draw() # on click event call function to display graph check.on_clicked(func) plt.show() 从上图中可以看出,Matplotlib允许用户在复选框的帮助下自定义要显示的图形。当有许多不同的类别使得比较困难时,这可能特别有用。因此小部件可以更容易地隔离和比较不同的图形并减少混乱。 2.滑块小部件,用于控制...
annotate()函数时需要考虑2个坐标点: graph point:想要指向的点 plot point:放说明文字的点 以上两个,都以data坐标系描述 从功能上来说,text()和annotate()的本质区别是annotate可以有箭头 arrowprops = dict(facecolor='black', shrink=0.05) 1. 2. shrink:是箭头空出一些间隙,如果不设shrink那么箭头会完全连...
encircledmidwest_encircle_data=midwest.loc[midwest.state=='IN',:]# Draw polygon surrounding verticesencircle(midwest_encircle_data.area,midwest_encircle_data.poptotal,ec="k",fc="gold",alpha=0.1)encircle(midwest_encircle_data.area,midwest_encircle_data.poptotal,ec="firebrick",fc="none",linewidth=...
Axis These are the number-line-like objects. They take care of setting the graph limits and generating the ticks (the marks on the axis) and ticklabels (strings labeling the ticks). The location of the ticks is determined by a Locator object and the ticklabel strings are formatted by a ...
A helper function to make a graph Parameters --- ax : Axes The axes to draw to data1 : array The x data data2 : array The y data param_dict : dict Dictionary of kwargs to pass to ax.plot Returns --- out : list list of artists ...
[], yticklabels=[])# Scatterplot on main axax_main.scatter('displ','hwy', s=df.cty*5, c=df.manufacturer.astype('category').cat.codes, alpha=.9, data=df, cmap="Set1", edgecolors='black', linewidths=.5)# Add a graph in each partsns.boxplot(df.hwy, ax=ax_right, orient="...
# Set the interactive mode to ON plt.ion # Check the current status of interactive mode print(mpl.is_interactive) Output: True 2在 Matplotlib 中绘制折线图importmatplotlib.pyplotasplt #Plot a line graph plt.plot([5,15]) # Add labels and title ...
x = np.linspace(-2, 2, 1000)y1 = np.cos(40 * x)y2 = np.exp(-x**2)ax.plot(x, y1 * y2)ax.plot(x, y2, 'g')ax.plot(x, -y2, 'g')ax.set_xlabel("x")ax.set_ylabel("y")# save as filefig.savefig("graph.png", dpi=100)fig.savefig("graph.pdf", dpi=300, ...
我这里单拿出一个一个的对象,然后后面在进行总结。在matplotlib中,整个图表为一个figure对象。其实对于每一个弹出的小窗口就是一个Figure对象,那么如何在一个代码中创建多个Figure对象,也就是多个小窗口呢? importmatplotlib.pyplotasplt importnumpyasnp x=np.linspace(-1,1,50) ...
[])# Scatterplot on main axax_main.scatter('displ','hwy',s=df.cty*5,c=df.manufacturer.astype('category').cat.codes,alpha=.9,data=df,cmap="Set1",edgecolors='black',linewidths=.5)# Add a graph in each partsns.boxplot(df.hwy,ax=ax_right,orient="v",linewidth=2)sns.boxplot(df...