dataplot 0.1.3

Provides plotting tools useful in datascience.

dataplot

Provides plotting tools useful in datascience.

Installation

$ pip install dataplot

Requirements

hintwith>=0.1.3
lazyr>=0.0.16
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

v0.1.3

• Allowed users to set the plot-settings by kwargs in artist methods like PlotDataSet.hist(), PlotDataSet.plot(), etc.
• New operation methods PlotDataSet.signedpow(), 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.