I have added this, and wrote a complete script: # Modules #Īxes = seaborn. I am having a hard time figuring out how to increase the font size of the legend appearing in the plot. My aim is to keep the legend that is outside of the figure, remove the one thats inside the figure and also somehow stop the weird cropping that is cutting off the right side of the legend outside the figure. I have the following codes to create a Seaborn strip plot. He produced the necessary syntax I was needing, but as he pointed out, was missing a way to calculate how many lines of legend are required for splitting the legend. I cant figure out why two are being plotted and I havent been able to remove one of them. Dual y-axis plot using seaborn objects (v0. How to use secondary Y-axis for multiple subplots in seaborn. Twin2.tick_params(axis='y', colors=p3.I took Diziet's answer and expanded on it. I do something like take lin1, lbl1 ax1.getlegendhandleslabels() for both axes, ax1 and ax2. Twin1.tick_params(axis='y', colors=p2.get_color(), **tkw) If = ax.bbox.bounds]).tolist()Īx2.legend(handles=h, labels=l, loc='upper right')Īs provided in the example from, a clean way to implement a single legend from multiple axes is with plot handles: import matplotlib.pyplot as plt Then creating the legend needs to be done manually. This means you can create a colormap from the colors, including alpha, that you like and create a scatter plot. H, l = np.hstack([axis.get_legend_handles_labels() I dont think its possible with seaborn (though someone might prove me wrong on this one), but you can always just use matplotlib in the usual way. # The only specificity of the code is when plotting the legend Lines2, labels2 = ax2.get_legend_handles_labels()Īx2.legend(lines + lines2, labels + labels2, loc=0)Īx.set_ylabel(r"Radiation ($MJ\,m^].twinx()', c='C1') Lines, labels = ax.get_legend_handles_labels() You can create lists of colors and markers to be used at each call, and also. Then, each column will be plotted on the same axes the first call will generate. # ask matplotlib for the plotted objects and their labels Another solution, if you don't want to reshape the dataframe, will be calling sns.scatterplot several times, each time with a different column you'd like to plot in the y parameter. I have the following legend that Id like to change: Id like to change the titles from State to Place and Transition to Kilometers and the labels underneath State need to change from 0 to City, 1 to Rural, and 2 to Other.Id also like to change Transition values to integers instead of floats. For instance, the docs to seaborn.kdeplot include: ax : matplotlib axis, optional Axis to plot on, otherwise uses current axis. Im particularly interested in showing the data in intervals of 200. seaborn function that operate on a single Axes can take one as an argument. In other words, I want the y-axis values shown in the above plot to be 0, 5, 10, 15, 20, 25, and 30. Swdown = 400 / np.sqrt (2 * pi * 3**2) * np.exp (-((time - 13)**2 / (3**2))**2)Īx.plot(time, Swdown, '-', label = 'Swdown')Īx2.plot(time, temp, '-r', label = 'temp') 1) Change the scale of the y-axis by multiplying its values by 10000 and, if its possible, add a sign to the numbers. I'm not sure if this functionality is new, but you can also use the get_legend_handles_labels() method rather than keeping track of lines and labels yourself: import numpy as np
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |