linspace(0, 10, 1000) for i in range(4): lines += ax.plot(x, np.sin(x - i * np.pi / 2), styles[i], color='black') ax.axis('equal') # Specify the lines and labels of the first legend ax.legend(lines[:2], ['line A', 'line B'], loc='upper right') # Create ...
xaxis.set_major_locator(mdates.MinuteLocator(interval=240)) # 设置刻度位置 ax.set_xticks(pd.date_range(df['time'][0], df['time'][-1], freq='4h')) # 还可以使用ax.set_xticklabels()来设置刻度的标签 # 设置开始坐标 ax.set_xlim(df['time'][0], df['time'][-1]) # 旋转x轴...
# transform=ax.transData is the default, but we'll specify it anyway ax.text(1, 5, ". Data: (1, 5)", transform=ax.transData) ## 实际坐标的位置 指定x与Y值 ax.text(0.5, 0.1, ". Axes: (0.5, 0.1)", transform=ax.transAxes) ## 图像的位置 ax.text(0.2, 0.2, ". Figure: (0....
plt.title("Interactive Plot")plt.xlabel("X-axis")plt.ylabel("Y-axis")plt.savefig("foo.png",bbox_inches='tight') 复制 Output: 9将图例放在 plot 的不同位置 importmatplotlib.pyplotasplt #Plot a line graph plt.plot([5,15],label='Rice')plt.plot([3,6],label='Oil')plt.plot([8.0010,...
ax.axis["新建1"].label.set_color('blue')"""坐标箭头"""ax.axis["xzero"].set_axisline_style("-|>")"""隐藏坐标轴"""# 方法一:隐藏上边及右边# ax.axis["right"].set_visible(False)# ax.axis["top"].set_visible(False)#方法二:可以一起写ax.axis["top",'right'].set_visible(False...
ax.axis("equal")#设置图像显示的时候XY轴比例 ax.set_xlabel('HorizontalPosition') ax.set_ylabel('VerticalPosition') ax.set_title('Vesseltrajectory') plt.grid(True)#添加网格 plt.ion()#interactivemodeon IniObsX=0000 IniObsY=4000 IniObsAngle=135 IniObsSpeed=10*math.sqrt(2)#米/秒 print('...
linspace(0, 10, 1000) for i in range(4): lines += ax.plot(x, np.sin(x - i * np.pi / 2), styles[i], color='black') ax.axis('equal') # specify the lines and labels of the first legend ax.legend(lines[:2], ['line A', 'line B'], loc='upper right', frameon=False...
xmax) # set the xlim to xmin, xmax If you do not specify args, you can pass *xmin* or *xmax* as kwargs, i.e.:: xlim(xmax=3) # adjust the max leaving min unchanged xlim(xmin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the x-axis. ...
You need to specify the number of rows and columns and the number of the plot. Note that the gridspec command is a more powerful alternative.
of the axis lengths in display units is x:y:z. If None, defaults to 4:4:3 zoom : float Control overall size of the Axes3D in the figure. """ ifaspectisNone: aspect=np.asarray((4,4,3),dtype=float) else: orig_aspect=aspect ...