Matplotlib save

A string containing a path to a filename, or a Python file-like object, or possibly some backend-dependent object such as PdfPages.

A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib. If format is set, it determines the output format, and the file is saved as fname. Note that fname is used verbatim, and there is no attempt to make the extension, if any, of fname match format , and no extension is appended. If format is not set, then the format is inferred from the extension of fname , if there is one. If format is not set and fname has no extension, then the file is saved with rcParams["savefig.

Matplotlib save

A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib. If format is not set, then the output format is inferred from the extension of fname , if any, and from rcParams["savefig. If format is set, it determines the output format. Hence, if fname is not a path or has no extension, remember to specify format to ensure that the correct backend is used. The resolution in dots per inch. If None , defaults to rcParams["savefig. If 'figure', uses the figure's dpi value. The image quality, on a scale from 1 worst to 95 best. Applicable only if format is jpg or jpeg, ignored otherwise. Values above 95 should be avoided; completely disables the JPEG quantization stage. If True , indicates that the JPEG encoder should make an extra pass over the image in order to select optimal encoder settings. Is False by default. The facecolor of the figure; if None , defaults to rcParams["savefig. The edgecolor of the figure; if None , defaults to rcParams["savefig. One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'.

One of the file extensions supported by the active backend. HTMLWriter matplotlib. Suggest changes.

Matplotlib is a widely used Python library to plot graphs, plots, charts, etc. In this article, we will see how to save a Matplotlib plot as an image file. Below are the ways by which we can save a plot to a file using Matplotlib in Python :. The figure produced after data plotting is saved using the savefig method , as the name implies. Using this technique, the generated figure can be saved to our local computers. In this example, we are creating our own data list, and using Matplotlib we are plotting a bar graph and saving it to the same directory.

Data visualization is the most important part of any analysis. Matplotlib is an amazing python library which can be used to plot pandas dataframe. There are various ways in which a plot can be generated depending upon the requirement. Bar Plot is one such example. To plot a bar graph using plot function will be used. Histogram is an example of representing data as which is divided into closely related intervals.

Matplotlib save

You can use the following basic syntax to save a Matplotlib figure to a file:. The following examples show how to use this syntax in practice. The following code shows how to save a Matplotlib figure to a PNG file:. If we navigate to the location where we saved the file, we can view it:. By default, Matplotlib adds generous padding around the outside of the figure. Notice that there is less padding around the outside of the plot. You can also use the dpi argument to increase the size of the Matplotlib figure when saving it:. You can find the complete online documentation for the Matplotlib savefig function here. The following tutorials explain how to perform other common functions in Matplotlib:.

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The image quality, on a scale from 1 worst to 95 best. Close View this page in your language? The supported keys and defaults depend on the image format and backend:. Save Article Save. Only the given portion of the figure is saved. One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'. Additional keyword arguments that are passed to PIL. CanvasAgg demo. Add Other Experiences. Print Stdout. If fname is not a string, remember to specify format to ensure that the correct backend is used.

In our tutorial series on matplotlib, you have learned how create many different plots and how to customize their design. So far, you have looked at the resulting plot by calling.

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