matplotlib - Multicolor labels of axes

The following plot_utils.py file contains function set_yaxis_label() that allows the user set up color of labels vertical axes. This function was developed under matplotlib package.

For correct displaying labels and graphs, it is recommended usage of parameter figsize=(..., ...) inside plt.figure() and x_corr or y_corr.

Arguments

Property	Value Type	Description	Notes
label	[ 'line' | 'rows' | 'cols' ]	mode of displaying axis labels	valid for 'rows' are ha and va, valid for 'cols' is only va
axis	[ 'ax1' | 'ax2' ]	left/right axis y
ha	[ 'left' | 'center' | 'right' ]	horizontal alignment of labels
va	[ 'top' | 'bottom' ]	vertical alignment of labels
sep	string	separator between labels	valid only for label='line'
size	size in points	font size of labels
x_corr	float	position of labels	correction of position
y_corr	float	position of labels	correction of position
space_between_text	real positive number	means between labels

Usage

import matplotlib.pyplot as plt
import numpy as np

from plot_utils import set_yaxis_label

fig = plt.figure(figsize=(8,5))
ax = fig.add_subplot(111)

x = np.linspace(0,5,100)
y1 = ...
...
yN = ...

text = ['Label 1', ..., 'Label N']
color = ['#1F77B4', ..., '#47AC47']

ax.plot(x, y1, color=color[0])
...
ax.plot(x, yN, color=color[N])

plt.title('...')
plt.xlabel('...')

# The properties below are default.
set_yaxis_label(
    text,
    color,
    label='line',
    axis='ax1',
    ha='center',
    va='bottom',
    sep=', ',
    size=12,
    x_corr=0.0,
    y_corr=0.0,
    space_between_text = 0.005
)

Examples

Data taken from LMFIT.

Data taken from LMFIT.

TODO

• multicolor labels of one vertical axis
• multicolor labels of two vertical axes
• multicolor labels of axis X

License