err_kws=None,legend='brief',ax=None,**kwargs,) Parameters --- x, y : names of variables in ``data`` or vector data, optional Input data variables; must be numeric. Can pass data directly or reference columns in ``data``. hue : name of variables in ``data`` or vector data, o...
sizes=None, size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, estimator='mean', errorbar=('ci',95), n_boot=1000, seed=None, orient='x', sort=True, err_style='band', err_kws=
size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, estimator='mean', errorbar=('ci', 95), n_boot=1000, seed=None, orient='x', sort=True, err_style='band', err_kws=None, legend=
palette=None, hue_order=None, hue_norm=None, sizes=None, size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, units=None, estimator='mean', ci=95, n_boot=1000, seed=None, sort=True, err_style='band', err_kws=None, legend='brief', ax=None, **kwargs)...
err_style='band', err_kws=None, legend='brief', ax=None, **kwargs)'''fig,axes=plt.subplots(1,2,figsize=(10,6))#默认折线图有聚合sns.lineplot(x="用料数", y="评分", hue="菜系",data=df,ax=axes[0])#estimator参数设置为None可取消聚合sns.lineplot(x="用料数", y="评分", hue="...
estimator="mean", ci=95, n_boot=1000,sort=True, err_style="band", err_kws=None,legend="brief", ax=None, **kwargs) fmri = sns.load_dataset("fmri") ax= sns.lineplot(x="timepoint", y="signal", data=fmri) fmri.head()
size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, units=None, estimator='mean', ci=95, n_boot=1000, sort=True, err_style='band', err_kws=None, legend='brief', ax=None, **kwargs, ) Docstring: Draw a line plot with possibility of several semantic group...
ci=95, n_boot=1000, sort=True, err_style='band', err_kws=None, legend='brief', ax=None, **kwargs) ''' fig,axes=plt.subplots(1,2,figsize=(10,6)) #默认折线图有聚合 sns.lineplot(x="用料数", y="评分", hue="菜系",data=df,ax=axes[0]) ...
ci=95, n_boot=1000, sort=True, err_style='band', err_kws=None, legend='brief', ax=None, **kwargs) ''' fig,axes=plt.subplots(1,2,figsize=(10,6)) #默认折线图有聚合 sns.lineplot(x="用料数", y="评分", hue="菜系",data=df,ax=axes[0]) ...
palette=None, hue_order=None, hue_norm=None, sizes=None, size_order=None, size_norm=None, dashes=True, markers=None, style_order=None, units=None, estimator='mean', ci=95, n_boot=1000, sort=True, err_style='band', err_kws=None, legend='brief', ax=None, **kwargs) ''' fig,...