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The idea is that we read the Excel file, get the data, and then let the TextParser handle the reading and parsing. We shouldn't be doing a lot of work that is already defined in parsers.py In doing so, we identified several bugs: * index_col=None was not being respected * usecols behavior was inconsistent with that of read_csv for list of strings and callable inputs * usecols was not being validated as proper Excel column names when passed as a string. Closes gh-18273. Closes gh-20480.
With jagged CSV's, we risk being too quick to dump memory that we need to allocate because previous chunks would have indicated much larger rows than we can anticipate in subsequent chunks. Closes gh-23509.
* Adding validation of the section order in docstrings * Updating allowed sections
Closes #22215 SparseArray.take not accepting scalars is already in 0.24.0.txt
* BUG: Identify SparseDataFrame as sparse The is_sparse function checks to see if an array-like is spare by checking to see if it is an instance of ABCSparseArray or ABCSparseSeries. This commit adds ABCSparseDataFrame to that list -- so it can detect that a DataFrame (which is an array-like object) is sparse. Added a test for this. * Revert "BUG: Identify SparseDataFrame as sparse" This reverts commit 10dffd1. The previous commit's change was not necessary. Will add a docstring to clarify the behaviour of the method. * DOC: Revise is_sparce docstring Clean up the docstring for is_sparse so it confirms to the documentation style guide. Add additional examples and clarify that is_sparse expect a 1-dimensional array-like. * DOC: Adjust is_sparse docstring. Responding to pull request comments.
* TST: run setitem tests for IntegerArray * doc-string
* Making ci/run_tests.sh fail if one of the steps fail * Fixing the pytest error when no tests are found for single and slow * Fixing error when uploading the coverage
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git diff upstream/master -u -- "*.py" | flake8 --diff