Adding Buttons to the Plot
In plotly, actions custom Buttons are used to quickly make actions directly from a record. Custom Buttons can be added to page layouts in CRM, Marketing, and Custom Apps. There are also 4 possible methods that can be applied in custom buttons:
- restyle: modify data or data attributes
- relayout: modify layout attributes
- update: modify data and layout attributes
- animate: start or pause an animation
Example:
Python3
import plotly.graph_objects as px import pandas as pd df = go.data.tips() plot = px.Figure(data = [px.Scatter( x = data[ 'day' ], y = data[ 'tip' ], mode = 'markers' ,) ]) # Add dropdown plot.update_layout( updatemenus = [ dict ( type = "buttons" , direction = "left" , buttons = list ([ dict ( args = [ "type" , "scatter" ], label = "Scatter Plot" , method = "restyle" ), dict ( args = [ "type" , "bar" ], label = "Bar Chart" , method = "restyle" ) ]), ), ] ) plot.show() |
Output:
In this example also we are creating two different plots on the same data and both plots are accessible by the buttons.
Plotly tutorial
Plotly library in Python is an open-source library that can be used for data visualization and understanding data simply and easily. Plotly supports various types of plots like line charts, scatter plots, histograms, box plots, etc. So you all must be wondering why Plotly is over other visualization tools or libraries. So here are some reasons :
- Plotly has hover tool capabilities that allow us to detect any outliers or anomalies in a large number of data points.
- It is visually attractive and can be accepted by a wide range of audiences.
- Plotly generally allows us endless customization of our graphs and makes our plot more meaningful and understandable for others.
This tutorial aims at providing you the insight about Plotly with the help of the huge dataset explaining the Plotly from basics to advance and covering all the popularly used charts.
Table of Content
- How to install Plotly?
- Package Structure of Plotly
- Getting Started
- Creating Different Types of Charts
- Heatmaps
- Error Bars
- 3D Line Plots
- 3D Scatter Plot Plotly
- 3D Surface Plots
- Interacting with the Plots
- Adding Buttons to the Plot
- Creating Sliders and Selectors to the Plot
- More Plots using Plotly
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