plt.ylabel("因变量") x=np.arange(-5,5,0.1) y=np.cos(x) y1=np.sin(x) #5、画画材料准备 #plot画折线,bar是柱状图,pie是饼图、scatter散点图 plt.plot(x,y,color="red",linestyle="dotted",linewidth=0.5,marker="*",label="余弦曲线") plt.plot(x,y1,color="blue",linestyle="dashed",li...
plt.plot(x, y2, color = "red", linewidth=1.0, linestyle='--') plt.show() """ # 曲线的颜色属性(color)为红色;曲线的宽度(linewidth)为1.0; 曲线的类型(linestyle)为虚线. 使用plt.show显示图像 """ def lineChart4(): """设置座标轴样式""" x = np.linspace(-3, 3, 50) y1 = 2 * ...
这里偷懒从官网复制过来的Line2D的所有属性,可以看出来很多我们在学习plt.plot()绘图的时候都已经见过,可以再回去看看plot()的介绍。下面还是会选几个常用的,举例子来说明一下怎么使用即可。 举例: 第一个是set_color,设置线的颜色,等价于set_c fig = plt.figure() fig.suptitle('Figure: sample for Line2D'...
if'c'and'color'notinkw: kw['color']='r' fig=plt.figure() plt.title(name) plt.xlabel(xlabel) plt.ylabel(ylabel) plt.plot(*args,**kw) plt.grid() plt.show() #import numpy as np #a = np.arange(36) #plot_line(a,name='chart',xlabel='count')...
plt.plot(data2) plt.show() 这段代码绘制了两个窗口的图形,它们各自是一个不同区间的线形图,如下所示: 注:初始状态这两个窗口是完全重合的。 多个subplot 有些情况下,我们是希望在同一个窗口显示多个图形。此时就这可以用多个subplot。下面是一段代码示例: ...
'''线条属性color:线条颜色,值r表示红色(red)marker:点的形状,值o表示点为圆圈标记(circle marker)linestyle:线条的形状,值dashed表示用虚线连接各点'''plt.plot(x,y,color='r',marker='o',linestyle='dashed')#plt.plot(x, y, 'ro')'''axis:坐标轴范围语法为axis[xmin, xmax, ymin, ymax],也就...
guiqwt: Python tools for curve and image plotting ℹ️ Created in 2009 by Pierre Raybaut and maintained by the PlotPyStack organization. Important note guiqwt has been replaced by PlotPy which is a complete rewrite of the library, under more permissive license terms (BSD) with a lot of ...
PlotDevice is a Macintosh application used for computational graphic design. It provides an interactive Python environment where you can create two-dimensional graphics and output them in a variety of vector, bitmap, and animation formats. It is meant both as a sketch environment for exploring gene...
plt.plot(x, y, linewidth=2.0) 2、利用setter方法 line1, line2 = plot(x1,y1,x2,y2) line.set_antialiased(False) # turn off antialising 3、使用setp()命令 lines = plt.plot(x1, y1, x2, y2) # use keyword args plt.setp(lines, color='r', linewidth=2.0) ...
import numpy as np import matplotlib.pyplot as plt # 生成随机数据 x = np.random.randn(1000) y = np.random.randn(1000) # 创建2D密度图/热图 plt.hist2d(x, y, bins=40, cmap='hot') # 添加颜色条 plt.colorbar() # 添加标题和轴标签 plt.title('2D Density Plot') plt.xlabel('X') pl...