If i =0:#if statement so only one of the plots has legend='full'įig.legend(bbox_to_anchor=(1, 0.7), loc=2, borderaxespad=0.) #Move the legend outside the plotĪ.legend_. Xy_labels = įor i,(x_label,y_label) in enumerate(xy_labels): 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. Using matplotlib, I wrote a custom function that groups the dataframe by 'Legendary','Stage', and then iterates through each group for the plotting (see results below). I cant figure out why two are being plotted and I havent been able to remove one of them. However, I want to data to be grouped by both Stage and Legendary. Doing it properly is better than hacking your way to the solution. I want to plot on the x-axis the pokedex, and the y-axis the Attack. If this problem is arising out of an "uncoventional" way of plotting the type of figure I'm trying to make, then please let me know. Sadly neither of the answers that worked in that question work here. Set a new title that is actually a title. I had a previous question asking something similar, but that issue was solved by using seaborns scatterplot instead of the relplot. Remove the default seaborn title, which is actually a legend entry, by getting and slicing the handles and labels. In most cases, you will want to work with those functions. The figure-level functions are built on top of the objects discussed in this chapter of the tutorial. 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. Matplotlib offers good support for making figures with multiple axes seaborn builds on top of this to directly link the structure of the plot to the structure of your dataset. I can't figure out why two are being plotted and I havent been able to remove one of them. Draw Seaborn Scatter Plot to find relationship between age and fare. Also, if you are using scatter plots, use scatterpoints1 rather than numpoints1 in the legend call to have only one point for each legend entry. you can follow any one method to create a scatter plot from given below. Using the scatter method of the matplotlib.pyplot module should work (at least with matplotlib 1.2.1 with Python 2.7.5), as in the example code below. This code works for any seaborn plot which is based on Grid class.When I run the code shown below I get a figure containing 2 legends. Create a scatter plot is a simple task using sns.scatterplot () function just pass x, y, and data to it. # check axes and find which is have legend G = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips, markers=, facet_kws=) Seaborn legend is standard matplotlib legend object. Then you can perform the standard matplotlib changes to features like the x-axis, or use any of the normal controls available through the matplotlib API. I initially used lmplot () for the polynomial order. For the most flexible control with these kind of plots, create your own axes object then add the seaborn plots to it. I am looking to plot both of them in the same graph but the dependent variables have different y-axes. If legend_out is set to True then legend is available through the g._legend property and it is a part of a figure. I have 2 datasets (df3 and df4 which respectively hold information for total head and efficiency) with a common independent variable (flow rate).
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