1.1 使用text()函数 text()函数的基本语法如下: importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.text(x,y,'Text content',fontsize=12,color='red')ax.set_xlim(0,10)ax.set_ylim(0,10)ax.set_title('How to add text in Matplotlib - how2matplotlib.com')plt.show() Python Copy 在这个...
math.pi*2, 0.05) y = np.sin(x) fig = plt.figure() ax=fig.add_axes([0.1,0.1,0....
fig=plt.figure(figsize=(8,4))ax=fig.add_subplot(1,1,1)ax.plot(X2,3*Y2,color="k",linewidth=0.75)ax.fill_between(X2,3*Y2,color=cmap(0.6))circ1=patches.Circle((1,1),0.3,color='r',fill=False,transform=fig.transFigure)circ2=patches.Circle((1,1),0.3,color='g',fill=False,tr...
# 设置图像大小 plt.figure(figsize=(10,10)) plt.imshow( a, # 数据 cmap='gray', # 配色,gray灰度 interpolation='lanczos', # 渲染,模糊 ) # 设置x轴,y轴内容 plt.xticks([0,1,2,3,4,5,6,7,8,9]) plt.yticks([0,1,2,3,4,5,6,7,8,9]) plt.grid() # 网格 plt.colorbar() #...
importmatplotlib.pyplotaspltimportnumpyasnp# 生成数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图表plt.figure(figsize=(10,6))plt.plot(x,y)# 在图表内部添加标题plt.text(5,0.8,'Sine Wave - how2matplotlib.com',fontsize=16,fontweight='bold',ha='center')# 设置坐标轴标签plt.xlabel('X-...
figure(figsize = (8, 4)) #绘制第一个图,设置起始基准位置为y=0 ax1 = fig.add_subplot(121) ax1.fill_between(sel_df1['new_date'], sel_df1['pm2_5'].values, y2 = 0) ax1.set_ylim(0, sel_df['pm2_5'].max()) fig.autofmt_xdate() #自适应x时间轴 #绘制多系列的面积图 ax2 =...
matplotlib中axes和figure matplotlib中axes和figure的作用 Axes类 用法: classmatplotlib.axes.Axes(fig, rect, facecolor=None, frameon=True, sharex=None, sharey=None, label='', xscale=None, yscale=None, box_aspect=None, **kwargs)[source]
fig = plt.figure(figsize = (10,10),dpi = 80) # 创建画布。大小10x10,像素80 x = np.linspace(0,1,1000) # 通过numpy生成随机数 fig.add_subplot(2,1,1) # 分为2x1图形阵,选择第一张图片绘图 plt.title('y=x^2 or y=x') # 添加标题 ...
fig = plt.figure(figsize=(6, 5))plt.subplots_adjust(bottom = 0., left = 0, top = 1., right = 1)# 创建第一个轴,左上角的图用绿色的图sub1 = fig.add_subplot(2,2,1) # 两行两列,第一单元格# 创建第二个轴,即左上角的橙色轴sub2 = fig.add_subplot(2,2,2) # 两行两列,第...
fig = plt.figure()# 3D projectionax = plt.axes(projection ='3d')# Define axesz = [0, 1, 2, 3] x = [4, 5, 6, 7] y = [1, 8, 9, 5]# plottingax.plot3D(x, y, z, 'green')# add textax.text(4, 4,1, "plot a point")# display graphplt.show() ...