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).
1.2k Feb 18, 2021
299 Feb 13, 2021
3 Jul 2, 2022
0 Jun 25, 2022
2 Apr 13, 2022
50 Dec 30, 2022
46 Dec 16, 2022
1.7k Jan 9, 2023
169 Dec 21, 2022
1 Nov 17, 2021
1 Aug 04, 2021
9 Nov 03, 2022
3 Jul 15, 2022
22 Oct 31, 2022
1 Jan 31, 2022
432 Dec 30, 2022
723 Jan 07, 2023
0 Jan 12, 2022
4 Apr 04, 2022
56 Nov 17, 2022
205 Jan 07, 2023
336 Dec 20, 2022
3.4k Dec 30, 2022
162 Dec 05, 2022
1 Oct 07, 2021
487 Jan 08, 2023
48 Dec 05, 2022