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提交 seaborn-2 图片和代码示例

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day-125

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`‎day-125/2.py`

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	`1`	`+import seaborn as sns`
	`2`	`+import matplotlib.pyplot as plt`
	`3`	`+sns.set(style="darkgrid")`
	`4`	`+`
	`5`	`+# 2.1Ê3⁄4Àý`
	`6`	`+tips = sns.load_dataset("tips")`
	`7`	`+sns.catplot(x="day", y="total_bill", data=tips)`
	`8`	`+`
	`9`	`+sns.catplot(x="day", y="total_bill", jitter=False, data=tips)`
	`10`	`+`
	`11`	`+# 2.2Ê3⁄4Àý`
	`12`	`+sns.catplot(x="day", y="total_bill", kind="swarm", data=tips)`
	`13`	`+`
	`14`	`+sns.catplot(x="day", y="total_bill", hue="sex", kind="swarm", data=tips)`
	`15`	`+`
	`16`	`+sns.catplot(x="size", y="total_bill", kind="swarm", data=tips)`
	`17`	`+`
	`18`	`+sns.catplot(x="size", y="total_bill", order=[6, 5, 4, 2, 1, 3], kind="swarm", data=tips)`
	`19`	`+`
	`20`	`+sns.catplot(x="total_bill", y="day", hue="time", kind="swarm", data=tips)`
	`21`	`+`

`‎day-125/3.py`

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	`1`	`+import seaborn as sns`
	`2`	`+import matplotlib.pyplot as plt`
	`3`	`+sns.set(style="darkgrid")`
	`4`	`+`
	`5`	`+# 3.1 示例`
	`6`	`+sns.catplot(x="day", y="total_bill", kind="box", data=tips)`
	`7`	`+`
	`8`	`+sns.catplot(x="day", y="total_bill", hue="smoker", kind="box", data=tips)`
	`9`	`+`
	`10`	`+sns.catplot(x="day", y="total_bill", hue="smoker", kind="box", dodge=False, data=tips)`
	`11`	`+`
	`12`	`+tips["weekend"] = tips["day"].isin(["Sat", "Sun"]) # 新增变量 "weekend",该变量并未嵌套在主分类 "day" 变量中`
	`13`	`+sns.catplot(x="day", y="total_bill", hue="weekend",`
	`14`	`+ kind="box", dodge=False, data=tips)`
	`15`	`+`
	`16`	`+# 3.2 示例`
	`17`	`+diamonds = sns.load_dataset("diamonds")`
	`18`	`+print(diamonds)`
	`19`	`+`
	`20`	`+sns.catplot(x="color", y="price", kind="boxen",`
	`21`	`+ data=diamonds.sort_values("color"))`
	`22`	`+`
	`23`	`+# 3.3 示例`
	`24`	`+sns.catplot(x="total_bill", y="day", hue="time",`
	`25`	`+ kind="violin", data=tips)`
	`26`	`+`
	`27`	`+sns.catplot(x="total_bill", y="day", hue="time",`
	`28`	`+ kind="violin", bw=.15, cut=0, # bw:用来计算核密度的带宽,cut:设置为0将小提琴图范围限制在观察数据的范围内`
	`29`	`+ data=tips)`
	`30`	`+`
	`31`	`+sns.catplot(x="day", y="total_bill", hue="sex",`
	`32`	`+ kind="violin", split=True, data=tips)`
	`33`	`+`
	`34`	`+sns.catplot(x="day", y="total_bill", hue="sex",`
	`35`	`+ kind="violin", inner="stick", split=True,`
	`36`	`+ palette="pastel", data=tips)`
	`37`	`+`
	`38`	`+g = sns.catplot(x="day", y="total_bill", kind="violin", inner=None, data=tips)`
	`39`	`+sns.swarmplot(x="day", y="total_bill", color="k", size=3, data=tips, ax=g.ax)`
	`40`	`+`
	`41`	`+`
	`42`	`+`
	`43`	`+`
	`44`	`+`

`‎day-125/4.py`

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	`1`	`+import seaborn as sns`
	`2`	`+import matplotlib.pyplot as plt`
	`3`	`+sns.set(style="darkgrid")`
	`4`	`+`
	`5`	`+titanic = sns.load_dataset("titanic")`
	`6`	`+print(titanic)`
	`7`	`+`
	`8`	`+# 4.1 示例`
	`9`	`+sns.catplot(x="sex", y="survived", hue="class", kind="bar", data=titanic)`
	`10`	`+`
	`11`	`+# 4.2 示例`
	`12`	`+sns.catplot(x="deck", kind="count", palette="ch:.25", data=titanic)`
	`13`	`+`
	`14`	`+sns.catplot(y="deck", hue="class", kind="count",`
	`15`	`+ palette="pastel", edgecolor=".6",`
	`16`	`+ data=titanic)`
	`17`	`+`
	`18`	`+# 4.3 示例`
	`19`	`+sns.catplot(x="sex", y="survived", hue="class", kind="point", data=titanic)`
	`20`	`+`
	`21`	`+sns.catplot(x="class", y="survived", hue="sex",`
	`22`	`+ palette={"male": "g", "female": "m"},`
	`23`	`+ markers=["^", "o"], linestyles=["-", "--"],`
	`24`	`+ kind="point", data=titanic)`

`‎day-125/5.py`

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	`1`	`+import seaborn as sns`
	`2`	`+import matplotlib.pyplot as plt`
	`3`	`+sns.set(style="darkgrid")`
	`4`	`+`
	`5`	`+iris = sns.load_dataset("iris")`
	`6`	`+sns.catplot(data=iris, orient="h", kind="box")`
	`7`	`+`
	`8`	`+sns.violinplot(x=iris.species, y=iris.sepal_length)`
	`9`	`+`
	`10`	`+f, ax = plt.subplots(figsize=(7, 3))`
	`11`	`+sns.countplot(y="deck", data=titanic, color="c")`

`‎day-125/6.py`

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	`1`	`+import seaborn as sns`
	`2`	`+import matplotlib.pyplot as plt`
	`3`	`+sns.set(style="darkgrid")`
	`4`	`+`
	`5`	`+tips = sns.load_dataset("tips")`
	`6`	`+sns.catplot(x="day", y="total_bill", hue="smoker",`
	`7`	`+ col="time", aspect=.6,`
	`8`	`+ kind="swarm", data=tips)`
	`9`	`+`
	`10`	`+tips = sns.load_dataset("titanic")`
	`11`	`+g = sns.catplot(x="fare", y="survived", row="class",`
	`12`	`+ kind="box", orient="h", height=1.5, aspect=4,`
	`13`	`+ data=titanic.query("fare > 0"))`
	`14`	`+g.set(xscale="log")`