You’re able to customize the color palette used in a plot. You can select a premade palette, or create your own. Colors in a palette are used in a plot sequentially per series or color group.
In the series settings, you’re able to specify a column to color plot markers by. This usually works best when using categorical columns in the source tableIn some plot types this will both color and group by the category.
You are able to adjust the height and width of a plot. To adjust the height use the height slider at the bottom of the plot. To adjust width there is an option to enable a maximum width size for the plot.
If you’re working directly with code, you can apply the GraphPad-Inspired Theme by passing template="graphpad_inspired_theme" to your Plotly figure. Here’s an example:
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import plotly.express as pxfig_scatter = px.scatter(df_2619, x='rqMean', y='rqSD', color='Target Name', hover_data=['Sample Name', 'rq'], labels={'rqMean': 'Mean Relative Quantity', 'rqSD': 'Standard Deviation of Relative Quantity'}, title='Scatter Plot of Mean Relative Quantity vs Standard Deviation')fig_scatter.update_layout( legend_title='Target Name', xaxis_title='Mean Relative Quantity', yaxis_title='Standard Deviation of Relative Quantity', template='graphpad_inspired_theme', ### APPLY GRAPHPAD PRISM THEME autosize=True)