8bca9d5c97
- Switch to autosetup and pyproject macros. - Add patch support-numpy-2.patch: * Use correct constant for NaN.
Steve Kowalik2024-07-03 04:06:00 +00:00
a4baef896a
Accepting request 1158458 from devel:languages:python:numeric
Ana Guerrero2024-03-17 21:14:58 +00:00
62b1500f18
- update to 1.2.7: * Fixing warnings in new pandas version 2.2.1 * Remove string encoding for read_por * Fix read in chunks when output is dict
Dirk Mueller2024-03-16 11:54:34 +00:00
2b7f6ea5c5
Accepting request 1137826 from devel:languages:python:numeric
Ana Guerrero2024-01-10 20:52:15 +00:00
654fe219f2
- update to 1.2.6: * correcting bug when writing files with character columns with all missing, character length set to 1 * Correcting bug for datetime64[us * Added modification_time and creation_time to metadata * added datetime64[us in addition to ns for improvement when writing. * changes introduced for compatibility with cython 3.0.0. * added num_rows to multiprocessing to allow processing of xport, * Using os.fsencode when reading file paths to support file system file labels, reading newer por files date-like columns, and few * fixed sharing permissions when reading files on windows, - Updates for 1.0.2 * Updated default widths for DATE and DATETIME formats (from Readstat src). That make the files readable both in SPSS - Updates for 1.0.1
Dirk Mueller2024-01-09 22:06:29 +00:00
bccde0adba
Accepting request 1108781 from devel:languages:python:numeric
Ana Guerrero2023-09-04 20:53:10 +00:00
fd0f3188d9
Accepting request 1108270 from home:mcalabkova:branches:devel:languages:python:numeric
Dirk Mueller2023-09-04 07:31:13 +00:00
b996ea8a5e
- update to 1.2.1: * Readstat source updated to version 1.1.9 * introduced recognition for pandas datatype datetime64[ns, UTC] and other datetime64 types when writing, so that this column type gets correctly written as datetime * introduced extra_datetime_formats and extra_date_formats arguments for read functions, cleaned the list of sas date, datetime and time formats to exclude those not directly convertible to python objects * improved performace of writer when there are datetime64 columns
Dirk Mueller2023-03-13 08:45:28 +00:00
7ae359df60
- Update to 1.2.0: * added pyproject.toml * Updated Readstat code to Release 1.1.8 * Solved issue with duplicated columns, #188 * new parameter output_type to switch between returning a pandas dataframe or a dict of numpy arrays, partial solution for #184 * Implemented row_compression for writing sav files, solves #185 * Added new date formats for SAS and SPSS solves #170, #171 * Added check missing_range type against variable type solves #180 * Removed np.float, solves #160Steve Kowalik2023-02-13 04:55:29 +00:00
770bf8ea8d
- update to 1.1.4: * Included new pandas datatypes Float32Dtype and Float64Dtype when writing. * Forcing cythonization when installing from source # Updated Readstat source to version 1.1.17 * Improved error when reading dates and finding a string * repaired not reading correctly metadata with multiprocessing # correction when reading file paths in python <3.7 * Using os.fsencode when reading file paths to support file system encoding and Path-like objects * Updated Readstat source to version 1.1.6 * Accepting dict as the column_label parameter for writing functions
Dirk Mueller2022-02-16 10:37:24 +00:00
493975fdb6
- Update to 1.1.0: * added meta.readstat_variable_types to track the type of binary variable in the original file. * Adding better error message for not accepting certain files types in multiprocessing, solves #105 * Fixing #106 writing failing when row 0 is removed from dataframe. * Removing numpy deprecated objects solves #107. * Adding support for pathlib.Path, soves #110. * fixing order of categories * Added formats_as_ordered_category to get an ordered category. * Added value_formats in order to be able to set the variable format when writing. - Do not build on Python 3.6, due to no NumPy.
Steve Kowalik2021-04-19 08:44:47 +00:00
Ana Guerrero
Steve Kowalik
Dirk Mueller
Dominique Leuenberger
Markéta Machová
Tomáš Chvátal
Yuchen Lin
Todd R