使用axis.Axis.set()函数,我们可以轻松地设置和自定义坐标轴标签。 importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y=np.exp(x)fig,ax=plt.subplots()ax.plot(x,y)ax.xaxis.set(label='Time (s) - how2matplotlib.com')ax.yaxis.set(label='Amplitude (V) - how2matplotli...
axs[1].xaxis.set_major_formatter(formatter) # 或直接使用 axs[1].xaxis.set_major_formatter('{x:1.1f}') axs[1].set_xlim(axs[0].get_xlim()) plt.show() 再看看常用的 Locators: matplotlib.ticker.FixedLocator,固定刻度的 locator 。 通过参数 loc 传递固定的位置,参数 nbins 进行重新采样。 默...
可以通过调用axis()而不是axes()绘制坐标轴。 import matplotlib.pyplot as plt plt.axis([3,7,-0.5,3]) plt.plot(4+np.arange(3),[0,1,0],color = "blue",linewidth=4,linestyle="-") plt.show() 控制坐标轴刻度显示 有两种方法可以控制坐标轴刻度的显示,一种是利用matplotlib的面向对象的Axes.set...
importmatplotlib.pyplotasplt# 创建一个简单的折线图plt.plot([1,2,3,4],[1,4,2,3])# 获取当前坐标轴对象ax=plt.gca()# 设置x轴的刻度标签ax.xaxis.set_ticklabels(['One','Two','Three','Four'])# 添加标题plt.title('Custom Tick Labels - how2matplotlib.com')# 显示图表plt...
from matplotlibimportpyplotasplt from datetimeimportdatetime,timedelta mpl.rc('font',family='Arial Rounded MT Bold')y_label={'fontsize':14}title={'fontsize':30}s_legend={'fontsize':14,'handlelength':7}withpyodbc.connect(DB_CREDENTIALS)ascnxn:df=pd.read_sql(sql=TOTAL_USA_EX,con=cnxn)df...
选自pbpython 机器之心编译 参与：路雪、蒋思源 Matplotlib 能创建非常多的可视化图表，它也有一个丰富...
import matplotlib.pyplot as plt fig = plt.figure(figsize=(8,4)) ax1 = fig.add_subplot(121) ax1.set_xlabel('Credit_History') ax1.set_ylabel('Count of Applicants') ax1.set_title("Applicants by Credit_History") temp1.plot(kind='bar') ax2 = fig.add_subplot(122) temp2.plot(kind ...
import matplotlib.pyplot as plt plt.plot([3,1,5,4,2]) plt.xlabel(r'X \axis') #字符串前加r显示原始字符串 plt.ylabel('纵轴值',fontproperties='SimHei',color='#00ff00',fontsize='24') plt.title('图表标题 $a^{2}+b^{2}=C^{2}$',fontproperties='SimHei') #可以使用$引入一部分la...
When uncommented, the values on the secondary y-axis are not processed by tick_function! ax2.yaxis.set_major_formatter(matplotlib.ticker.FormatStrFormatter('%.2g$\\pm \\beta$')) ## Finish the plot + save ax.set_title("with custom matplotlib.ticker.FormatStrFormatter") ax.grid() ax.le...
To add a title to the figure, usesuptitle()method. To visualize the plot on the user’s screen, use theshow()method. set_xticks() ReadMatplotlib plot a line Matplotlib set_xtciks invisible Here we’ll learn to hide the ticks from the x-axis. For this, we have to pass the empty ...