ax.set_ylabel("y Axis label", fontsize=14) 设置坐标轴spine是否可见 ax.spines['top'].set_visible(False)ax.spines['right'].set_visible(False) 官网例子 importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.patchesimportCirclefrommatplotlib.patheffectsimportwithStrokefrommatplotlib.tickerimportAutoMino...
2.5 labelsize和labelcolor参数 ‘labelsize’和’labelcolor’参数分别控制刻度标签的大小和颜色。 importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])ax.xaxis.set_tick_params(labelsize=14,labelcolor='red')plt.title('Custom Label Size and Color - how2m...
6))x=np.linspace(0,10,11)y=np.sin(x)ax.plot(x,y,label='how2matplotlib.com')# 获取x轴的刻度标签x_labels=ax.xaxis.get_ticklabels()# 只显示偶数位置的刻度标签fori,labelinenumerate(x_labels):ifi%2!
l1,= plt.plot(x,y2,label='up')#label线的名字l2, = plt.plot(x,y1,color='red',linewidth=1.0,linestyle ='--',label='down') plt.legend(handles=[l1,l2,],labels=['a1','a2'],loc='best')#handles,labels,为线取名用,l1,l2必须逗号结尾 #loc=location best:自动定位一个较空的位置;或c...
Matplotlib从入门到精通:Axes与Axis 使用图例 后面会专门出一期图例的推文,这里先暂时了解一下 fig, ax = plt.subplots(figsize=(3.5,2.5))x = np.linspace(1, 10)ax.plot(x , x+2, label='$y=x+2$')ax.plot(x, x*x, label='$y=x^2$')ax.plot(x, 4*x*x + 3*x + 1, label='$y=...
axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: import matplotlib.ticker as ticker fig = plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") # 创建格式化对象
# 设置x轴label的位置为(0.-0.1) axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: importmatplotlib.ticker as ticker fig =plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") ...
axes.xaxis.set_label_coords(0,-0.1) 1. 2. 3. 4. 5. 6. 2. 设置刻度上的刻度格式: import matplotlib.ticker as ticker fig = plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") ...
importmatplotlib.pyplotaspltplt.figure(dpi=100)#plt.style.use('seaborn-whitegrid')plt.plot([1,2,3],label='legend1',#label添加图例名称)plt.plot([2,4,6],label='legend2',#label添加图例名称)legend=plt.legend(loc=9,#图例位置bbox_to_anchor=(0.45,1),#控制图例相对于figure,这里不是axes的...
Bug summary When I using bar_label(..., label_type = 'edge', ...), for value is under 0, label is cover up the y-axis. Code for reproduction fig, ax = plt.subplots(figsize = (10, 2)) barh = ax.barh(y = 'test1', width = 0.5, color = 'red'...