dataplot 0.1.8

Provides plotting tools useful in datascience.

dataplot

Provides plotting tools useful in datascience.

Installation

$ pip install dataplot

Requirements

validating
lazyr
loggings
matplotlib
numpy
pandas
scipy
seaborn

See Also

Github repository

• https://github.com/Chitaoji/dataplot/

PyPI project

• https://pypi.org/project/dataplot/

License

This project falls under the BSD 3-Clause License.

History

v0.1.8

• Improved naming inference in dp.data(...) when decorators from validating are involved.
• Refined module exports around artist helpers to make wildcard-style artist imports behave consistently.
• Refactored plot-setting fallback behavior to use dp.defaults as the global source of defaults.
• Enhanced get_setting(...) (including overload/type-hint coverage) so default values align with the corresponding setting types, and dict defaults are handled more safely.
• Removed legacy set_default() usage and simplified setting application paths across artists/containers.
• Added dependency loggings and updated warning emission in figure setting flows.

v0.1.7

• dp.data(...) can accept PlotDataSet objects now.
• FigWrapper.__enter__() now returns a copy safely via _entered_copy.
• Internal maintenance and stability refinements.

v0.1.6

• New method PlotDataSet.scatter() to draw true scatter charts while keeping PlotDataSet.plot() as line chart behavior.
• Improved automatic label inference for dp.data(...), plotting labels, and x-axis labels in interactive contexts.
• Plot builders now use deferred drawing; removed dp.show() and improved axis/figure rendering in object representations.
• Refined rendering stability with fixes for empty-axis cleanup and figure re-rendering in FigWrapper.__repr__.
• Updated minimum required Python version to >=3.13.

v0.1.5

• Fixed issue: unworking figure settings in the artist methods.

v0.1.4

• Fixed issue: incorrectly displayed histogram statistics when the x-label had been modified by the user.

v0.1.3

• Allowed users to set the plot-settings by kwargs in artist methods like PlotDataSet.hist(), PlotDataSet.plot(), etc.
• New operation methods PlotDataSet.signedpow() and PlotDataSet.log10().
• Renamed PlotDataSet.signlog() to .signedlog(); renamed PlotDataSet.opclear() to .undo_all(); removed PlotDataSet.opclear_records_only().
• New optional parameter format_label= for PlotDataSet.set_plot() to decide whether to format the label when painting on the axes.
• When defining the data classes, used dataclasses instead of attrs for a faster import.

v0.1.2

• New methods PlotDataSet.corrmap(), PlotDataSet.ppplot(), and PlotDataSet.resample().
• New optional parameter fmt= for PlotDataSet.plot(), PlotDataSet.qqplot(), PlotDataSet.ppplot(), and PlotDataSet.ksplot().
• Bugfix.

v0.1.1

• New module-level function dp.show().
• New methods PlotDataSet.qqplot(), PlotDataSet.ksplot() and PlotDataSet.abs().
• All the plotting method (e.g., .hist()) will now return an Artist object instead of None.
• New plot settings: grid and grid_alpha.
• Parameters of FigWrapper.set_figure(), AxesWrapper.set_axes() and PlotDataSet.set_plot() are keyword-only now.
• The returns of .set_figure() and .set_axes() will be None (instead of self) to avoid misunderstandings.
• New optional parameter inplace= for PlotDataSet.set_plot() to decide whether the changes will happen in-place (which is the only option before) or in a new copy.
• Parameter ticks= for PlotDataSet.plot() can be set to a PlotDataSet object now.

v0.1.0

• PlotDataSet now supports binary operations including +, -, *, /, and **.
• New methods FigWrapper.set_figure() and AxesWrapper.set_axes() - use them instead of *.set_plot().
• Simplified the usage of AxesWrapper.
• New plot settings: subplots_adjust=, fontdict= and dpi=.
• After this version, the required Python version is updated to >=3.11.9. Download and install v0.0.2 if the user is under lower Python version (>=3.8.13).

v0.0.2

• Updated the meta-data.

v0.0.1

• Initial release.