I want to use Python matplotlib to change the pattern of the horizontal bar graph.

I'd like to use Python's matplotlib to change the pattern of the horizontal bar graph.
Currently, I can distinguish between red and blue, but I want to be able to distinguish between black and white.
Specifically, I'd like to change it to a dotted line, diagonal line, lattice, polka dot pattern, etc.
Is there any way? I look forward to your kind cooperation.

data.txt

 00 0.01619.833
1   0   19.834   52.805
2   0   52.806   84.005
5   0   84.012  107.305
8   0  107.315  128.998
10  0  129.005  138.956
11  0  138.961  145.587
25  1   31.096   56.180
27  1   58.097   64.857
28  1   64.858   66.494
29  1   66.496   89.908

The program is as follows:

#!/usr/bin/env python
# -*-coding:shift_jis-*-
import numpy as np
import matplotlib.pyplot asplt
y,c,x1,x2 = np.loadtxt('data.txt',unpack=True)
color_mapper=np.vectorize(lambdax:{0:'red',1:'blue'}.get(x))

plt.hlines(y, x1, x2, colors=color_mapper(c), lw=10)
plt.margins (0.1)

plt.grid()
plt.show()

python matplotlib

2022-09-29 20:26

1 Answers

With hlines() (Line2D object), you can only set

as dashed or dotted because it is just a line drawing.

You will need to draw each rectangle as shown in http://matthiaseisen.com/pp/patterns/p0203/.

#!/usr/bin/env python
import matplotlib.pyplot asplt
import matplotlib.patches as patches

STYLES = [
  dict(fill=False, hatch='/', color='red'),
  dict(fill=True, hatch='\\', color='blue', alpha=0.5),
]
HEIGHT=1

_,ax=plt.subplots()

with open('data.txt') asf:
  for line in f.readlines():
    y,c,x1,x2 = line.split()
    y=float(y)-HEIGHT/2
    x1 = float(x1)
    width=float(x2) - x1
    c=int(c)
    ax.add_patch (patches.Rectangle((x1,y), width, HEIGHT,**(STYLES[c])))

plt.margins (0.1)
plt.grid()
plt.show()

I have never used numpy, so the file loading part is the original Python code.If necessary, reread it as appropriate.

STYLES summarizes keyword arguments to Rectangle().

2022-09-29 20:26

If you have any answers or tips

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