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stevengj merged 1 commit into from
Jul 15, 2019
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fix links to multimedia I/O API #448

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -12,7 +12,7 @@ package to call Matplotlib directly from Julia with little or no
overhead (arrays are passed without making a copy).

This package takes advantage of Julia's [multimedia
I/O](https://docs.julialang.org/en/latest/stdlib/io-network.html#Multimedia-I/O-1)
I/O](https://docs.julialang.org/en/latest/base/io-network/#Multimedia-I/O-1)
API to display plots in any Julia graphical backend, including as
inline graphics in [IJulia](https://github.com/JuliaLang/IJulia.jl).
Alternatively, you can use a Python-based graphical Matplotlib
Expand Down Expand Up @@ -129,7 +129,7 @@ You can get the current figure as a `Figure` object (a wrapper
around `matplotlib.pyplot.Figure`) by calling `gcf()`.

The `Figure` type supports Julia's [multimedia I/O
API](http://docs.julialang.org/en/latest/stdlib/base/#multimedia-i-o),
API](https://docs.julialang.org/en/latest/base/io-network/#Multimedia-I/O-1),
so you can use `display(fig)` to show a `fig::PyFigure` and
`show(io, mime, fig)` (or `writemime` in Julia 0.4) to write it to a given `mime` type string
(e.g. `"image/png"` or `"application/pdf"`) that is supported by the
Expand All @@ -154,7 +154,7 @@ PyPlot can use any Julia graphics backend capable of displaying PNG,
SVG, or PDF images, such as the IJulia environment. To use a
different backend, simply call `pushdisplay` with the desired
`Display`; see the [Julia multimedia display
API](http://docs.julialang.org/en/latest/stdlib/io-network/#multimedia-i-o)
API](https://docs.julialang.org/en/latest/base/io-network/#Multimedia-I/O-1)
for more detail.

On the other hand, you may wish to use one of the Python Matplotlib
Expand Down