Question
stringlengths 41
206
| Response
stringlengths 1
374
|
|---|---|
What fixture should be used when writing tests that can be shared to evaluate the behavior of DataFrame, Series, Index, and ExtensionArray in PyData?
|
box_with_array fixture
|
What is the primary type of data that pandas is designed to handle?
|
Tabular data.
|
What is the primary communication channel for reporting bugs and requesting features within the pandas contributor community?
|
GitHub issue tracker.
|
What library is mentioned for property-based testing that finds a minimal counterexample to assertions?
|
Hypothesis
|
Where should a test for a pandas DataFrame I/O method be located in the test suite?
|
tests.io
|
What directive should be used in documentation to specify the version in which a new feature was added in PyData version 2.2.3?
|
.. versionadded:: 2.2.3
|
Which pydata version introduced the logical reductions over an entire DataFrame?
|
0.23.2
|
Which version introduced support for non-unique indexes in the software mentioned in the reference?
|
Version 0.8.0
|
Which version introduced logical reductions over an entire DataFrame?
|
0.23.2
|
What pandas method is used to reshape data from a wide format to a long and tidy one?
|
melt()
|
What library does pandas use for creating plots by default?
|
Matplotlib
|
What tool was used to create the 1.5.2 documentation for the pandas library?
|
Sphinx 4.5.0
|
What is the main benefit of hierarchical axis indexing in the context of pandas?
|
Intuitive handling of high-dimensional data in a lower-dimensional structure.
|
What is a recommended label for GitHub issues suitable for newer contributors in the pandas project?
|
good first issue
|
Who leads the Infrastructure workgroup responsible for maintaining the pandas infrastructure?
|
William Ayd
|
What is the equivalent of a pandas `DataFrame` in STATA and SAS statistical software suites?
|
Data set
|
What script is used to validate doctests, formatting in docstrings, and imported modules in pandas development?
|
./ci/code_checks.sh
|
What functionality does the pandas User Guide suggest new users start with to gain a high-level understanding of pandas fundamentals?
|
Intro to data structures, Essential basic functionality
|
What is the function of the `-k` option when running pytest for pandas tests?
|
Selects tests by substring matching on their names.
|
What is the primary goal of pandas as it relates to data analysis in Python?
|
To be the fundamental high-level building block for doing practical, real-world data analysis in Python.
|
What fixture is recommended to mock network interactions in a unit test to prevent flakiness due to public internet access, specifically in the context of the pydata libraries?
|
httpserver fixture from the pytest-localserver plugin
|
What option should be added to an asv benchmark command to use virtualenv instead of conda?
|
-E virtualenv
|
What command does the document specify for running a subset of tests in a specific pandas test module using a regex pattern?
|
pytest pandas/path/to/test.py -k regex_matching_test_name
|
In what section does the extended summary of a function's documentation provide details, but not go into parameter details?
|
extended summary
|
How does the `case_sensitive` parameter affect the behavior of the `contains` method in a pandas Series when searching for a lowercase character pattern?
|
Setting `case_sensitive` to `False` allows the `contains` method to match the pattern regardless of letter case.
|
What are the essential purposes of the GitHub issue tracker in the pandas contributor community?
|
- Report bugs
- Request features
- Request documentation improvements
- Ask questions about pandas behavior
- Discuss ongoing development and project roadmap
|
What type of structure does pandas use to handle tabular data?
|
DataFrame
|
What tool was used to create the pandas documentation for version 2.1.4?
|
Sphinx 6.2.1
|
What directive should be used in Sphinx documentation to indicate a feature was added in version 2.1.0 of pandas?
|
.. versionadded:: 2.1.0
|
What is the preferred testing method for inputs with simple logic in the context of pandas testing?
|
Parametrized tests with pytest.
|
What parameter can be used to replace missing values in a method that checks for pattern presence in strings in pandas?
|
na
|
What is the primary purpose of creating a "py.typed" file in the pandas installation folder?
|
To signal to type checkers that pandas is a py.typed library.
|
What pandas utility should be used to import optional dependencies to ensure consistent error messaging when the dependency is not met?
|
pandas.compat._optional.import_optional_dependency
|
What is the function of the `markers` list defined under `[tool.pytest.ini_options]`?
|
To define custom test markers in pytest.
|
What flag should be used with the `asv continuous` command to run benchmarks using virtualenv instead of the default conda?
