06-03 Matplotlib

matplotlib.axes<br>

import&nbsp;numpy&nbsp;as&nbsp;np&nbsp;&nbsp;<br>import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt&nbsp;&nbsp;<br>x&nbsp;=&nbsp;np.arange(0,&nbsp;100)&nbsp;&nbsp;<br>#新建figure对象<br>fig=plt.figure()<br>#新建子图1<br>ax1=fig.add_subplot(2,2,1)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br>ax1.plot(x,&nbsp;x)&nbsp;<br>#新建子图3<br>ax3=fig.add_subplot(2,2,3)<br>ax3.plot(x,&nbsp;x&nbsp;**&nbsp;2)<br>ax3.grid(color='r',&nbsp;linestyle='--',&nbsp;linewidth=1,alpha=0.3)<br>#新建子图4<br>ax4=fig.add_subplot(2,2,4)<br>ax4.plot(x,&nbsp;np.log(x))&nbsp;&nbsp;<br>plt.show()<br>

import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt&nbsp;&nbsp;<br><br>#新建figure<br>fig&nbsp;=&nbsp;plt.figure()<br>#&nbsp;定义数据<br><br>x&nbsp;=&nbsp;[1,&nbsp;2,&nbsp;3,&nbsp;4,&nbsp;5,&nbsp;6,&nbsp;7]<br>y&nbsp;=&nbsp;[1,&nbsp;3,&nbsp;4,&nbsp;2,&nbsp;5,&nbsp;8,&nbsp;6]<br>#新建区域ax1<br><br>#figure的百分比,从figure&nbsp;10%的位置开始绘制,&nbsp;宽高是figure的80%<br>left,&nbsp;bottom,&nbsp;width,&nbsp;height&nbsp;=&nbsp;0.1,&nbsp;0.1,&nbsp;0.8,&nbsp;0.8<br>#&nbsp;获得绘制的句柄<br>ax1&nbsp;=&nbsp;fig.add_axes([left,&nbsp;bottom,&nbsp;width,&nbsp;height])<br>ax1.plot(x,&nbsp;y,&nbsp;'r')<br>ax1.set_title('area1')<br><br>#新增区域ax2,嵌套在ax1内<br>left,&nbsp;bottom,&nbsp;width,&nbsp;height&nbsp;=&nbsp;0.2,&nbsp;0.6,&nbsp;0.25,&nbsp;0.25<br>#&nbsp;获得绘制的句柄<br>ax2&nbsp;=&nbsp;fig.add_axes([left,&nbsp;bottom,&nbsp;width,&nbsp;height])<br>ax2.plot(x,y,&nbsp;'b')<br>ax2.set_title('area2')<br>plt.show()<br>

ax.scatter(x,&nbsp;y,&nbsp;s=None,&nbsp;c=None,&nbsp;marker=None,&nbsp;cmap=None,&nbsp;norm=None,&nbsp;vmin=None,&nbsp;<br>vmax=None,&nbsp;alpha=None,&nbsp;linewidths=None,&nbsp;*,&nbsp;edgecolors=None,&nbsp;<br>plotnonfinite=False,&nbsp;data=None,&nbsp;**kwargs)[source]

title

legend

grid

text

arrow

annotate

坐标轴标题

坐标轴范围

坐标轴位置

坐标轴是否显示

坐标轴刻度范围

坐标轴刻度显示

matplotlib.pyplot

import&nbsp;numpy&nbsp;as&nbsp;np&nbsp;&nbsp;<br>import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt&nbsp;&nbsp;<br>x&nbsp;=&nbsp;np.arange(0,&nbsp;100)&nbsp;&nbsp;<br>#作图1<br>plt.subplot(221)&nbsp;&nbsp;<br>plt.plot(x,&nbsp;x)&nbsp;&nbsp;<br>#作图2<br>plt.subplot(222)&nbsp;&nbsp;<br>plt.plot(x,&nbsp;-x)&nbsp;&nbsp;<br>&nbsp;#作图3<br>plt.subplot(223)&nbsp;&nbsp;<br>plt.plot(x,&nbsp;x&nbsp;**&nbsp;2)&nbsp;&nbsp;<br>plt.grid(color='r',&nbsp;linestyle='--',&nbsp;linewidth=1,alpha=0.3)<br>#作图4<br>plt.subplot(224)&nbsp;&nbsp;<br>plt.plot(x,&nbsp;np.log(x))&nbsp;&nbsp;<br>plt.show()&nbsp;&nbsp;<br>

