spiderplot 0.1.2

Seaborn-style utility to plot spider charts

spiderplot

Python package to create 2D spider charts.

The spider chart is a type of relational graph y=f(x). The implementation is based on seaborn's lineplot() using a polar coordinate system.

Installation

The package can be installed via pip:

pip install spiderplot

Use the following commands for a quick verification of the installation.

python -c "import spiderplot; print(spiderplot.__version__)"
python -c "import spiderplot; spiderplot.demo_pair()"

Usage

Similar to seaborn functions, spiderplot accepts different data formats:

• array mode: spiderplot(x=x, y=y)
  with x, y (and other parameters) being sequences
• long-form mode: spiderplot(x=x, y=y, ..., data=data)
  with data being a DataFrame and the other parameters (x, y, hue, size, extent) being keys of data
• wide-form mode: spiderplot(data)
  with data being a DataFrame, using the following mapping:
  x are the row indices (data.index)
  y are the table values (data.values) every column of data represents a different category of the plot.

See this tutorial about data structures in seaborn for further details.

To print the help text of the function:

import spiderplot as sp
help(sp.spiderplot)
help(sp.spiderplot_facet)

See the examples for further usage information.

Basic example

import seaborn as sns
import spiderplot as sp
import matplotlib.pyplot as plt
sns.set_style("whitegrid")
# Load some demo data.
df = sp.demo.generate_data(mode="long-form", d=1)
# Create spider plot.
ax = sp.spiderplot(x="x", y="value", hue="dataset", legend=False,
                   data=df, palette="husl", rref=0)
# Adjust limits in radial direction.
ax.set_rlim([-1.4,1.4])
plt.show()

Multiple plots

df = sp.demo.generate_data_pair(mode="long-form")
sns.set_style("whitegrid")
ax = sp.spiderplot(x="x", y="value", hue="dataset", style="dataset",
                   data=df, dashes=False, palette="husl", rref=0)
ax.set_rlim([-1.4,1.4])
ax.legend(loc="upper right",
           bbox_to_anchor=(1.4, 1.),
           borderaxespad=0.)
plt.tight_layout()
plt.show()

Data aggregation

df = sp.demo.generate_data(mode="long-form", n=24, d=10)
means = df.groupby("x")["value"].mean()
stds = df.groupby("x")["value"].std()
sns.set_style("whitegrid")
ax = sp.spiderplot(y=means, extent=stds, color="red", fillcolor="gray",
                   fill=False, rref=0, label="mean ± std")
ax.set_rlim([-1.4,1.4])
ax.legend(loc="upper right",
           bbox_to_anchor=(1.4, 1.),
           borderaxespad=0.)
plt.tight_layout()
plt.show()

Requirements

Python>=3.6
numpy
pandas>=0.22
matplotlib>=3.0
seaborn>=0.9

Project setup

git clone https://github.com/hirsch-lab/spider-chart.git
cd spider-chart
pip install -r requirements.txt
# Run examples
./examples/run_all.py
# Build package
python setup.py sdist bdist_wheel