get titles in a multi scatter plot to change

With a little bit of tweaking, some customized and modified graphs can also be made in excel.īut today we are going to learn about another built-in graph in excel called the scatter plot. The chart feature in excel offers a wide range of built-in graphs and charts that can be used to visualize data and make people understand better what the data concludes. Data analysts all over the world use Microsoft Excel to visualize data by creating graphs and charts. Return 'r = )'.format(pearsonr, pearsonr)įig.add_annotation(dict(text=corr_annotation(fig, fig),įor ncol,rcol in zip(lumns, data.Microsoft Excel is a very useful tool when it comes to visualizing data. Anyone has an idea of how I could achieve this? Here is the function and the final code: from scipy import stats However, that doesn't seem to be the case and the annotation is static. Then, based on the plotly reference example, add the annotation to args and change the method of the buttons to 'update'. My idea was to first define a function that will take the x and y attributes from the figure data structure (hoping that the dropdown selection change this attributes) and returns the text annotation. # Pass buttons to the updatemenus argumentįig.update_layout(updatemenus=) # Create figure and add one scatter trace

The first part I've managed to do with the code example below, but I am struggling with the annotation. I also want the plot to have a correlation stats annotation that change with the dropdown selection, because the annotation is calculated on both the x and y data as parameters. I'm trying to make a scatter plot with 2 dropdown menus that select a data column (from a pandas data frame) to be plotted for x and y-axis.

Get titles in a multi scatter plot to change