- Added
sklearn_utilities
. - Improved tests customization in
du.test
. - Greatly improved documentation to
matplotlib_utilities
. - Greatly expanded
pandas_utilities
functions. - Improved tests as a whole.
-
Greatly improved
matplotlib_utilities
module. -
Removed dependency with
unidecode
module. -
tests: enabled parametrized tests invocations such as:
python3 -c "import data_utilities as du; du.test(label='fast')"
python3 -c "import data_utilities as du; du.test(N=500)"
-
Add a test for the
test_support
file itself.
- Other
- Stable version uploaded to pypi
- Other
- Development versions uploaded to pypi
- Other
- Stable version uploaded to pypi
- Other
- Development versions uploaded to pypi
- Other
- Added package to PyPA as
data_utilities
- Added a test method to the package:
python3 -c
import data_utilities as du; du.test()
- Added package to PyPA as
-
Improved
histogram_of_dataframe
function: added a textbox with summary statistics. -
Added a function to scale axes axis (
scale_axes_axis
). -
Added a colorbar argument to
plot_3d
. -
Label containers now return a list of matplotlib Text objects.
-
Added a boolean column to
dummy_dataframe
. -
Added a test module for other libraries:
matplotlib_utilities
andpython_utilities
. -
Cleaned up the code.
- Incompatible changes: the two utility functions to create dummy dataframes now use a keyword argument 'shape' instead of 'n' or 'rows' and 'columns' to resemble the numpy interface.
-
Added a convenience function (
statistical_distributions_dataframe
) of variable size initialized with some common statistical distributions. -
Added a test module which allows parametrized tests via the
TestMetaClass
. -
Added a test module for the
find_components_of_array
function.
- First commit.