prettierplot

"prettierplot is a Python library that makes it easy to create high-quality, polished data visualizations with minimal code."

Installation

pip install prettierplot

Example(s)

from prettierplot.plotter import PrettierPlot
from prettierplot import data
import numpy as np

df = data.attrition()

# capture unique EmployeeField values and frequency counts
unique_vals, unique_counts = np.unique(
    df[df["EducationField"].notnull()]["EducationField"], return_counts=True
)

# create plotting instance
p = PrettierPlot(chart_scale=10)

# create Axes object and decorate
ax = p.make_canvas(title="Educational field category counts", y_label="Category counts", y_shift=0.47)

# add plots
p.bar_v(
    x=unique_vals,
    counts=unique_counts,
    label_rotate=45,
    x_tick_wrap=True
)