forked from aHuiWang/plot_demo
-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathpatchworklib_plot.py
143 lines (117 loc) · 4.9 KB
/
patchworklib_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
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
import pandas as pd
import seaborn as sns
import numpy as np
import patchworklib as pw
import matplotlib.pyplot as plt
from plotnine import *
from plotnine.data import *
plt.style.use('ggplot')
def draw_bar():
#绘制子图1
ax1 = pw.Brick(figsize=(1, 2)) #每个子图调用pw.Brick方法
ax1.bar([1, 2], [1, 2])
ax1.set_title("ax1")
#绘制子图2
ax2 = pw.Brick(figsize=(1, 3))
ax2.scatter(range(5), range(5))
ax2.set_title("ax2")
#绘制子图3
ax3 = pw.Brick(figsize=(2, 1))
ax3.bar([2, 1], [2, 3])
ax3.set_title("ax3")
#绘制子图4
ax4 = pw.Brick(figsize=(2, 2))
ax4.scatter(range(5), range(5))
ax4.set_title("ax4")
#拼图
ax1234 = (ax1 | ax2) | (ax3 / ax4)
ax1234.savefig("./pics/ax1234.png")
def draw_plot():
# ax1
ax1 = pw.Brick(figsize=(3, 2)) # 每个子图调用pw.Brick方法
fmri = sns.load_dataset("fmri") # 加载数据集，需要能够访问github
sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri, ax=ax1)
ax1.move_legend(new_loc='upper left', bbox_to_anchor=(1.05, 1.0))
ax1.set_title("ax1")
# ax2
ax2 = pw.Brick(figsize=(1, 2))
titanic = sns.load_dataset("titanic")
sns.barplot(x="sex", y="survived", hue="class", data=titanic, ax=ax2)
ax2.move_legend(new_loc='upper left', bbox_to_anchor=(1.05, 1.0))
ax2.set_title("ax2")
# ax3
ax3 = pw.Brick(figsize=(5, 2))
diamonds = sns.load_dataset("diamonds")
sns.histplot(diamonds, x="price", hue="cut", multiple="stack", palette="light:m_r", edgecolor=".3", linewidth=.5,
log_scale=True, ax=ax3)
ax3.move_legend(new_loc='upper left', bbox_to_anchor=(1.0, 1.0))
ax3.set_title("ax3")
# ax4
ax4 = pw.Brick(figsize=(6, 2))
tips = sns.load_dataset("tips")
sns.violinplot(data=tips, x="day", y="total_bill", hue="smoker", split=True, inner="quart", linewidth=1,
palette={"Yes": "b", "No": ".85"}, ax=ax4)
ax4.move_legend("upper left", bbox_to_anchor=(1.02, 1.0))
ax4.set_title("ax4")
# ax5
ax5 = pw.Brick(figsize=(5, 2))
rs = np.random.RandomState(365)
values = rs.randn(365, 4).cumsum(axis=0)
dates = pd.date_range("1 1 2016", periods=365, freq="D")
data = pd.DataFrame(values, dates, columns=["A", "B", "C", "D"])
data = data.rolling(7).mean()
sns.lineplot(data=data, palette="tab10", linewidth=2.5, ax=ax5)
ax5.set_xlabel("date")
ax5.set_ylabel("value")
ax5.move_legend("upper left", bbox_to_anchor=(1.02, 1.0))
ax5.set_title("ax5")
# 拼图
ax12345 = (ax1 | ax2) / (ax3 / ax4) / (ax5)
ax12345.savefig("./pics/ax12345.png")
def draw_scatter():
pw.overwrite_axisgrid() # 使用pw.load_seagorngrid，必须先开启pw.overwrite_axisgrid方法
iris = sns.load_dataset("iris")
tips = sns.load_dataset("tips")
# An lmplot
g0 = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips,
palette=dict(Yes="g", No="m"))
g0 = pw.load_seaborngrid(g0, label="g0") # 每个子图使用使用pw.load_seagorngrid方法
# A Pairplot
g1 = sns.pairplot(iris, hue="species")
g1 = pw.load_seaborngrid(g1, label="g1", figsize=(6, 6))
# A relplot
g2 = sns.relplot(data=tips, x="total_bill", y="tip", col="time", hue="time",
size="size", style="sex", palette=["b", "r"], sizes=(10, 100))
g2.set_titles("")
g2 = pw.load_seaborngrid(g2, label="g2")
# A JointGrid
g3 = sns.jointplot(x="sepal_width", y="petal_length", data=iris, hue="species",
kind="kde", space=0, color="g")
g3 = pw.load_seaborngrid(g3, label="g3", labels=["joint", "marg_x", "marg_y"])
# 个性化设置
g0.case.set_title('A', x=0, y=1.0, loc="right")
g0.move_legend("upper left", bbox_to_anchor=(0.1, 1.0))
g1.case.set_title('B', x=0, y=1.0, loc="right")
g3.case.set_title('C', x=0, y=1.0, loc="right")
g2.case.set_title('D', x=0, y=1.0, loc="right")
# 拼图
(((g0 / g3)["g0"] | g1)["g1"] / g2).savefig("./pics/g0123.png")
def draw_bar_line():
# 需要将patchworklib包中第403行代码中的版本信息跳到0.10以及以上
g1 = (ggplot(mtcars) + geom_point(aes("mpg", "disp")))
g1 = pw.load_ggplot(g1, figsize=(2, 3)) # 每个子图重复使用pw.load_ggplot方法
g2 = (ggplot(mtcars) + geom_boxplot(aes("gear", "disp", group="gear")))
g2 = pw.load_ggplot(g2, figsize=(2, 3))
g3 = (ggplot(mtcars, aes('wt', 'mpg', color='factor(gear)')) + geom_point() + stat_smooth(method='lm') + facet_wrap(
'~gear'))
g3 = pw.load_ggplot(g3, figsize=(3, 3))
g4 = (ggplot(data=diamonds) + geom_bar(mapping=aes(x="cut", fill="clarity"), position="dodge"))
g4 = pw.load_ggplot(g4, figsize=(5, 2))
# 拼图
g1234 = (g1 | g2 | g3) / g4
g1234.savefig("./pics/g1234.png")
if __name__ == '__main__':
# draw_bar()
# draw_plot()
# draw_scatter()
draw_bar_line()