Release Notes¶

Version 0.1.4 (beta)¶

Paxplot now includes another testing dataset from contributor Nele Reyniers. Here is how to access it as a Pandas DataFrame:

import paxplot
import pandas as pd
df = pd.read_csv(paxplot.hydroclimate_model_evaluation())

Version 0.1.3 (beta)¶

Paxplot’s testing now follows more standard procedures in that it uses an install of paxplot rather than relative imports. Contributors should now use pip install --editable . to ensure they are referencing their development installs rather than a previously downloaded install. See the Paxplot’s actions page for the continous integration tests.

Version 0.1.2 (beta)¶

Multiple Plotting Calls¶

Paxplot can now call multiple calls to plot(). This allows users to plot individual lines or sets of lines, opening up the ability to combine functionality. See here for an example of combining the ability to plot one set of data with a colorbar and another set in a neutral grey color.

import matplotlib.pyplot as plt
import paxplot

paxfig = paxplot.pax_parallel(n_axes=3)
paxfig.plot(
    [
        [0, 0, 0],
        [1, 1, 1]
    ]
)
paxfig.plot([[2, 2, 2]])

plt.show()

Handling String Data¶

Thanks to your feature requests, Paxplot can now handle string data. Keep the feature requests coming!

import matplotlib.pyplot as plt
import pandas as pd
import paxplot

# Data
df = pd.DataFrame(
    {
        'J': ['A', 'A', 'A', 'B', 'B'],
        'K': [0, 1, 2, 3, 4]
    }
)
cols = df.columns

# Create figure
paxfig = paxplot.pax_parallel(n_axes=len(cols))
paxfig.plot(df.to_numpy())

plt.show()

Specify Line Keyword Arguments¶

Line keyword arguments can also be specified with each plot call. This allows users to access much more of Matplotlib functionality.

import matplotlib.pyplot as plt
import paxplot

paxfig = paxplot.pax_parallel(n_axes=3)
paxfig.plot(
    [
        [0, 0, 0],
        [1, 1, 1]
    ],
    line_kwargs={'color': 'green'}
)

plt.show()

Backend Improvements¶

Much of Paxplot’s backend has been refactored to be both more efficient and readable. Specifically, this release worked to separate the “frontend” rendering commands from the “backend” data conversion processes.

Citation Information¶

Citation information for Paxplot can now be found on the Github page.

Website Improvements¶

Paxplot’s website has also been expanded. In this release, an “examples” tab encompasses multiple common workflows. As is probably obvious from reading this page, we are now doing release notes.

Please reach out with your issues and feature requests. If you are interested in contributing Paxplot, please contact Jacob Kravits.

API Reference