importmatplotlib.pyplotaspltfrommatplotlib.gridspecimportGridSpecfig=plt.figure()gs=GridSpec(2,2,figure=fig)ax1=fig.add_subplot(gs[0,0])ax2=fig.add_subplot(gs[0,1])ax3=fig.add_subplot(gs[1,:])ax1.plot([1,2,3,4,5
1. 添加简单的标题 要在Matplotlib中添加简单的标题,只需使用plt.title函数即可。下面是一个示例代码: importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,3,5,7,11]plt.plot(x,y)plt.title('Simple Title Example')plt.show() Python Copy Output: 在这个示例代码中,我们使用plt.title函数给图表添加了...
Create a Title for a PlotWith Pyplot, you can use the title() function to set a title for the plot.Example Add a plot title and labels for the x- and y-axis: import numpy as npimport matplotlib.pyplot as pltx = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])...
.. note:: Because of how `.Axes.matshow` tries to set the figure aspect ratio to be the one of the array, strange things may happen if you reuse an existing figure. Returns --- image : `~matplotlib.image.AxesImage` Other Parameters --- **kwargs : `~matplotlib.axes.Axes.imshow`...
text(x, medians_dict[xticklabel]*1.01, "#obs : "+str(n_ob), horizontalalignment='center', fontdict={'size':14}, color='white') add_n_obs(df,group_col='class',y='hwy') # Decorationplt.title('Box Plot of Highway Mileage by Vehicle Class', fontsize=22)plt.ylim(10, 40)plt....
plt.title('How efficient do you want to go today?') plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 散列图 使用plot绘制,在绘制时指定样式参数为只绘制数据点,得到的便是一散列图: x = np.random.random(20) y = np.random.random(20) ...
ax.set_title('Bar Chart for Highway Mileage', fontdict={'size':22}) ax.set(ylabel='Miles Per Gallon', ylim=(0,30)) plt.xticks(df.index, df.manufacturer.str.upper(), rotation=60, horizontalalignment='right', fontsize=12) # A...
Add hint how to show animation in Jupyter notebook README.rst Add hint how to show animation in Jupyter notebook dana.css Initial import reset.css Initial import This preview took too long to generate. But you can view theraw file. ...
black}, axis line style={white}, tick align=outside, tick pos=left, title={Simple plot\(\displaystyle\frac{\alpha}{2}\)}, x grid style={white}, xlabel={time (s)}, xmajorgrids, xmin=-0.095, xmax=1.995, xtick style={color=white!33.3333333333333!black}, y grid style={white}, ...
title("A Sine Curve") plt.xlabel("x") plt.ylabel("sin(x)"); Figure 4-17. Examples of axis labels and title You can adjust the position, size, and style of these labels using optional arguments to the function. For more information, see the Matplotlib documentation and the docstrings ...