x=np.linspace(0,10,100)y=np.sin(x)*np.exp(-x/10)plt.plot(x,y,label='sin(x) * exp(-x/10)')plt.xlim(auto=True)plt.ylim(auto=True)plt.margins(0.1)plt.title('Auto-adjusting axis limits with margins - how2matplotlib.com')plt.legend()plt.show() Python Copy Output: 在这个示例...
y,label='Sine wave from how2matplotlib.com')# 获取当前的x轴范围xmin,xmax=ax.get_xlim()# 使用limit_range_for_scale()调整范围new_xmin,new_xmax=ax.xaxis.limit_range_for_scale(xmin,xmax)# 设置新的x轴范围ax.set_xlim(new_xmin,new_xmax)ax.set_title('Using limit_ra...
fig2,axes3=plt.subplots(figsize=(8,4),nrows=1,ncols=4)## 1行4列,共4个子图plt.tight_layout()## 紧凑布局axes3[0].set_title('Axes画布上的子图1')axes3[0].set_xlabel('X的标签')axes3[0].set_ylabel('Y的标签')axes3[0].scatter(x1,y1,color='r')axes3[1].set_title('Axes画布...
plt.scatter(x,y,label="scatter figure") plt.legend() plt.show() xlim() -- 设置x轴的数值显示范围 x = np.linspace(0.05,10,1000) y = np.random.rand(1000)plt.scatter(x,y,label="scatter figure with x limit") plt.legend() plt.xlim(0.05,10) plt.ylim(0,1) plt.show() xlabel() ...
使用Matplotlib库进行数据分析实验收获,目录常用方法fig,ax=plt.subplots()ax.get_legend()ax.set_title()axis.grid()网格线ax.annotate()添加注解ax.text(x,y,s,kw)添加文字参数:**此方法接受以下描述的参数:刻度ax.xaxis.set_major_locator()设置主刻度线ax.xaxis.set_
=plt.hist(x=d, bins='auto', color='#0504aa',alpha=0.7,rwidth=0.85)plt.grid(axis='y', alpha=0.75)plt.xlabel('Value')plt.ylabel('Frequency')plt.title('My First Histogram Ever')plt.text(23, 45, r'$\mu=15, b=3$')maxfreq = n.max()# Set a clean upper y-axis limit.plt...
axis:设置线的方向,默认值是both,横向与竖向的网格线都有,axis='X'表示只有垂直于X轴的网格线,axis='y'表示只有垂直于Y轴的网格线; linewidth:设置线的宽度,值越大越粗; alpha:设置透明度,值在0~1之间,1是完全不透明,0是完全透明,0.5是半透明。'''#设置坐标轴的范围'''注意一下函数本身是自带一对小括...
# Define the upper limit, lower limit, interval of Y axis and colors y_LL = 100 y_UL = int(df.iloc[:, 1:].max().max()*1.1) y_interval = 400 mycolors = ['tab:red', 'tab:blue', 'tab:green', 'tab:orange'] # Draw Plot and Annotate ...
# set x,y_axis_limit ax.set_xlim(0,4) ax.set_ylim(0,2) # plot subplot ax.plot(x,y,c=(0.25,0.25,1.00),lw=2,zorder=10) # pair 0 # ax.plot(x,y,c=(0.25,0.25,1.00),lw=2,zorder=10) # pair 1 # set grid ax.grid(linestyle="-",linewidth=0.5,color='r',zorder=0) # ...
fig, ax = plt.subplots()top_10.plot(kind='barh', y="Sales", x="Name", ax=ax)ax.set_xlim([-10000,140000])ax.set(title='2014 Revenue', xlabel='Total Revenue', ylabel='Customer')formatter =FuncFormatter(currency)ax.xaxis.set_major_formatter(formatter)ax.legend().set_visible(False)...