We can see that we have a legend with colors but not the variable names. Our first attempt to add legends did not work well. Plt.savefig("scatterplot_colored_by_variable_legend_first_try_matplotlib_Python.png", Matplotlib is a multiplatform data visualization library that is used to produce 2D plots of arrays, such as a line, scatter, bar etc. So you have to create a 'dummy plot' with the same characteristics and put those in the legend. Plt.legend(handles=scatter.legend_elements(), The problem is that the legend function dont support the type returned by a 3D scatter. Scatter = plt.scatter(df.culmen_length_mm, In legend(), we specify title and handles by extracting legend elements from the plot. We can try to add legend to the scatterplot colored by a variable, by using legend() function in Matplotlib. Add Color to Scatterplot by variable in Matplotlib Adding legend to Matplotlib scatte plot Note that the scatter plot colored by a variable is missing legend to describe the meaning of the clusters we see. Plt.savefig("scatterplot_point_colored_by_variable_matplotlib_Python.png", We use “c” argument in scatter() function to color data points by species variable in the dataframe.Ĭ=df.species.astype('category').cat.codes) # legend with box,title, background and title font Title: The title of the legend text.font: an integer specifying the font style of the legend text possible values are : Font of that title can be assigned with text.font keyword. Title is added to the legend using Title keyword. So the resultant plot will have green color box, with light blue back ground # legend with green color box and with light blue back ground and the background of this box is filled with light blue using bg= “lightblue” as shown below. The effect of using each of these keywords are shown in the figure below :Īdd legend Box and background color to legend box:Ī Green color box is added to the legend using box.col=”green”. The position of the legend can be specified also using the following keywords : “bottomright”, “bottom”, “bottomleft”, “left”, “topleft”, “top”, “topright”, “right” and “center”. If there's another way to make a legend, I wasn't able to find it after a few quick searches in the docs. Since the legends were covering datapoints I moved them, and the locations for legends can be found here. In the above function we have added legend to the top right corner of the graph at co-ordinates x= 4 and y=7 so the output will be The fact that legend items are linked to traces means that when using discrete color, a figure must have one trace per color in order to get a meaningful legend. The first method is the one I've personally used, the second I just found looking at the matplotlib documentation. In the above function we have added legend to the top left corner of the graph at co-ordinates x= -3 and y=7 so the output will beĪdd legend to the top right corner of the plot with legend function in R: # adding legend to the top right corner of the plot Now let’s add the legend to the above scatter plot with legend function in R, to make it more readable # adding legend to the top left of the plot #plot an another scatter plot with points functionĪdd legend to the top left corner of the plot with legend function in R: Now, lets again add an another sets of scatter plot with point function with blue color pyramids as shown below. Before that lets create basic scatter plot using plot() function with red colored rounded dots as shown below. #SCATTER PLOT MATPLOTLIB LEGEND HOW TO#Let’s depict how to create legend in R with an example. The plotting symbols appearing in the legend The line types and widths for lines appearing in the legend. The color of points or lines appearing in the legend. The x and y co-ordinates which is used to position the legend.įill legend box with the specified colors. Legend(x, y = NULL, legend, fill = NULL, col = par(“col”),border = “black”, lty, lwd, pch) x, y
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