27765193716

Committed 18 Jun 2026 02:04PM UTC coverage: 0.0% (-89.1%) from 89.085%

Build # 27765193716

Build Type

push

github

Committed by

amarrerod

Commit Message

Fixes coveralls action

Coverage Stats

0 of 2254 relevant lines covered (0.0%)

0.0 hits per line

Source File
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0.0

/digneapy/visualize/_evo_generator_evolution_plot.py

#!/usr/bin/env python
# -*-coding:utf-8 -*-
"""
@File    :   _evo_generator_evolution_plot.py
@Time    :   2024/09/18 11:03:49
@Author  :   Alejandro Marrero
@Version :   1.0
@Contact :   amarrerd@ull.edu.es
@License :   (C)Copyright 2024, Alejandro Marrero
@Desc    :   None
"""

from typing import Optional

import matplotlib

matplotlib.use("Agg")  # Non-interactive backend
from pathlib import Path

import matplotlib.pyplot as plt
import polars as pl
import seaborn as sns
from matplotlib.lines import Line2D

from digneapy import Logbook


def ea_generator_evolution_plot(logbook: Logbook, filename: Optional[str | Path] = ""):
    generations = pl.Series("generation", values=logbook.select("gen"))
    mean_novelty = pl.Series(
        name="novelty", values=logbook.chapters["novelty"].select("avg")
    )
    mean_perf_bias = pl.Series(
        name="performance_bias",
        values=logbook.chapters["performance_bias"].select("avg"),
    )

    df = pl.DataFrame([generations, mean_novelty, mean_perf_bias])

    # Plot configuration
    plt.rcParams["font.family"] = "serif"
    plt.rcParams["font.sans-serif"] = [
        "Tahoma",
        "DejaVu Sans",
        "Lucida Grande",
        "Verdana",
    ]
    plt.rcParams["font.size"] = 16
    plt.figure(figsize=(12, 8))
    ax = sns.lineplot(
        data=df,
        x="generation",
        y="novelty",
        marker="o",
        color="blue",
        markersize=5,
        legend=False,
    )

    ax2 = plt.twinx()
    sns.lineplot(
        data=df,
        x="generation",
        y="performance_bias",
        marker="X",
        markersize=5,
        color="red",
        legend=False,
        ax=ax2,
    )
    ax.legend(
        handles=[
            Line2D([], [], marker="o", color="blue", label="novelty"),
            Line2D([], [], marker="X", color="red", label="performance bias"),
        ],
        loc="center right",
    )

    plt.title(r"Evolution of novelty and performance bias")
    if filename:
        plt.savefig(filename)
    else:  # pragma: no cover
        plt.show()
    plt.close()

1	#!/usr/bin/env python
2	# --coding:utf-8 --
3	"""
4	@File : _evo_generator_evolution_plot.py
5	@Time : 2024/09/18 11:03:49
6	@Author : Alejandro Marrero
7	@Version : 1.0
8	@Contact : amarrerd@ull.edu.es
9	@License : (C)Copyright 2024, Alejandro Marrero
10	@Desc : None
11	"""
12
13	from typing import Optional	×
14
15	import matplotlib	×
16
17	matplotlib.use("Agg") # Non-interactive backend	×
18	from pathlib import Path	×
19
20	import matplotlib.pyplot as plt	×
21	import polars as pl	×
22	import seaborn as sns	×
23	from matplotlib.lines import Line2D	×
24
25	from digneapy import Logbook	×
26
27
28	def ea_generator_evolution_plot(logbook: Logbook, filename: Optional[str \| Path] = ""):	×
29	generations = pl.Series("generation", values=logbook.select("gen"))	×
30	mean_novelty = pl.Series(	×
31	name="novelty", values=logbook.chapters["novelty"].select("avg")
32	)
33	mean_perf_bias = pl.Series(	×
34	name="performance_bias",
35	values=logbook.chapters["performance_bias"].select("avg"),
36	)
37
38	df = pl.DataFrame([generations, mean_novelty, mean_perf_bias])	×
39
40	# Plot configuration
41	plt.rcParams["font.family"] = "serif"	×
42	plt.rcParams["font.sans-serif"] = [	×
43	"Tahoma",
44	"DejaVu Sans",
45	"Lucida Grande",
46	"Verdana",
47	]
48	plt.rcParams["font.size"] = 16	×
49	plt.figure(figsize=(12, 8))	×
50	ax = sns.lineplot(	×
51	data=df,
52	x="generation",
53	y="novelty",
54	marker="o",
55	color="blue",
56	markersize=5,
57	legend=False,
58	)
59
60	ax2 = plt.twinx()	×
61	sns.lineplot(	×
62	data=df,
63	x="generation",
64	y="performance_bias",
65	marker="X",
66	markersize=5,
67	color="red",
68	legend=False,
69	ax=ax2,
70	)
71	ax.legend(	×
72	handles=[
73	Line2D([], [], marker="o", color="blue", label="novelty"),
74	Line2D([], [], marker="X", color="red", label="performance bias"),
75	],
76	loc="center right",
77	)
78
79	plt.title(r"Evolution of novelty and performance bias")	×
80	if filename:	×
81	plt.savefig(filename)	×
82	else: # pragma: no cover
83	plt.show()
84	plt.close()	×

DIGNEA / DIGNEApy / 27765193716

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