将图例添加到子图 matplotlib
adding legend to a subplot matplotlib
我有以下数据框（出于安全原因进行了简化）：
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'C'], [2.2712661247595887, -0.8960707283107315, 'C'], [1.2402850213944012, -3.6348074322476056, 'C'], [-0.3704320551931987, -1.3966574621948589, 'C'], [10.59369072217267, 5.063370086272745, 'C'], [7.388162919594694, 3.2530347772626085, 'C'], [5.074167549425396, -2.616255955565353, 'D'], [6.015804612050362, -2.428070159933407, 'D'], [8.886710081651788, 0.06251626043708561, 'D'], [8.04345129509809, -0.42855094118916953, 'D'], [7.5867398899867995, -0.35816408207813816, 'D'], [4.745999193692063, -3.01272153238224, 'D'], [17.26178347959192, 3.6904816061952608, 'D'], [11.012544268630574, 1.2796512711456722, 'D'], [11.952051954648535, 2.274670680774901, 'D'], [4.57247777825687, -2.740539006829948, 'D'], [4.64712122875631, -2.9541760750503148, 'D'], [9.822119025017109, 1.114596244101624, 'D'], [5.10813665885816, -2.5117620420661098, 'D'], [5.241282203885775, -2.785619655460366, 'D'], [4.348640406623504, -3.028668176390842, 'D'], [10.291138396478695, 1.4519674624623602, 'D'], 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[-2.1391157194198955, -0.35966062691412143, 'B'], [-2.0561793218125906, -0.4878697696741051, 'B'], [-0.8070328764507083, 0.7139337454107234, 'B'], [-0.6968579945821873, 1.1434692996521818, 'B'], [-2.3526738583605917, -0.20957185223025143, 'B'], [-0.7585178997937219, -0.904787509339181, 'B'], [3.2457790366169634, 1.650743098214606, 'B'], [0.3284646238578842, 0.24071040358540596, 'B'], [-1.4957934160157627, -1.2669962800304935, 'B'], [-1.5382403984088373, 0.0239536561604769, 'B'], [-1.2594390015524441, -0.47009338598493816, 'B'], [2.5791370303408563, 1.9935734173147306, 'B']]
列名是：
columns = ['PC1', 'PC2', 'Type']
我在 matplotlib 中绘制坐标轴，所以第一行有两张图，第二行有一张。我想在第一行的其中一张图上画一个图例。
该图的简化代码为：
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()
我想创建一个图例，其中彩色点与 A、B、C 和 D 匹配。
我看到了一些类似问题的例子，但我无法将解决方案应用到我的案例中。
有什么建议吗？
谢谢！
一种方法是一次绘制一种类型：
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()
我有以下数据框（出于安全原因进行了简化）：
sc =[[-2.3626099835364505, 2.34577702722125, 'A'], [-2.0075911304000322, 2.3676265784278554, 'A'], [-2.3309505510650244, 2.1812783083023524, 'A'], [-1.3748126608960896, 2.3605935362307924, 'A'], [-0.9918749681446175, 2.6765972587442204, 'A'], [-1.6960233844360806, 2.6256112751574507, 'A'], [-1.8926044442515384, 2.411841433479522, 'A'], [-2.509005088348112, 2.2914597716406937, 'A'], [-2.783376467296819, 2.2617877355046185, 'A'], [-2.3701794705898243, 2.31330534299281, 'A'], [-3.012547659111412, 2.2641638897323975, 'A'], [-1.6504249339379615, 2.3510487897219785, 'A'], [-1.6916463998349789, 2.1375490151536938, 'A'], [-1.3921736690141497, 2.3796366201969534, 'A'], [-1.0454151584166034, 2.4333124976786764, 'A'], [-2.2636703663095994, 1.9815839702975608, 'A'], [-2.307772192142976, 2.2627171528903007, 'A'], [-2.8410883083948275, 2.0652038990612898, 'A'], [-0.8487687115058202, 2.3340248207393577, 'A'], [-1.7027184356080671, 2.4904590741004564, 'A'], [-0.620252351439105, 2.8791509397053066, 'A'], [-4.768367973794037, 0.3140632669071711, 'A'], [-3.9811196194627336, 1.0617567150372336, 'A'], [-4.612631199107817, 0.9271772602763483, 'A'], [-3.604095826144104, 1.4996614123589516, 'A'], [-4.134541094094984, 1.146587562693302, 'A'], [-3.770069188034946, 0.9564678612963834, 'A'], [-4.76057382315683, 1.173989580775522, 'A'], [-4.490301442943034, 5.217214316331541, 'A'], [-4.74475825871379, 4.087505269840572, 'A'], [-4.462228289636768, 4.524645688991954, 'A'], [-3.818689567770223, 5.094498457908875, 'A'], [-4.612820931189715, 4.492748648280875, 'A'], [-5.346543617692401, 3.376496558926699, 'A'], [-5.38640878798411, 3.608189391965011, 'A'], [-4.521895718169117, 3.0017548909807146, 'A'], [-4.9591446736323554, 2.5644386133570847, 'A'], [-4.707996645744058, 3.7093033543312837, 'A'], [-4.212647650130087, 2.519714565249968, 'A'], [-6.015685902047046, 3.6326027578785935, 'A'], [-5.596960825485442, 2.42980262296789, 'A'], [-6.201489937139624, 3.092070633568435, 'A'], [-4.4735030575623576, 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[-2.1391157194198955, -0.35966062691412143, 'B'], [-2.0561793218125906, -0.4878697696741051, 'B'], [-0.8070328764507083, 0.7139337454107234, 'B'], [-0.6968579945821873, 1.1434692996521818, 'B'], [-2.3526738583605917, -0.20957185223025143, 'B'], [-0.7585178997937219, -0.904787509339181, 'B'], [3.2457790366169634, 1.650743098214606, 'B'], [0.3284646238578842, 0.24071040358540596, 'B'], [-1.4957934160157627, -1.2669962800304935, 'B'], [-1.5382403984088373, 0.0239536561604769, 'B'], [-1.2594390015524441, -0.47009338598493816, 'B'], [2.5791370303408563, 1.9935734173147306, 'B']]
列名是：
columns = ['PC1', 'PC2', 'Type']
我在 matplotlib 中绘制坐标轴，所以第一行有两张图，第二行有一张。我想在第一行的其中一张图上画一个图例。
该图的简化代码为：
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()
我想创建一个图例，其中彩色点与 A、B、C 和 D 匹配。
我看到了一些类似问题的例子，但我无法将解决方案应用到我的案例中。
有什么建议吗？
谢谢！
一种方法是一次绘制一种类型：
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()