最直接的方法就是多次调用 plot。例如: plot(x1, y1, ‘bo’) plot(x2, y2, ‘go’) 或者,如果你的数据已经是一个2d 数组,你可以直接传递给 x,y。将为每一列绘制一个单独的数据集。 Example: an array a where the first column represents the x values and the other columns are the y columns...
x1=np.array([i*0.5foriinrange(10)])x2=np.array([i*0.5foriinrange(15)])y1=x1*1.0y2=x2*1.5fig,ax=plt.subplots()# Create a figure and an axes.ax.plot(x1,y1,label='legend_line1')# Plot some data on the axes.ax.plot(x2,y2,label='legend_line2')# Plot more data on the...
arr=np.array([[1,2,3],[4,5,6],[7,8,9]])# 获取第一行第二列的元素(索引从0开始)print(arr[0,1])# 切片获取第一行所有元素print(arr[0,:])# 切片获取第二列所有元素print(arr[:,1]) NumPy 数组支持丰富的数学运算,这些运算都是基于元素级别的,能够高效地对整个数组进行操作,无需编写循环。
x=np.arange(0,4*np.pi,0.1)y_sin=np.sin(x)y_cos=np.cos(x)# Plot the points using matplotlib plt.plot(x,y_sin)plt.plot(x,y_cos)plt.xlabel('x axis label')plt.ylabel('y axis label')plt.title('Sine and Cosine')plt.legend(['Sine','Cosine'])plt.show() 最后介绍一下图片如何...
plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='summer') ax.set_xlabel('x') ax.set_ylabel('y') ax.set_zlabel('z') ax.set_zlim(-1.5,1.5) plt.show() 本期的介绍就到这里了,文中代码可以横向滑动浏览,为方便实操,相关的代码和样例存已存放至百度网盘,链接: https://pan.baidu....
(size=1,color=pos_lin_bin,# set color to an array/list of desired valuescolorscale='jet',# choose a colorscaleopacity=0.8)),row=1,col=1)# row 1 col 2: Position trajectoryfig.add_trace(go.Scatter(x=pos_x,y=pos_y,mode='markers',marker=dict(size=1,color=pos_lin_bin,colorscale...
1.Recurrence Plot (递归图) 2.Markov Transition Field (马尔可夫变迁场) 3. Gramian Angular Field (格拉米角场) 一、利用PIL库 话不多说上代码。 1 2 3 4 5 6 7 8 9 10 11 12 13 14 importnumpy as np fromPILimportImage ''' 读取时间序列的数据 ...
检查一下你使用的matplotlib版本，因为小提琴图（violinplots）只有在matplotlib 1.4及以上的版本才可以...
Thefoundationof Python visualization. Offers a wide array of customizable 2D plots and anextensive set of toolsfor creating intricate figures and charts. Tutorial Seaborn Built atop Matplotlib, Seabornelevatesdata visualization by providing a higher-level interface and stunning default themes. ...
Seaborn:_determine_cmap_paramsinxarray/core/plot/utils.py Xarray also bundles portions of CPython, which is available under the "Python Software Foundation License" inxarray/core/pycompat.py. Xarray uses icons from the icomoon package (free version), which is available under the "CC BY 4.0"...