Seaborn库的使用（1）

# 散点图矩阵
import seaborn as sns
import pandas as pd

df = sns.load_dataset("iris")
sns.pairplot(df, hue="species")

# 带有误差边界的时序图
sns.set(style="darkgrid")

fmri = sns.load_dataset("fmri")

sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri)

# 带有观测值的水平箱型图
import seaborn as sns
import matplotlib.pyplot as plt

sns.set(style="ticks")

f, ax = plt.subplots(figsize=(7, 6))
ax.set_xscale("log")

planets = sns.load_dataset("planets")

sns.boxplot(x="distance", y="method", data=planets, whis="range", palette="vlag")
sns.swarmplot(x="distance", y="method", data=planets, size=2, color=".3", linewidth=0)
ax.xaxis.grid(True)
ax.set(ylabel="")
sns.despine(trim=True, left=True)

# 热力图
import seaborn as sns

flights_long = sns.load_dataset("flights")
flights = flights_long.pivot("month", "year", "passengers")
sns.heatmap(flights, annot=True, fmt="d", linewidths=0.5)