PLOTLY R SUBPLOT SIZE OFFLINE

plotlyProxy: Modify a plotly object inside a shiny app.

plotly_POST: Create/Modify plotly graphs.

plotly_json: Inspect JSON sent to plotly.js.

plotly_example: Run a plotly example(s).

plotly_empty: Create a complete empty plotly graph.

plotly_data: Obtain data associated with a plotly graph.

plotly_build: 'Build' (i.e., evaluate) a plotly object.

plot_ly: Initiate a plotly visualization.

plot_dendro: Plot an interactive dendrogram.

partial_bundle: Use a partial bundle of plotly.js.

layout: Modify the layout of a plotly visualization.

last_plot: Retrieve the last plot to be modified or created.

knit_print.api_plot: Embed a plotly figure as an iframe in a knitr doc.

knit_print.api_grid_local: Embed a plotly grid as an iframe in a knitr doc.

knit_print.api_grid: Embed a plotly grid as an iframe in a knitr doc.

highlight_key: Highlight/query data based on primary key.

highlight: Query graphical elements in multiple linked views.

hide_guides: Hide guides (legends and colorbars).group2NA: Separate groups with missing values.geom2trace: Convert a 'basic' geoms to a plotly.js trace.export: Export a plotly graph to a static file.event_unregister: Un-register a shiny input value.event_register: Register a shiny input value.event_data: Access plotly user input event data in shiny.embed_notebook: Embed a plot as an iframe into a Jupyter Notebook.config: Set the default configuration for plotly.bbox: Estimate bounding box of a rotated string.attrs_selected: Specify attributes of selection traces.as.widget: Convert a plotly object to an htmlwidget object.as_widget: Convert a list to a plotly htmlwidget object.api: Tools for working with plotly's REST API (v2).animation: Animation configuration options.add_trace: Add trace(s) to a plotly visualization.add_fun: Apply function to plot, without modifying data.add_data: Add data to a plotly visualization.add_annotations: Add an annotation(s) to a plot.Use the make_subplots() method to generate 'rows' and 'cols' with the plot type as 'pie'. Import the aphs_objs module and alias as go.

PLOTLY R SUBPLOT SIZE OFFLINE

Import the plotly.offline module to generate offline plot. To create subplots, we will use the make_subplots() method.įollow the steps given below to plot pie charts as subplots. It contains a lot of method to generate charts. We will use the aph_objects module to generate figures. Here, we will use the plotly.offline module to generate an offline plot. In this tutorial, we will show how you can use Plotly to plot pie charts as subplots with custom size. Python users can use Plotly to generate different types of charts including scientific charts, 3D graphs, statistical charts, financial charts, etc. Plotly is an open-source, interactive, and browser-based charting library for Python.

Plotly r subplot size