Python implementation of the Density Line Chart by Moritz & Fisher.

Related tags

Data Visualizationtimeseriesdensity-estimationsequential-datadatavisualization
Overview

PyDLC - Density Line Charts with Python

Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time series.

Installation

Python Package Index

$ pip install pydlc

Requirements

Usage

The following example shows how to import and use the dense_lines plotting function.

import numpy as np
import matplotlib.pyplot as plt
from pydlc import dense_lines

# Generate random synthetic time series
x = np.linspace(0, 100, 50)
ys = []
for _ in range(1000):
    ys.append(3 + 1.5*np.random.randn(1)*np.exp(-x/100))

# Plot here
fig, axs = plt.subplots(1, 2, figsize=(8, 3), sharey=True, sharex=True)
axs[0].plot(x, np.array(ys).T, lw=1)
axs[0].set_title('Line Chart')
im = dense_lines(ys, x=x, ax=axs[1], cmap='magma')  # accepts plt.imshow() kwargs
axs[1].set_title('Density Lines Chart')
fig.colorbar(im)
fig.tight_layout()
plt.show()

Limitations

The vertical grid size can be adjusted with the ny parameter. Higher values of ny yield a smoother density visualization. However, the horizontal grid size is currently limited to the same size as the input sequences and there is no parameter to adjust it (yet).

Algorithm

This graphical abstract explains the algorithm (source).

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