client`` and ``httplib2`` are removed. See the [installation guide](https://pandas-gbq.readthedocs.io/en/latest/install.htmldependencies) for more details.  (93)
- Structs and arrays are now named properly (23) and BigQuery functions like ``array_agg`` no longer run into errors during type conversion (22 ).
- :func:`to_gbq` now uses a load job instead of the streaming API. Remove ``StreamingInsertError`` class, as it is no longer used by :func:`to_gbq`. (7, 75 )

Links

• PyPI: https://pypi.org/project/pandas-gbq
• Changelog: https://pyup.io/changelogs/pandas-gbq/
• Repo: https://github.com/pydata/pandas-gbq

[tnir]

looks too old...