This makes it easier for anyone viewing the graph to know that the blue line denotes age while the orange line denotes number in the graph. In the graph above, we've used the legend function to describe each line in the plot. Plt.show() two line graph with different legend descriptions Here's an example: import matplotlib.pyplot as plt With the legend function, you can assign different descriptions to each line of a graph. A description of "Data" was assigned to the legend, and was placed in the upper right corner of the graph using the upper right value of the loc parameter. In the graph above, we described the plot using a legend. Plt.show() matplotlib graph with a legend You'll then learn how to change the font size of a Matplotlib legend using:Ī legend is a Matplotlib function used to describe elements that make up a graph.Ĭonsider the graph below: import matplotlib.pyplot as plt In this article, you'll learn what a legend is in Matplotlib, and how to use some of its parameters to make your plots more relatable. Manual Labelling in PlotlyĮxplicitly Labeling traces and axes in Plotly.You can modify different properties of a plot - color, size, label, title and so on - when working with Matplotlib. Library ( dash ) library ( dashCoreComponents ) library ( dashHtmlComponents ) library ( devtools ) library ( plotly ) library ( dashDaq ) data ( "iris" ) app % layout ( title = list ( text = "Playing with Fonts", font = t 1 ), font = t, legend = list ( title = list ( text = 'Species', font = t 2 )), xaxis = list ( title = list ( text = 'Sepal.Length', font = t 3 ))) return ( fig ) })Īfter executing this code, give app$run_server() in the console to start the dash. Note the fact that when overriding labels, the axes, legend title and hover labels reflect the specified labels automatically. Here's a figure with automatic labels and then the same figure with overridden labels. The title of your figure is up to you though! When using Plotly, your axes is automatically labelled, and it's easy to override the automation for a customized figure using the labels keyword argument. How to set the global font, title, legend-entries, and axis-titles in for plots in R. Setting the Font, Title, Legend Entries, and Axis Titles in R We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials. Plotly is a free and open-source graphing library for R. How to set the global font, title, legend-entries, and axis-titles in R. Setting the Font, Title, Legend Entries, and Axis Titles
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |