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patchworklib_plot.py
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patchworklib_plot.py
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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()