forked from recommenders-team/recommenders
-
Notifications
You must be signed in to change notification settings - Fork 0
/
plot.py
75 lines (69 loc) · 2.41 KB
/
plot.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
import matplotlib.pyplot as plt
def line_graph(
values,
labels,
x_guides=None,
x_name=None,
y_name=None,
x_min_max=None,
y_min_max=None,
legend_loc=None,
subplot=None,
plot_size=(5, 5),
):
"""Plot line graph(s).
Args:
values (list(list(float or tuple)) or list(float or tuple): List of graphs or a graph to plot
E.g. a graph = list(y) or list((y,x))
labels (list(str) or str): List of labels or a label for graph.
If labels is a string, this function assumes the values is a single graph.
x_guides (list(int)): List of guidelines (a vertical dotted line)
x_name (str): x axis label
y_name (str): y axis label
x_min_max (list or tuple): Min and max value of the x axis
y_min_max (list or tuple): Min and max value of the y axis
legend_loc (str): legend location
subplot (list or tuple): `matplotlib.pyplot.subplot` format. E.g. to draw 1 x 2 subplot,
pass `(1,2,1)` for the first subplot and `(1,2,2)` for the second subplot.
plot_size (list or tuple): Plot size (width, height)
"""
if subplot:
# Setup figure only once
if subplot[2] == 1:
if plot_size:
plt.figure(figsize=(
plot_size[0]*subplot[1], # fig width = plot width * num columns
plot_size[1]*subplot[0] # fig height = plot height * num rows
))
plt.subplots_adjust(wspace=0.5)
plt.subplot(*subplot)
else:
if plot_size:
plt.figure(figsize=plot_size)
if isinstance(labels, str):
if isinstance(values[0], (int, float)):
y, x = values, range(len(values))
else:
y, x = zip(*values)
plt.plot(x, y, label=labels, lw=1)
else:
assert len(values) == len(labels)
for i, v in enumerate(values):
if isinstance(v[0], (int, float)):
y, x = v, range(len(v))
else:
y, x = zip(*v)
plt.plot(x, y, label=labels[i], lw=1)
if x_guides:
for x in x_guides:
plt.axvline(x=x, color="gray", lw=1, linestyle="--")
if x_name:
plt.xlabel(x_name)
if y_name:
plt.ylabel(y_name)
if x_min_max:
plt.xlim(*x_min_max)
if y_min_max:
plt.ylim(*y_min_max)
if legend_loc:
plt.legend(loc=legend_loc)