Seaborn绘制柱状图

import pandas as pd
import numpy as np

import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

sns.set_theme(style="whitegrid")
sns.set_style('darkgrid')

tips = sns.load_dataset("tips")
tips.head()

x = ["A","B","C"]
y = [1, 2, 3]

sns.barplot(x, y)
plt.show()

# 水平柱状图

x = ["A","B","C"]
y = [1, 2, 3]

sns.barplot(y, x)
plt.show()

x = ["A","B","C"]
y = [1, 2, 3]

fig = sns.barplot(x, y)
fig.set_title('title of seaborn')

plt.show()

# 通过DataFrame来指定

ax = sns.barplot(x="day", y="tip", data=tips)
plt.show()

ax = sns.barplot(x="day",
								y="total_bill",
								hue="sex",
								data=tips)

ax = sns.barplot(x="total_bill",
                 y="day",
                 data=tips)

ax = sns.barplot(x="total_bill",
                 y="day",
                 # 添加order参数，指定顺序
                 order=["Sat","Fri","Sun","Thur"],  # 自定义
                 data=tips)

ax = sns.barplot(x="size",
                 y="total_bill",
                 data=tips,
                 color="salmon",
                 saturation=.5)

ax = sns.barplot(x="size",
                 y="tip",
                 data=tips,
                 palette="Blues")

g = sns.catplot(x="sex",
                y="total_bill",
                hue="smoker",
                col="time",
                data=tips,
                kind="bar",
                height=4,
                aspect=.7)

tips["weekend"] = tips["day"].isin(["Sat", "Sun"])
tips

ax = sns.barplot(x="day",
                 y="tip",
                 hue="weekend",
                 data=tips,
                 dodge=False)