|
-E virtualenv
|
Where should a test for `Series.__getitem__` that internally calls `Series.loc.__getitem__` be located?
|
tests.indexing.test_loc
|
What is the recommended method in Pydata version 1.1.0 for indicating that a function is deprecated when there are no direct replacement functions with identical arguments?
|
Manually add a deprecation warning using `warnings.warn`.
|
What is one of the main intended purposes of the Slack platform for the pandas contributor community?
|
For questions about contributing to pandas.
|
What module should you refer to for commonly used pandas-specific types, such as `Dtype`, in order to facilitate type checking and maintainability?
|
pandas._typing
|
What practice is strongly discouraged in type inference when using pandas, and what is the recommended alternative?
|
The use of `cast` from the typing module is strongly discouraged. The recommended alternative is to refactor the code to appease static analysis.
|
Where should a test for a DataFrame method that involves multiple indexing methods and calls Series.loc.__getitem__ be placed in a PyData v1.5.0 testing framework?
|
tests.indexing.test_loc
|
What is the purpose of the `read_*` prefix in pandas when dealing with data sources?
|
Import data from various data sources.
|
What type of data does pandas provide tools for, apart from numerical data, according to the tutorial references?
|
Time series data and textual data.
|
What is the strongly discouraged technique for bypassing type inference limitations when using custom inference functions in the current pydata version?
|
cast
|
What is the recommended approach for handling class variables that shadow built-in names in pandas type annotations?
|
Create an unambiguous alias of the built-in name and use that alias in your annotation.
|
What is the preferred method to ignore a warning that is not relevant to a test or is due to matching a third-party library’s behavior in pytest?
|
pytest.mark.filterwarnings
|
What type of data type is specifically mentioned in the context of being nullable within the user guide?
|
Nullable integer data type
|
What must you do to ensure your local feature branch is updated with the latest changes from the pandas main branch?
|
Fetch and merge changes from the upstream main branch into your local main branch, then rebase your feature branch onto the updated main branch.
|
What flag allows you to skip tests that require a database in pydata development testing?
|
`-m "not db"`
|
Which version first introduced compatibility with Python 3.13?
|
2.2.3
|
What library is used in property-based testing to generate minimal counterexamples for assertions in Python?
|
Hypothesis
|
What is the preferred name for a single DataFrame when illustrating examples in Python docstrings using pandas?
|
df
|
What feature introduced in pandas 2.0 is expected to become the default in pandas 3.0, enhancing workflows with a breaking change?
|
Copy-on-Write (CoW) mode.
|
What API changes were related to integer indexing in Version 0.7.0 released in February 2012?
|
API changes to integer indexing.
|
What directive is used in Sphinx to indicate when a new feature was added in a specific PyData version?
|
.. versionadded::
|
Which guide provides information on correcting typographical errors and enhancing existing functionalities in the Pandas library?
|
Developer guide
|
What is the release date of the latest pandas version 2.2.3?
|
Sep 20, 2024
|
What should be included in a test if an optional dependency is not found when using `pandas`?
|
An `ImportError` test, skipped if the library is present.
|
What is the function of the `-n` flag when using pytest-xdist with the pandas-dev environment?
|
Parallelize a test run across the specified number of cores or use `auto` to utilize all available cores.
|
What feature in pandas allows for advanced indexing with multiple levels of labels?
|
MultiIndex
|
What guides new users through pandas' fundamental operations and structures with a focus on rapid learning?
|
10 minutes to pandas
|
What PyData version included performance improvements in a release dated before April 2023?
|
1.5.0
|
What prefix is used in pandas functions for importing data from various sources such as CSV or Excel?
|
read_*
|
What method prefix does pandas use to save data to different file formats, such as CSV or JSON?
|
to_*
|
Which subpackage in pandas provides functions and classes specifically for rolling window indexers?
|
pandas.api.indexers
|
What specific submodule in pandas is identified as potentially having unstable APIs, and where stable functionality is not guaranteed?
|
`pandas.core`, `pandas.compat`
|
Which submodule in the pandas API is intended for functions and classes related to rolling window indexers?
|
pandas.api.indexers
|
What subpackage in the pandas API is used for classes and functions related to datatype operations?
|
pandas.api.types
|
In which two specific communication channels do pandas maintainers and contributors primarily conduct long-form conversations?
