adding legend to a subplot matplotlib-CodePudding

I have the following dataframe (simplified for security reasons):

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The column names are:

columns = ['PC1', 'PC2', 'Type']

I'm plotting axes in matplotlib, so I have two graphs in the first row and one in the second row. I want to draw a legend on one of the graphs in the first row.

The simplified code of this graph is:

x1 = sc['PC1']
y1 = sc['PC2']

groups = ('A', 'B', 'C', 'D')
colors1 = {'A':'tab:red', 'B':'tab:blue', 'C':'tab:green', 'D':'tab:purple'}

f = plt.figure(figsize=(10,10))

ax3 = f.add_subplot(111)
ax3.scatter(x1, y1, color=sc['Type'].map(colors1) ,label=[d for d in groups])

ax3.set(xlabel = "$t_1$",
        ylabel = "$t_2$")

ax3.axhline(y=0, xmin=-10, xmax=20, color='k', linestyle='--', linewidth=0.75)
ax3.axvline(x=0, ymin=-10, ymax=20, color='k', linestyle='--', linewidth=0.75)

ax3.legend()

plt.show()

I want to create a legend where colored points match A, B, C, and D.

I saw some examples of similar questions, but I couldn't apply the solutions to my case.

Any tips?

Thank you!

CodePudding user response：

One way Is to plot one Type at a time:

groups = ('A', 'B', 'C', 'D')
colors1 = {'A':'tab:red', 'B':'tab:blue', 'C':'tab:green', 'D':'tab:purple'}

f = plt.figure(figsize=(10,10))

ax3 = f.add_subplot(111)
for label in groups:
    x1 = sc.loc[sc['Type'].eq(label), 'PC1']
    y1 = sc.loc[sc['Type'].eq(label), 'PC2']
    ax3.scatter(x1, y1, color=colors1[label], label=label)

ax3.set(xlabel = "$t_1$",
        ylabel = "$t_2$")

ax3.axhline(y=0, xmin=-10, xmax=20, color='k', linestyle='--', linewidth=0.75)
ax3.axvline(x=0, ymin=-10, ymax=20, color='k', linestyle='--', linewidth=0.75)

ax3.legend()

plt.show()