在Matplotlib中,我们可以使用ax.invert_xaxis()方法或设置xlim来实现这一目的。 2.1 使用ax.invert_xaxis()方法 这是最简单直接的方法,只需要在绘图后调用ax.invert_xaxis()即可。 importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形和坐标轴fig,ax=plt....
axs.scatter(x=[1980,2005], y=[10,45], color='red', s=50, marker='X', zorder=3, label='3rd Book') # Sets the titles of the y-axis. axs.set_yticks(range(len(begin))) axs.set_yticklabels(author_names) # Add legend axs.legend() # Sets start and end of the x-axis. axs...
max(x), 10,endpoint=True),2) h = plt.hist(x, bins=bins, color='navy', edgecolor='white',alpha=0.5) plt.xlabel('value',) plt.ylabel('frequency', rotation='horizontal',y=1) plt.xticks(bins, bins) plt.grid(axis='y',linewidth=0.5,linestyle='--') # 网格线 plt.show()...
importmatplotlib.pyplotasplt# 创建数据x=range(5)y1=[1,3,2,4,3]y2=[2,4,3,5,4]# 绘制图表plt.plot(x,y1,label='Series 1 - how2matplotlib.com')plt.plot(x,y2,label='Series 2 - how2matplotlib.com')# 添加图例plt.legend()plt.title('Basic Plot with Legend')plt.xlabel('X-axis')...
The xlims and ylims functions are used to set limits on the values along the axes. Now we can use our logic to invert the axes. The function takes a list-like object. If we reverse the data points and pass them to the function, the data points along the axes will be inverted. ...
plt.plot(x,y) 1. 2. 3. 4. 5. 6. 输出结果如下:(没有任何图表修饰元素,仅根据数据出图) 2.1.2 添加图形标记 核心参数:marker/markersize 这两个参数分别控制标记有无(样式)和大小尺寸 #控制标记以.显示 plt.plot(x,y,marker='.') ...
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print(y) y = np.split(x, 3, axis=0) # 平均分成三份,不能平均的话则会报错,axis默认为0 print(y) # 不均等分割 np.array_split() y = np.array_split(x, 4, axis=0) #第0项分割出来的元素最多,剩下的均等分 print('不均等分割:',y) y = np.split(x, (3,)) # 在第3行之前进...
ax.set_ylabel("Y axis label"):给y轴加上坐标轴标题; ax.tick_params(which='major', width=1.0):细调坐标轴刻度; ax.legend(): 设置图例 ; 图形元素设置除了文本类型之外,也可以往里加形状 。 加线:import matplotlib.lines as lines;ax.add_artist(lines.Line2D([15,15], [0, 10],color='#1EA...
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