I'm using matplotlib 3.4.3, ubuntu 20.04, and Python 3.8 .I'm trying to change the label color with multicolors, but it shows black color without giving any error. I have installed all packages and

CodePudding user response：

This appears to be a known issue with many of the matplotlib backends. For example, see here:

Note: tested on python 3.7.10, matplotlib 3.4.2, MacOS 10.15.7

CodePudding user response：

The answers by

import pandas as pd
from matplotlib import pyplot as plt
from matplotlib.transforms import Affine2D
import os
cwd = os.path.dirname(__file__)

def rainbow_text(x, y, strings, colors, orientation='vertical',
                 ax=None, **kwargs):
    if ax is None:
        ax = plt.gca()
    t = ax.transData
    canvas = ax.figure.canvas

    assert orientation in ['horizontal', 'vertical']
    if orientation == 'vertical':
        kwargs.update(rotation=90, verticalalignment='bottom')

    for s, c in zip(strings, colors):
        text = ax.text(x, y, s   " ", color=c, transform=t, **kwargs)

        # Need to draw to update the text position.
        text.draw(canvas.get_renderer())
        ex = text.get_window_extent()
        if orientation == 'horizontal':
            t = text.get_transform()   Affine2D().translate(ex.width, 0)
        else:
            t = text.get_transform()   Affine2D().translate(0, ex.height)
df = pd.read_csv('emp.csv', error_bad_lines=False)
colors_ = ['black', 'red', 'black', 'red']
i=0
for row in df.itertuples(index=True, name='Pandas'):

    plt.scatter(getattr(row, "sal"), getattr(row, "inc"), color = 'b', s=10)
    word = ['First name=', str(getattr(row, "first_name")), 'Last name=', str(getattr(row, "last_name"))]
    rainbow_text(df["sal"].min()-8.3, df["inc"].median()-1.2, word, colors_, size=5)
    word = ['age=', str(getattr(row, "age")), 'gender=', str(getattr(row, "gender"))]
    rainbow_text(df["sal"].min()-7.8, df["inc"].median()-1.2, word, colors_, size=5)
    plt.savefig(os.path.join(cwd, 'fig/Test_fig_'   str(i)   '.pdf'), format='pdf', dpi=600, bbox_inches='tight')
    i  = 1
    plt.show()