The following code section constructs a line plot and saves the plot to the image file plot.png. If the axis labels in the plot are cut off in the saved image, set bbox_inches='tight'. The keyword argument bbox_inches='tight' is optional. dpi=300 is better for an image designed to go in a written report or. The keyword argument dpi= specifies how many dots per inch (image resolution) are in the saved image. jpg, etc) based on the extension specified in the filename. Matplotlib infers the image file format (. Where 'plot.png' is the name of the saved image file. Calling plt.savefig() after calling plt.show() can be problematic when building plots in a Jupyter notebook with %matplotlib inline enabled.Ī standard savefig() command is: plt.savefig('plot.png', dpi=300, bbox_inches='tight') If the figure is saved after the plt.show() command the figure will not be saved until the plot window is closed. All the features of the plot must be specified before the plot is saved as an image file. The plt.savefig() function needs to be called right above the plt.show() line. Creating a simple real-time plot in a Jupyter notebook is as easy as easy as the following snippet: from jupyterplot import ProgressPlot import numpy as np pp ProgressPlot () for i in range (1000): pp.update (np.sin (i / 100)) pp.finalize () Note: The pp.finalize () statement is necessary to make the plots persistent between. Matplotlib plots can be saved as image files using the plt.savefig() function.
Problem Solving with Python Book Construction
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