import&nbsp;numpy&nbsp;as&nbsp;np&nbsp;&nbsp;<br>import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt<br>x&nbsp;=&nbsp;np.arange(0,&nbsp;100)&nbsp;&nbsp;<br>#划分子图<br>fig,axes=plt.subplots(2,2)<br>ax1=axes[0,0]<br>ax2=axes[0,1]<br>ax3=axes[1,0]<br>ax4=axes[1,1]<br>#作图1<br>ax1.plot(x,&nbsp;x)&nbsp;&nbsp;<br>#作图2<br>ax2.plot(x,&nbsp;-x)<br>&nbsp;#作图3<br>ax3.plot(x,&nbsp;x&nbsp;**&nbsp;2)<br>ax3.grid(color='r',&nbsp;linestyle='--',&nbsp;linewidth=1,alpha=0.3)<br>#作图4<br>ax4.plot(x,&nbsp;np.log(x))&nbsp;&nbsp;<br>plt.show()&nbsp;<br>

位置更加自由，接收

plt.axes([left,bottom,width,height])

import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt<br>import&nbsp;numpy&nbsp;as&nbsp;np<br>#&nbsp;创建数据<br>dt&nbsp;=&nbsp;0.001<br>t&nbsp;=&nbsp;np.arange(0.0,&nbsp;10.0,&nbsp;dt)<br>r&nbsp;=&nbsp;np.exp(-t[:1000]/0.05)&nbsp;#&nbsp;impulse&nbsp;response<br>x&nbsp;=&nbsp;np.random.randn(len(t))<br>s&nbsp;=&nbsp;np.convolve(x,&nbsp;r)[:len(x)]*dt&nbsp;#&nbsp;colored&nbsp;noise<br>#&nbsp;默认主轴图axes是subplot(111)<br>plt.plot(t,&nbsp;s)<br>plt.axis([0,&nbsp;1,&nbsp;1.1*np.amin(s),&nbsp;2*np.amax(s)])<br>plt.xlabel('time&nbsp;(s)')<br>plt.ylabel('current&nbsp;(nA)')<br>plt.title('Gaussian&nbsp;colored&nbsp;noise')<br>#内嵌图<br>plt.axes([.65,&nbsp;.6,&nbsp;.2,&nbsp;.2],&nbsp;facecolor='y')<br>n,&nbsp;bins,&nbsp;patches&nbsp;=&nbsp;plt.hist(s,&nbsp;400)<br>plt.title('Probability')<br>plt.xticks([])<br>plt.yticks([])<br>#另外一个内嵌图<br>plt.axes([0.2,&nbsp;0.6,&nbsp;.2,&nbsp;.2],&nbsp;facecolor='y')<br>plt.plot(t[:len(r)],&nbsp;r)<br>plt.title('Impulse&nbsp;response')<br>plt.xlim(0,&nbsp;0.2)<br>plt.xticks([])<br>plt.yticks([])<br>plt.show()

plot([x],&nbsp;y,&nbsp;[fmt],&nbsp;[x2],&nbsp;y2,&nbsp;[fmt2],&nbsp;...,&nbsp;**kwargs)

参数解析

多组相同x坐标数组

多组不同表现数据

使用Dict传递数据

使用data输入数据<br>x,y输入label坐标轴标题

scatter(x,&nbsp;y,&nbsp;s=None,&nbsp;c=None,&nbsp;marker=None,&nbsp;cmap=None,&nbsp;norm=None,&nbsp;<br>vmin=None,&nbsp;vmax=None,&nbsp;alpha=None,&nbsp;linewidths=None,&nbsp;*,&nbsp;<br>edgecolors=None,&nbsp;plotnonfinite=False,&nbsp;data=None,&nbsp;**kwargs)[source]

实例

参考资料

bar(x,&nbsp;height,&nbsp;width=0.8,&nbsp;bottom=None,&nbsp;*,<br>align='center',&nbsp;data=None,&nbsp;**kwargs)[source]

参考资料

格式

参数

pie(x,&nbsp;explode=None,&nbsp;labels=None,&nbsp;colors=None,&nbsp;autopct=None,<br>pctdistance=0.6,&nbsp;shadow=False,&nbsp;labeldistance=1.1,&nbsp;startangle=0,<br>radius=1,&nbsp;counterclock=True,&nbsp;wedgeprops=None,&nbsp;textprops=None,<br>center=(0,&nbsp;0),&nbsp;frame=False,&nbsp;rotatelabels=False,&nbsp;*,&nbsp;normalize=None,&nbsp;data=None)

实例

contour([X,&nbsp;Y,]&nbsp;Z,&nbsp;[levels],&nbsp;**kwargs)

实例

title

legend

grid

text

arrow

annotate

坐标轴标题

坐标轴范围

坐标轴刻度范围