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提交 seaborn-1 代码示例及图片

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`‎day-124/2.py‎`

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	`1`	`+import numpy as np`
	`2`	`+import pandas as pd`
	`3`	`+import matplotlib.pyplot as plt`
	`4`	`+import seaborn as sns`
	`5`	`+sns.set(style="darkgrid")`
	`6`	`+`
	`7`	`+tips= sns.load_dataset("tips")`
	`8`	`+print('tips 数据集前十行数据:\n', tips.head(5))`
	`9`	`+print('每一列的数据类型:\n', tips.dtypes)`
	`10`	`+`
	`11`	`+# 2.1示例`
	`12`	`+sns.relplot(x="total_bill", y="tip", data=tips)`
	`13`	`+`
	`14`	`+# 2.2示例`
	`15`	`+sns.relplot(x="total_bill", y="tip", hue="smoker", data=tips)`
	`16`	`+`
	`17`	`+# 2.3示例`
	`18`	`+sns.relplot(x="total_bill", y="tip", hue="smoker", style="smoker", data=tips)`
	`19`	`+`
	`20`	`+# 2.4示例`
	`21`	`+sns.relplot(x="total_bill", y="tip", hue="smoker", style="time", data=tips)`
	`22`	`+`
	`23`	`+# 2.5示例`
	`24`	`+sns.relplot(x="total_bill", y="tip", hue="size", data=tips)`
	`25`	`+`
	`26`	`+# 2.6示例`
	`27`	`+sns.relplot(x="total_bill", y="tip", size="size", data=tips)`
	`28`	`+sns.relplot(x="total_bill", y="tip", size="size", sizes=(15, 200), data=tips)`
	`29`	`+`

`‎day-124/3.py‎`

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	`1`	`+import numpy as np`
	`2`	`+import pandas as pd`
	`3`	`+import matplotlib.pyplot as plt`
	`4`	`+import seaborn as sns`
	`5`	`+sns.set(style="darkgrid")`
	`6`	`+`
	`7`	`+# 3.1 示例`
	`8`	`+df = pd.DataFrame(dict(time=np.arange(500), value=np.random.randn(500).cumsum()))`
	`9`	`+sns.relplot(x="time", y="value", kind="line", data=df)`
	`10`	`+`
	`11`	`+df = pd.DataFrame(np.random.randn(500, 2).cumsum(axis=0), columns=["x", "y"])`
	`12`	`+sns.relplot(x="x", y="y", sort=False, kind="line", data=df)`
	`13`	`+`
	`14`	`+# 3.2 示例`
	`15`	`+fmri = sns.load_dataset("fmri")`
	`16`	`+print(fmri)`
	`17`	`+`
	`18`	`+sns.relplot(x="timepoint", y="signal", kind="line", data=fmri)`
	`19`	`+`
	`20`	`+sns.relplot(x="timepoint", y="signal", ci=None, kind="line", data=fmri)`
	`21`	`+`
	`22`	`+sns.relplot(x="timepoint", y="signal", kind="line", ci="sd", data=fmri)`
	`23`	`+`
	`24`	`+sns.relplot(x="timepoint", y="signal", estimator=None, kind="line", data=fmri)`
	`25`	`+`
	`26`	`+sns.relplot(x="timepoint", y="signal", hue="event", kind="line", data=fmri)`
	`27`	`+`
	`28`	`+sns.relplot(x="timepoint", y="signal", hue="region", style="event", kind="line", data=fmri)`
	`29`	`+`
	`30`	`+sns.relplot(x="timepoint", y="signal", hue="region", style="event", dashes=False, markers=True, kind="line", data=fmri)`
	`31`	`+`
	`32`	`+sns.relplot(x="timepoint", y="signal", hue="event", style="event", kind="line", data=fmri)`
	`33`	`+`
	`34`	`+sns.relplot(x="timepoint", y="signal", hue="region", units="subject", estimator=None, kind="line", data=fmri.query("event == 'stim'"))`
	`35`	`+`
	`36`	`+# 3.3 示例`
	`37`	`+dots = sns.load_dataset("dots").query("align == 'dots'")`
	`38`	`+print(dots)`
	`39`	`+`
	`40`	`+sns.relplot(x="time", y="firing_rate",`
	`41`	`+ hue="coherence", style="choice",`
	`42`	`+ kind="line", data=dots)`
	`43`	`+`
	`44`	`+palette = sns.cubehelix_palette(n_colors=6) # 数据集中 coherence 变量有6个数值,所以 n_colors=6`
	`45`	`+sns.relplot(x="time", y="firing_rate", hue="coherence", style="choice", palette=palette, kind="line", data=dots)`
	`46`	`+`
	`47`	`+from matplotlib.colors import LogNorm`
	`48`	`+sns.relplot(x="time", y="firing_rate",`
	`49`	`+ hue="coherence", style="choice",`
	`50`	`+ hue_norm=LogNorm(),`
	`51`	`+ kind="line", data=dots)`
	`52`	`+`
	`53`	`+sns.relplot(x="time", y="firing_rate",`
	`54`	`+ size="coherence", style="choice",`
	`55`	`+ kind="line", data=dots)`
	`56`	`+`
	`57`	`+sns.relplot(x="time", y="firing_rate",`
	`58`	`+ hue="coherence", size="choice",`
	`59`	`+ kind="line", data=dots)`
	`60`	`+`
	`61`	`+# 3.4 示例`
	`62`	`+df = pd.DataFrame(dict(time=pd.date_range("2017年1月1日", periods=500),`
	`63`	`+ value=np.random.randn(500).cumsum()))`
	`64`	`+g = sns.relplot(x="time", y="value", kind="line", data=df)`
	`65`	`+`
	`66`	`+g.fig.autofmt_xdate()`
	`67`	`+`
	`68`	`+`
	`69`	`+`
	`70`	`+`
	`71`	`+`
	`72`	`+`

`‎day-124/4.py‎`

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	`1`	`+import numpy as np`
	`2`	`+import pandas as pd`
	`3`	`+import matplotlib.pyplot as plt`
	`4`	`+import seaborn as sns`
	`5`	`+sns.set(style="darkgrid")`
	`6`	`+`
	`7`	`+# 4.1 示例`
	`8`	`+tips = sns.load_dataset("tips")`
	`9`	`+sns.relplot(x="total_bill", y="tip", hue="smoker",`
	`10`	`+ col="time", data=tips)`
	`11`	`+`
	`12`	`+fmri = sns.load_dataset("fmri")`
	`13`	`+sns.relplot(x="timepoint", y="signal", hue="subject",`
	`14`	`+ col="region", row="event", height=3,`
	`15`	`+ kind="line", estimator=None, data=fmri)`
	`16`	`+`
	`17`	`+fmri = sns.load_dataset("fmri")`
	`18`	`+sns.relplot(x="timepoint", y="signal", hue="event", style="event",`
	`19`	`+ col="subject", col_wrap=5,`
	`20`	`+ height=3, aspect=.75, linewidth=2.5,`
	`21`	`+ kind="line", data=fmri.query("region == 'frontal'"))`