Matplotlib subplot legend3/20/2023 fig, axs = plt.subplots(2,3)Īxs.plot(global_epsilon_T(), global_epsilon_T(), color=j, linewidth=1, label = "(c) "+i)Īxs.plot(global_epsilon_B(), global_epsilon_B(), color=j, linewidth=1, label = "(c) "+i)Īxs.plot(global_slope(), global_slope(), color=j, linewidth=1, label = "(c) "+i)Īxs.plot(global_trb(), global_trb(), color=j, linewidth=1, label = "(c) "+i)Īxs. (2) place the legend in the empty space of subplot (1,3). ![]() (1) unique legend with fig.legend(), the legend is full of duplicated lines, I want to create the legend purely based on the name of the line I got the subplots, with the right format but am having a hard time to get: There are six lines in each subplot and I want to make legend for this. I'm trying to create 5 subplots in the format of (2,3) with (1,3) being empty space, where I want to place the legend. is set the same for all the subplots (eg. to have one definition for all subplots or how to control the seaborn default? To make clear goal, how to have a legend as in Subplot 1 where the labels come automatically from the data (but I can change them) and the location, font size. import matplotlib as mpl from matplotlib import cycler import matplotlib.pyplot as plt import numpy as np Fixing random state for reproducibility np.ed(19680801) N 10 data (np.geomspace(1, 10, 100) + np.random.randn(N, 100)).T cmap plt.cm.coolwarm mpl.rcParams'axes.propcycle' cycler(colorcmap(np.linspace(0, 1, N))) fig, ax. ) Copy See also the Matplotlib legend guide. In order to show all four lines in the legend, you need to provide a reference to the lines to the legend plt. If I use plt.legend(), it only affects the Subplot before it (Subplot 4 in this case). Common legend for subplot matplotlib 12,655 Of course you need to show the legend on one of the subplots. ![]() If I use ax.legend() as in Subplot 2, then I can modify specific subplot but I lose the seaborn 'hue' feature (notice that the "sex" disappears) and it does not follow my font definitions. How to Remove the Legend in Matplotlib - GeeksforGeeks A Computer Science portal for geeks. However, I'm not able to control its location (it has some default, see the difference between 1 and 3). It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. If I use simply seaborn, I get a legend as in Subplot 1 and 3 - it has the 'hue' label and follows defined font size. A better solution would use the specially designed ConnectionPatch: import matplotlib. Sns.swarmplot(x= 'day', y= 'total_bill', hue="sex", Drawing Lines Between Two Plots in Matplotlib Drawing lines between two plots in Matplotlib The solution from the other answers are suboptimal in many cases (as they would only work if no changes are made to the plot after calculating the points). Sns.boxplot(x= 'day', y= 'total_bill', hue="sex", Sns.swarmplot(x= 'day', y= 'tip', hue="sex", Plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure titleįig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(16,12)) Plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize Plt.rc('ytick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels Plt.rc('xtick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels Plt.rc('axes', labelsize=BIGGER_SIZE) # fontsize of the x and y labels ![]() Plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title Plt.rc('font', size=SMALL_SIZE) # controls default text sizes import matplotlib.pyplot as plt plt.subplot(211) plt.plot(1,2,3. Let's take the seaborn Smokers data set to illustrate it on: import seaborn as sns This legend guide is an extension of the documentation available at legend() - please. This is a wrapper of Figure. My second question is practical and showing my problems. To make clear goal, how to have a legend as in Subplot 1 where the labels come automatically from the data (but I can change them) and the location, font size. (args, kwargs) source Add an Axes to the current figure or retrieve an existing Axes. have this legend in all subplots in this loc) and then overwrite this definition for specific subplots (eg by ax.legend())? My first question is, could someone please explain to me how those go together, how they work and if I have subplots, what is superior to what? Meaning can I set a general definition (eg. Adding a legend entry with two curves on same entry, python matplotlib. I have been playing a bit with plt.legend() and ax.legend() and legend from seaborn itself and I think I'm missing something.
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