#Pycharm community matplotlib code

If we execute this line (for example, by clicking the button on the stepping toolbar of the Debug tool window), we'll see the graph: It means that the debugger has stopped at the line with the breakpoint, but has not yet executed it. The line with the first breakpoint is blue highlighted. This is the result of the inline debugging, which is enabled. You see the Debug tool window and the grey characters in the editor.

Right-click the editor background and from the context menu choose Debug 'main'. This line appears twice in our example code, and so there will be two breakpoints. Now click the icon or press Ctrl+Enter on the line with the y versus x plot cell mark. In the gutter, click the icon Ctrl+Enter on line with the scatter plot cell mark. Modify the main.py file by adding the '#%%' lines.

#Pycharm community matplotlib code

In the scientific mode, you can execute fragments of your code by creating code cells. You can modify the project code to plot only one graph at a time. Clicking the preview thumbnail displays the respective graph: The code is executed and shows two graphs in the SciView. Process warnings shown for the numpy and matplotlib imports and enable the packages in the project. Plt.plot(X, S, color='red', linewidth=2.5, linestyle='-') Plt.plot(X, C, color='blue', linewidth=2.5, linestyle='-') X = np.linspace(-np.pi, np.pi, 256,endpoint=True) Plt.scatter(x, y, s=area, c=colors, alpha=0.5) Area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radii