错误信息 'line' object has no attribute 'add_xaxis' 表明你尝试在一个线对象上调用一个不存在的 add_xaxis 方法。 在Python 的 Matplotlib 库中,line 对象通常是通过 plt.plot() 函数创建的,用于绘制折线图、散点图等。然而,line 对象并没有 add_xaxis 这个方法。如果你需要添加或修改 x 轴的属性,你...
ax.set_yticks([-1.0, -0.5, 0, 0.5, 1.0]) ax.set_yticklabels(['-1.0','-0.5','0','0.5','1.0'], fontsize=20.0) xtl=ax.get_xticklines() #xtl.in_layout=True str1=ax.get_xticklabels() #ax.minorticks_on() ax.tick_params(axis='x', direction='in', length=6) ax.tick_p...
In this post, you'll see how to add an inset curve to a Matplotlib plot. An inset curve is a small plot laid on top of a main larger plot. The inset curve is smaller than the main plot and typically shows a "zoomed in" region of the main plot …
labels=ax.set_xticklabels(['one','two','three','four','five'],rotation=30,fontsize='small') #用set_title给图表设置一个标题 ax.set_title('My first matplotlib plot') #为X轴设置一个名称 ax.set_xlabel('Stages') plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13...
In the above example, we importmatplotlib.pyplotlibrary. After this, we define data on the x-axis and y-axis and we useplt.plot()method to plot a chart. We useplt.text()method to add text to the plot, and we pass a special string“mathematical formula”to the method. ...
that specify how the tick labels should drawn. Once the class is defined, it must be registered with so thatthe user can select it. A full-fledged and heavily annotated exampleis in :file:`examples/api/_scale_example.py`. There are also some classes in :mod:`matplotlib.scale...
%matplotlib inline import torch import sys sys.path.append("/home/kesci/input") import d2lzh1981 as d2l def get_data_ch7(): data = np.genfromtxt('/home/kesci/input/airfoil4755/airfoil_self_noise.dat', delimiter='t') data = (data - data.mean(axis=0)) / data.std(axis=0) ...
Labels(["structure"], np.reshape(idx_test, (-1, 1))) # %% # # That we use as input to the ``slice`` function X_sr_train = equistore.slice(X_sr, axis="samples", labels=samples_train) X_sr_test = equistore.slice(X_sr, axis="samples", labels=samples_test) X_lr_train =...
# 用不同颜色显示 for k,v in book.blocks.items(): bill = v['block'] amount = bill.get_amount() # 只展示支出 if amount < 0: labels.append(bill.get_content()) amounts.append(-amount) plt.pie(amounts, labels=labels, colors=colors, shadow=True, autopct='%1.1f%%')plt.axis('equal...
import matplotlib.pyplot as plt fig, ax = plt.subplots() number_of_runs = range(1,10) # use your actual number_of_runs ax.set_xticks(number_of_runs, minor=False) ax.xaxis.grid(True, which='major') If you desire to exclusively have vertical lines, include the following. ...