This is a repeat of a common question, but I've spent 4 hours reading responses and I still can't make sense of them and my code throws errors or returns unexpected results.
This task is so simple that it should be no more than a single line of code. Responses are either walls of code or they execute the scatter plot by doing a separate plt.scatter
call for each class, which I don't want to do.
How do I make a legend for this? X and y data was fabricated with make_blobs
.
map = {0: 'red', 1:'green', 2:"blue"}
plt.scatter(X[:,0], X[:,1], c=[map[i] for i in y])
All I want is a legend that looks like:
(red dot): 0
(green dot): 1
(blue dot): 2
ffs
CodePudding user response:
as the full code is not available, I am just creating dummy data with 4 entries to demonstrate how to create scatter plot with the 3 colors you are talking about. This will create the legend based on what you enter in map
.
import matplotlib.pyplot as plt
data = {'x1': [1, 3, 6, 9], #Your X values
'x2':[15, 11, 5, 8], #Your Y values
'y': [0,1,2,1]} #The colors you want for each circle
X=pd.DataFrame(data)
map = {0: 'red', 1:'green', 2:"blue"}
fig, ax = plt.subplots()
for g in X.y.unique(): #For each group R/G/B
ix = np.where(X.y == g)
ax.scatter(X.x1[ix[0]], X.x2[ix[0]], c = map[g], label = map[g], s = 50) #Draw with said color
ax.legend()
plt.show()
Output graph