For that you may use the color_discrete_sequence argument. fig = px.scatter(df, x=”sepal_width”, y=”sepal_length”, color_discrete_sequence=[‘red’]) This argument is to use a custom color paletter for discrete color factors, but if you are not using any factor for color it will use the first element for all the points in the plot. More about discrete color palletes: … Read more
You would need to use rgba to specify the alpha channel as well, rgb ignores the transparency. import plotly trace = plotly.graph_objs.Scatter(x=[30,45],y=[3000,3000], fill=”tozeroy”, fillcolor=”rgba(26,150,65,0.5)”, mode=”none”) plotly.offline.iplot(plotly.graph_objs.Figure(data=[trace]))
You can use: fig3 = go.Figure(data=fig1.data + fig2.data) Where fig1 and fig2 are built using px.line() and px.scatter(), respectively. And fig3 is, as you can see, built using plotly.graph_objects. Some details: One approach that I use alot is building two figures fig1 and fig2 using plotly.express and then combine them using their data attributes together … Read more
So I think the answer you needed was “it cannot be done”. To clarify the repeated ask of converting a dashboard to HTML: HTML is a markup language; it displays text in aesthetic ways, you can use CSS to improve the aesthetics. The idea of interactivity like a dashboard where onClick() leads to changes in … Read more
You could place the Component you need to hide inside an html.div([]) and change its ‘display’ option to ‘none’ in a callback. The callback should have e.g a Dropdown as Input and the Component inside the html.div([]) as Output. The following is a web app containing only a Dropdown and an Input Component that is … Read more
In order to change the format of the y-axis you need to set tickformat, not hoverformat. var trace1 = { x: [1, 2, 3, 4], y: [0.10, 0.15, 0.43, 0.17], type: ‘scatter’ }; var trace2 = { x: [1, 2, 3, 4], y: [0.16, 0.5, 0.11, 0.9], type: ‘scatter’ }; var layout = { yaxis: … Read more
Yes, it can be done. The only purpose of having a plotly account is to host the graphs in your plotly account. Plotly Offline allows you to create graphs offline and save them locally. Instead of saving the graphs to a server, your data and graphs will remain in your local system.
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
If you are using Python you can add the <b> html tag to the title attribute and you are good. You can add some more limited HTML styling such as italic as well, see example below. import plotly plotly.offline.init_notebook_mode() data = [plotly.graph_objs.Bar( x=[‘giraffes’, ‘orangutans’, ‘monkeys’], y=[20, 14, 23] )] layout = go.Layout(title=”<b>Bold</b> <i>animals</i>”) fig = … Read more