"line", string="X = {}", c='r', linewidth=2) data_count = data_gen(200) ani...
x=np.linspace(0,10,10)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,'o-',label='Circle')plt.plot(x,y+0.5,'s-',label='Square')plt.plot(x,y-0.5,'^-',label='Triangle')plt.title('How to use markers in Matplotlib - how2matplotlib.com')plt.legend()plt.grid(True)plt....
values = data['values']## 提取其中的values数组,数据的存在位置 p = plt.figure(figsize=(12,12)) ##设置画布 1. 2. 3. 4. 5. 6. 7. <Figure size 864x864 with 0 Axes> 1. ## 子图1 ax1 = p.add_subplot(2,1,1) plt.scatter(values[:,0],values[:,3], marker='o',c='r')#...
boxplot(x='class', y='hwy', data=df, notch=False) # Add N Obs inside boxplot (optional) def add_n_obs(df,group_col,y): medians_dict = {grp[0]:grp[1][y].median() for grp in df.groupby(group_col)} xticklabels = [x.get_text() for x in plt.gca().get_xticklabels(...
(x,y2,width = 1,facecolor = 'lightskyblue',edgecolor = 'white',yerr = y2*0.1) # x,y参数:x,y值 # width:宽度比例 # facecolor柱状图里填充的颜色、edgecolor是边框的颜色 # left-每个柱x轴左边界,bottom-每个柱y轴下边界 → bottom扩展即可化为甘特图 Gantt Chart # align:决定整个bar图分布,...
# lets add axes using add_axes() method# create a sample datay =x1 =x2 =# create the figurefig = plt.figure()# add the axesax = fig.add_axes()l1 = ax.plot(x1,y,'ys-')l2 = ax.plot(x2,y,'go--')# add additional parametersax.legend(labels = ('line 1', 'line 2'),...
ax.spines['left'].set_position(('data',0)) 1. 2. 3. 4. 运行结果: Legend图例 给图做图例,只需要在plt.plot()加上label参数即可,然后执行plt.legend()即可 x=np.linspace(-2,2,50) y1=2*x+1 y2=x**2 plt.plot(x,y2,label='up') ...
boxplot(x='class', y='hwy', data=df, notch=False) # Add N Obs inside boxplot (optional)def add_n_obs(df,group_col,y): medians_dict = {grp[0]:grp[1][y].median() for grp in df.groupby(group_col)} xticklabels = [x.get_text() for x in plt.gca().get_xticklabels()...
参考:Add Text Inside the Plot in Matplotlib Matplotlib是Python中最流行的数据可视化库之一,它提供了丰富的功能来创建各种类型的图表。在数据可视化过程中,往往需要在图表内添加文本来解释数据点、标注重要信息或提供额外的上下文。本文将详细介绍如何在Matplotlib图表中添加文本,包括基本文本添加、文本属性设置、特殊文本...
self._close_line(line)def_close_line(self, line): x, y=line.get_data()#FIXME: markers at x[0], y[0] get doubled-upifx[0] != x[-1]: x=np.concatenate((x, [x[0]])) y=np.concatenate((y, [y[0]])) line.set_data(x, y)defset_varlabels(self, labels): ...