|
GitHub issue tracker, developer mailing list
|
How often are the pandas Community Meetings held each month, and who is welcome to attend?
|
Twice; everyone is welcome.
|
What is the preferred assertion method for comparing DataFrame results in pytest according to the pydata framework?
|
tm.assert_frame_equal(result, expected)
|
What is the preferred way to handle tests in pytest that are known to fail due to unimplemented features or buggy behavior in pydata?
|
`@pytest.mark.xfail`
|
What library is used for property-based testing in the PyData framework, as described in the reference document?
|
Hypothesis
|
What library is recommended for property-based testing, allowing for the description of all valid inputs and identifying a minimal counterexample?
|
Hypothesis
|
What testing framework does the document recommend for preferred idioms in testing Series and DataFrame methods?
|
pytest
|
What version introduced backwards incompatible API changes along with enhancements on both August 30, 2023, and September 19, 2022?
|
2.1.0 and 1.5.0
|
What command should be used to stage files that have been updated after resolving merge conflicts in a Git workflow?
|
git add -u
|
What functionality does adding an empty "py.typed" file to the pandas installation folder signal to type checkers?
|
It signals that pandas is a py.typed library.
|
What should you ensure to improve the chances of your pull request being reviewed, regarding testing and complexity?
|
Ensure you have appropriate tests and keep your pull requests as simple as possible.
|
How can you ensure your pull request has a higher chance of being reviewed successfully according to the pandas version 2.2.3 guidelines?
|
- Reference an open issue
- Ensure appropriate tests
- Keep pull requests simple
- Ensure CI is green
- Keep updating the pull request
|
What must be created in the pandas installation folder to signal that pandas is a py.typed library?
|
py.typed
|
What command is recommended to ensure consistency in type hints after making changes to a pandas project, assuming the local environment matches the pandas CI environment?
|
pre-commit
|
Which version of pandas first became compatible with Python 3.13?
|
2.2.3
|
What is required to resolve merge conflicts when updating a feature branch in a pandas development environment?
|
Resolve conflicts, stage updates with `git add -u`, commit changes with `git commit`.
|
What upcoming major version of pandas is mentioned to possibly have backwards incompatible API changes?
|
3.0
|
What is the recommended approach in MyPy for handling cases where type inference cannot automatically resolve types without using `cast`?
|
Refactor the code to appease static analysis without using `cast`.
|
What flag should be used with pytest to display a short summary of skipped, xfailed, and xpassed tests?
|
-r
|
What is the strongly discouraged practice when attempting to guide the `mypy` analyzer in type inference, particularly when using custom inference functions?
|
Using `cast` from the typing module.
|
Which marker must be present in the pytest configuration to identify tests that take a long time to execute specifically on the arm64 architecture?
|
arm_slow
|
What file should be created in the pandas installation folder to signal type checkers that pandas is a py.typed library?
|
py.typed
|
Which statistical software suite mentioned suggests that many vectorized operations have similar functions in pandas?
|
SAS
|
What type of license does the pandas library use?
|
BSD License
|
What organization is associated with hosting the pandas documentation version 2.2.3?
|
OVHcloud
|
What is strongly discouraged when attempting static analysis compatibility in Python code involving type inference?
|
The use of `cast`.
|
What is the statistical software suite that includes a data set equivalent to a pandas DataFrame, along with similar functions for vectorized operations and string processing?
|
SAS
|
Which specific testing technique should be used in pydata version 3.6.2 to ensure a temporary file is automatically deleted after a test involving file operations?
|
tm.ensure_clean
|
What environment is needed to run benchmarks using asv in the pandas library?
|
conda or virtualenv
|
Which testing method should be used in pydata version 3.6.2 to verify the correct exception type and error message is raised due to invalid user arguments?
|
pytest.raises
|
Which marker in pytest selectively skips tests that require network connectivity when running tests in the pandas environment?
|
network
|
Which version introduced support for non-unique indexes?
|
Version 0.8.0
|
End of preview. Expand
in Data Studio
Samples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: pydata
Data Source Link: https://pandas.pydata.org/docs/user_guide/index.html
Data Source License: https://github.com/pydata/pydata-sphinx-theme/blob/main/LICENSE
Data Source Authors: pydata-sphinx-theme
AI Benchmarks by Data Agents. 2025 RELAI.AI. Licensed under CC BY 4.0. Source: https://relai.ai
- Downloads last month
- 39