2,3,4],[1,4,2,3],label='Line from how2matplotlib.com')ax2.set_title('Without axes and ticks')# Remove axes and ticksax2.spines['top'].set_visible(False)ax2.spines['right'].set
importmatplotlib.pyplotaspltdefon_click1(event):print("Callback 1: Click detected")defon_click2(event):print("Callback 2: Click coordinates:",event.xdata,event.ydata)fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.set_title('Click to trigger ...
=ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.set_title('Before removing the line')# 显示图形plt.show()# 移除线条line.remove()ax.set_title('After removing the line')# 重新显示图形plt.show()
importmatplotlib.pyplotaspltdefon_click(event):print(f"Clicked at position:{event.xdata},{event.ydata}")fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.set_title('Click on the plot')cid=ax.callbacks.connect('button_press_event',on_click)# ...
import matplotlib.pyplot as plt # Create a user-defined function called hide() def hide(): # Create a figure object fig = plt.figure(figsize=(9, 9)) # Create an axes object ax = plt.axes() # Hiding the left axis ax.spines.top.set_visible(False) ...
We could use get_legend().remove() and set_visible() methods to remove legend from a figure in Matplotlib. We can also remove legend from a figure in Matplotlib by setting legend to _nolegend_ in plot() method, axes.legend to None and figure.legends to e
Matplotlib是Python中的一個庫,它是數字的-NumPy庫的數學擴展。的Artist類包含呈現對象的Abstract基類到一個FigureCanvas中。圖中所有可見元素都是Artist的子類。 Matplotlib.artist.Artist.remove()方法 matplotlib庫的藝術家模塊中的remove()方法用於在可能的情況下從圖中刪除藝術家。
from .proj import _has_eeg_average_ref_proj, make_eeg_average_ref_proj, setup_proj def _copy_channel(inst, ch_name, new_ch_name): """Add a copy of a channel specified by ch_name. Input data can be in the form of Raw, Epochs or Evoked. The instance object is modified inplace....
import matplotlib.pyplot as plt import numpy as np # Create a user-defined function to plot the graph def legend_outside(x,y1,y2): # Create the figure object fig = plt.figure(figsize=(9, 9)) # Create the axes object ax = plt.subplot(111) ...
% Label axes xlabelx ylabely zlabelv gridon end Change it to be: ThemeCopy iftrue % Plot fit with data. figure('Name','untitled fit 1'); h = plot(fitresult); legend( h,'untitled fit 1','v vs. x, y','Location','NorthEast'); ...