Reputation: 10403
I'm plotting data from a dict which has three keys:
[u'Ferronikel', u'Nicromo', u'Alambre_1']
And each one of this have several params like resistances, voltage an a like so I'm using a function to plot the values easily.
def graficar_parametro(x,y):
d_unidades = {'I':'A','V':'V','R':'ohm','T':'C','P':'W/m'}
for alambre in sorted(alambres.keys()):
model = sklearn.linear_model.LinearRegression()
X = alambres[alambre]['mediciones'][x].reshape(-1, 1)
Y = alambres[alambre]['mediciones'][y].reshape(-1, 1)
model.fit(X,Y)
x_label = d_unidades[x]
y_label = d_unidades[y]
plt.legend(sorted(alambres.keys()))
plt.xlabel(x_label)
plt.ylabel(y_label)
plt.plot(X,Y,'8',
X, model.predict(X),'-')
plt.title('Heating wires')
plt.show()
To plot Voltage vs current I run:
graficar_parametro('I','V')
And got this images:
But there the colors are wrong:
Blue dots correspond to 'Alambre_1' that one is fine, but yellow dots should be labeled as 'Nicromo' and ferronikel should have the red dots not a green line.
I thought to use sorted
would solve the issue, but it doesn't fix it.
for alambre in sorted(alambres.keys()):
plt.legend(sorted(alambres.keys()))
Upvotes: 0
Views: 84
Reputation: 2936
One way to do so is to make storage for matplotlib objects. And you need to distinguish dot- and line-plots.
def graficar_parametro(x,y):
d_unidades = {'I':'A','V':'V','R':'ohm','T':'C','P':'W/m'}
leg = [] # Storage for plots we want to legend
for alambre in sorted(alambres.keys()):
model = sklearn.linear_model.LinearRegression()
X = alambres[alambre]['mediciones'][x].reshape(-1, 1)
Y = alambres[alambre]['mediciones'][y].reshape(-1, 1)
model.fit(X,Y)
x_label = d_unidades[x]
y_label = d_unidades[y]
plt.xlabel(x_label)
plt.ylabel(y_label)
dots, = plt.plot(X,Y,'8')
line, = plt.plot(X, model.predict(X),'-')
leg.append(line) # Choose what symbols will be represented in legend
plt.legend(leg, sorted(alambres.keys())) # Legend
plt.title('Heating wires')
plt.show()
If you want that both dots and lines were represented in legend, append to leg
like this:
leg.append((dots, line))
Upvotes: 1