x=np.linspace(0,10,100)y1=np.sin(x)y2=np.sin(x)*np.exp(-x/10)plt.figure(figsize=(10,6))plt.plot(x,y1,label='Curve 1')plt.plot(x,y2,label='Curve 2')plt.fill_between(x,y1,y2,color='green',alpha=0.3)plt.title('Area Between Two Curves - how2matplo...
双y轴公用一个x轴(左y轴,右y轴):可以更好的show可视化并且便于对比和省资源 不想全部的x轴数据都显示,只显示一部分,等间隔显示 存储图片 show you code 写了个小demo直接拿起来用 def draw_path_jpg_two_curves(x, y1, y2, label1, label2, file_name): import matplotlib.pyplot as plt import matp...
def plot_xG_rolling(team, ax, window = 5, color_for = "blue", color_ag = "orange", data = df): ''' This function creates a rolling average xG plot for a given team and rolling window. team (str): The team's name ax (obj): a Matplotlib axes. window (int): The number of...
In this example, we use alpha blending to create semi-transparent lines and a filled area between two curves. Thealphaparameter controls the opacity of each element, allowing for better visualization of overlapping areas. Matplotlib Color in 3D Plots Matplotlib Color can also be applied to 3D pl...
ax.plot(X_, Y_ag) 使用matplotlib倒是可以快速把图画好了,但是太丑了。接下来进行优化。 4.1 优化:添加点 这里为每一个数据添加点 fig, ax = plt.subplots(figsize = (7,3), dpi = 200)#--- Remove spines and add gridlinesax.spines["left"].set_visible(False) ...
ax.plot(X_,Y_for) ax.plot(X_,Y_ag) 1. 2. 3. 4. 使用matplotlib倒是可以快速把图画好了,但是太丑了。接下来进行优化。 4.1 优化:添加点 这里为每一个数据添加点 fig,ax=plt.subplots(figsize=(7,3),dpi=200) # --- Remove spines and add gridlines ...
Plotting curves from file data As explained earlier, matplotlib only handles plotting. If you want to plot data stored in a file, you will have to use Python code to read the file and extract the data you need. How to do it... ...
#First create some toy data: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) #Creates just a figure and only one subplot fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') #Creates two subplots and unpacks the output array immediately f, (ax1, ax2...
two curves findobj recursively find all objects matching some criteria gca return the current axes gcf return the current figure gci get the current image, or None getp get a graphics property grid set whether gridding is on 6 hexbin make a 2D hexagonal binning plot hist make a histogram ...
To create two lines, simply define aplt.plot()function for each line. import matplotlib.pyplot as plt import numpy as np y1 = np.array([3, 8, 1, 10]) y2 = np.array([6, 2, 7, 11]) plt.plot(y1) plt.plot(y2) plt.show() ...