You can set up one trace and a button option for each individual trace. This will turn this figure… … into this: The button option A will be replaced with the first column in your dataframe. And the dropdown menu will let you choose which column to display in your figure. Code: import numpy as … Read more
Below is an example of creating interactive iplot() in Plotly and cufflinks() on Google Colab Notebook. Used functions and suggestions from the answer [1, 2] The key seems to be to include configure_plotly_browser_state() in the cell that does the plotting. Code below should work: Import libraries import datetime from datetime import date import pandas as … Read more
If you’d like to develop your plotly figures in Spyder, perhaps because of Spyders superb variable explorer, you can easily display a non-interactive image by just running fig.show(). Note that this is for newer versions of plotly where you don’t have to worry about iplot and plotly.offline. And if you’d like display your figure in … Read more
First, if an explanation of the broader differences between go and px is required, please take a look here and here. And if absolutely no explanations are needed, you’ll find a complete code snippet at the very end of the answer which will reveal many of the powers with colors in plotly.express Part 1: The … Read more
You could simply use a dictionary like this: colors = {‘A’:’steelblue’, ‘B’:’firebrick’} The only challenge lies in grouping the dataframe for each unique type and adding a new trace for each type using a for loop. The code snippet below takes care of that to produce this plot: # imports import pandas as pd import … Read more
I had the same problem with my graph. Just add the following to layout code: xaxis=dict(type = “category”) Note: I have used import plotly.graph_objs as go and NOT import plotly.express as px This worked for me. Hope it helps you too.
Here you’ve tried to use a pandas dataframe of a wide format as a source for px.line. And plotly.express is designed to be used with dataframes of a long format, often referred to as tidy data (and please take a look at that. No one explains it better that Wickham). Many, particularly those injured by … Read more
Updated answer: With newer versions of plotly, static Image export in Python is a breeze. Just make sure to install kaleido using: pip install -U kaleido or, for Anaconda: conda install -c conda-forge python-kaleido And then run fig.write_image(“yourfile.png”) Filetypes such as .jpeg and .pdf are also available options. Producing an individual html file is still … Read more
In go.Sankey() set arrangement=”snap” and adjust x and y positions in x=<list> and y=<list>. The following setup will place your nodes as requested. Plot: Please note that the y-values are not explicitly set in this example. As soon as there are more than one node for a common x-value, the y-values will be adjusted automatically … Read more
Updating traces of a Graph component without generating a new graph object can be achieved via the extendData property. Here is a small example that appends data each second, import dash import dash_html_components as html import dash_core_components as dcc import numpy as np from dash.dependencies import Input, Output # Example data (a circle). resolution = … Read more