#Pyplot subplot julia how to

The next case uses the so called Mixed() alignmode, which is especially useful when dealing with large empty spaces between Axis due to long ticks. The Colorbar is located in the third column and expands from row 1 up to row 2. Where all labels are in the protrusions and each Axis has an AspectData() ratio. JDS.squares_layout() Figure 28: Squares layout. Additionally, note that we can call many Axis into fig, or even Colorbar’s and Legend’s, and then afterwards build the layout.Īnother common layout is a grid of squares for heatmaps: function squares_layout() This is done by setting vertical=false and flipaxis=false. So, now our Colorbar is horizontal and the bar ticks are in the lower part. JDS.complex_layout_double_axis() Figure 27: Complex layout double axis. Hideydecorations!(ax2, ticks=false, grid=false) Hm = scatter!(10x, y color=z, label='dots', colorrange=(0, 1))

Now, the example: function complex_layout_double_axis()Īx1 = Axis(fig, xlabel=L'x', ylabel=L'y') Another way of getting shared axis will be by setting limits!. This could be useful when shared axis are desired. Having the same limits across different plots can be done via your Axis with: Also, note the use of padding, which allows more fine control over his position.įor our next example let’s keep using the previous tools and some more to create a richer and complex figure. Here, having the label (a) in the TopLeft() is probably not necessary, this will only make sense for more than one plot.

JDS.first_layout_fixed() Figure 26: First Layout Fixed. Legend(fig, ax, 'Labels', orientation=:horizontal,īox(fig, color=(:snow4, 0.35)) Title='Layout example', backgroundcolor=:white) See below how these options are being used: function first_layout_fixed()įig = Figure(figure_padding=(0, 3, 5, 2), resolution=(600, 400),īackgroundcolor=:snow2, font='CMU Serif')Īx = Axis(fig, xlabel=L'x', ylabel=L'y', We do this by plotting into fig where protrusion can be Left(), Right(), Bottom() and Top(), or for each corner TopLeft(), TopRight(), BottomRight(), BottomLeft(). the space reserved for title: x and y either ticks or label.

#Pyplot subplot julia how to

Row gap ( rowgap!), if row is given then the gap will be applied to that specific row.Īlso, we will see how to put content into the protrusions, i.e. The space between columns and rows is specified asĬolumn gap ( colgap!), if col is given then the gap will be applied to that specific column. Consequently, things will be resized accordingly. Setting these to true will take into account the actual size (height or width) for a Legend or Colorbar. Taking into account the actual size for a Legend or Colorbar is done by

figure_padding=(left, right, bottom, top).

We could fix spacing problems using the following keywords and methods: This does look good already, but it could be better. JDS.first_layout() Figure 25: First Layout. Legend(fig, ax, 'labels', orientation=:horizontal)Ĭolorbar(fig, pltobj, label='colorbar') Pltobj = scatter!(ax, x, y color=z, label='scatters') function first_layout()įig = Figure(resolution=(600, 400), backgroundcolor=:snow2)Īx = Axis(fig, backgroundcolor=:white) And the Legend in row 2 and across column 1 and 2, namely fig.

fig, the Colorbar in row 1, column 2, namely fig. The Axis content will be in row 1, column 1, e.g. For this task we can think of the canvas as an arrangement of rows and columns in indexing a Figure much like a regular Array/ Matrix. We will start with a simple arrangement of one Axis, one Legend and one Colorbar. A complete canvas/layout is defined by Figure, which can be filled with content after creation.