floatview 0.2.0

floatview统计信息

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jupyterlab的floatview输出小部件和glue/iplotly的数据浏览器

安装

如果使用jupyterlab>；=1.0:

pip install floatview
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.0.1
jupyter labextension install jupyterlab-datawidgets@6.2.0
jupyter labextension install jupyterlab-plotly@1.0.0
jupyter labextension install plotlywidget@1.0.0
jupyter labextension install jupyterlab-floatview@0.2.0

旧版本：

pip install floatview==0.1.18
jupyter labextension install @jupyterlab/plotly-extension@0.18.2
jupyter labextension install plotlywidget@0.9.1
jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.38.1
jupyter labextension install jupyterlab-floatview@0.1.11

用法

floatview小部件用作上下文管理器，就像ipywidgets的输出一样 小装置。

fromfloatviewimportFloatviewfromipywidgetsimportIntSlidersc=Floatview(title='Floatview Output',mode='tab-after')sl=IntSlider(description='Some slider')withsc:display(sl)

当一个输出显示在floatview中时，允许它占用 可用的垂直空间。如果显示更多内容，则自然高度 改为使用。

gluemanagerwidget用作glue数据集的数据/可视化管理器。

fromfloatviewimportGlueManagerWidgetfrompandasimportread_csvdata=read_csv('your_data.csv',index_col=False,usecols=cols)gmw=GlueManagerWidget(data,modal=True,label="Data")

可用的可视化效果

#Histogram (supports 1 component)view=gmw.gluemanager.newView("histogram",["PULocationID"],"Histogram")

#Scatter (supports 2-n components)view=gmw.gluemanager.newView("scatter",["PULocationID","DOLocationID"],"Scatter")view=gmw.gluemanager.newView("composed_scatter",["trip_distance","payment_type",'passenger_count'],"Composed Scatter")

#ErrorBar (supports 2-n components)view=gmw.gluemanager.newView("errorbar",["trip_distance","total_amount"],"Error")view=gmw.gluemanager.newView("composed_errorbar",["trip_distance","payment_type",'passenger_count'],"Composed Error")

#Polynomial Fitting 2-n degree (supports n components)view=gmw.gluemanager.newView("composed_polyfit_3d",["trip_distance","total_amount"],"Polyfit");

#scatter 3D (supports 3 components)view=gmw.gluemanager.newView("scatter3D",["trip_distance","total_amount","passenger_count"],"Scatter3D")

#Contours 2D (supports 2 components)view=gmw.gluemanager.newView("contour",["trip_distance","total_amount"],"Contour");

#Table (supports n components)view=gmw.gluemanager.newView("table",['passenger_count','trip_distance','total_amount','payment_type'],"Table");

#Parallel coordinatess (supports n components)view=gmw.gluemanager.newView("parallels",['passenger_count','trip_distance','total_amount','payment_type'],"Parallels");

#Parallel categories (supports n components)view=gmw.gluemanager.newView("parallelscat",['passenger_count','trip_distance','total_amount','payment_type'],"Parallels Categ");

#Sankey (supports n components)view=gmw.gluemanager.newView("sankey",['passenger_count','trip_distance','total_amount','payment_type'],"Sankey");

#Sunburst (supports n components)view=gmw.gluemanager.newView("sunburst",['passenger_count','trip_distance','total_amount','payment_type'],"Sunburst");

#Sankey Tree (supports n components)view=gmw.gluemanager.newView("sankeytree",['total_amount','payment_type','passenger_count',],"Sankey Tree");

#Scatter Matrix (supports n components)view=gmw.gluemanager.newView("scattermatrix",['passenger_count','trip_distance','total_amount','payment_type'],"scatter Matrix");

#Correlation Matrix (supports n components)view=gmw.gluemanager.newView("corrcoef",['passenger_count','trip_distance','total_amount','payment_type'],"Correlation Matrix");

#Principal components (supports n components)view=gmw.gluemanager.newView("pca",['passenger_count','trip_distance','total_amount','payment_type'],"Principal components");

#Network (supports 2 components)view=gmw.gluemanager.newView("network",['trip_distance','total_amount'],"Network");

#Image (supports 3 components)view=gmw.gluemanager.newView("image",["trip_distance","total_amount",'passenger_count'],"Image");

#Lines (supports n components)view=gmw.gluemanager.newView("composed_lines",["trip_distance","payment_type",'passenger_count'],"Lines");

标签：

• view
• 部件
• 可视化
• plotly
• jupyterlab
• glueviz

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