Creating Line Plot with Diverging Coloring

Question

I'm trying to create a line plot with a diverging colormap, and I'm facing some challenges.

My goal is to produce a line plot that effectively visualizes data using a diverging colormap. However, despite my best efforts, I'm still grappling with the implementation.

Here's what I've attempted:

1. I've imported the necessary libraries (e.g., Matplotlib, Seaborn).
2. I've prepared my data for the line plot.
3. I've set up the basic line plot structure.

In explaining in a simple way, I have two columns data-frame, one is date(x-axis), other is y-axis values, I want to create a line plot, it should look like the below attached picture, the diverging color according to values.

But I'm struggling to apply a diverging colormap to the plot. I've tried different approaches, but I'm not getting the results I want.

If you have experience with creating line plots with diverging colormaps in Python, I'd greatly appreciate your insights and advice!

I want the output graph looks like this attached graph in the picture.

Answer 1

in matplotlib you can't draw multicolor line using standart plot method, instead you can use LineCollection with segments

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib.colors import Normalize


x = np.linspace(0, 10, 100)
y = np.sin(x)

colors = np.array(y)

cmap = cm.get_cmap('RdBu')

norm = Normalize(min(y), max(y))

points = np.array([x, y]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
lc = LineCollection(segments, cmap=cmap, norm=norm)
lc.set_array(colors)

# plot
fig, ax = plt.subplots()
ax.set_ylim(min(y), 1.05 * max(y))
ax.set_xlim(min(x), 1.05 * max(x))
ax.add_collection(lc)
plt.show()