I am trying to plot some data from a csv file. I used the Pandas to load the csv file. I am using sns.lineplot() to plot the lines. But one of the legend is always faulty. It shows a square around one of the legend.
plt.figure(dpi=150)
lin1 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="tanh"])
lin2 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="silu"])
lin3 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="swish"])
plt.xlabel("Training time (sec)")
plt.legend(("tanh", "silu", "swish"))
plt.yscale('log',base=10)
I used 3 different functions because there are more Activations. This is the resulting plot.
The plot is looking correct but the legend is creating problems. Here are versions of the plotting tools that I am using.
Python 3.9.12
matplotlib 3.6.1
matplotlib-inline 0.1.6
seaborn 0.12.1
I could not find the same issue on Internet. A kernel restart isn’t helping. Please let me know if more information is needed.
>Solution :
Try adding the label argument to the individual lineplots and then just call legend without any arguments:
plt.figure(dpi=150)
lin1 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="tanh"], label = 'tanh')
lin2 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="silu"], label = 'silu')
lin3 = sns.lineplot(x = "Training time", y = "Relative L2 error", data=df[df["Activation"]=="swish"], label = 'swish')
plt.xlabel("Training time (sec)")
plt.legend()
plt.yscale('log',base=10)