Zonal mean gallery example #4871
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trexfeathers
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trexfeathers
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Super job @TTV-Intrepid, thanks for the PR!
This already works perfectly; I've just got some suggestions to make it as clear as possible for the reader.
| # Round each tick for the third ax to the nearest 20 (ready for use). | ||
| data_max = collapsed_temp.data.max() | ||
| x_max = data_max - data_max % -20 | ||
| data_min = collapsed_temp.data.min() | ||
| x_min = data_min - data_min % 20 |
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You could move this block after the ax3 block so that it can include the ax3.set_xlim(x_min, x_max) line, too.
| # Set y axes with -90 and 90 limits and spacing of 15 per tick. | ||
| yticks = np.arange(-90, 105, 15) | ||
| ylim = [-90, 90] | ||
| fig = plt.figure(figsize=[12, 4]) |
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This deserves its own code block, as it's not directly related to the following code.
| # Set y axes with -90 and 90 limits and spacing of 15 per tick. | |
| yticks = np.arange(-90, 105, 15) | |
| ylim = [-90, 90] | |
| fig = plt.figure(figsize=[12, 4]) | |
| # Set y axes with -90 and 90 limits and spacing of 15 per tick. | |
| yticks = np.arange(-90, 105, 15) | |
| ylim = [-90, 90] | |
| # Plot "temperature" on a cartographic plot and set the ticks and titles on the axes. | |
| fig = plt.figure(figsize=[12, 4]) |
| ax1.set_ylabel("latitude") | ||
| ax1.set_xlabel("longitude") | ||
| ax1.set_ylim(*ylim) | ||
| divider = make_axes_locatable(ax1) |
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This is the 'magic sauce' that makes it possible to align everything, so it should have some extra emphasis. I've done a bit of reading to work out an appropriate comment:
| divider = make_axes_locatable(ax1) | |
| # Create a Matplotlib AxesDivider object to allow alignment of other Axes objects. | |
| divider = make_axes_locatable(ax1) |
| fig.add_axes(ax2) | ||
| plt.sca(ax2) | ||
| cbar = plt.colorbar(im, cax=ax2, orientation="horizontal") | ||
| cbar.ax.set_xlabel("Air Temperature [k]") |
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| cbar.ax.set_xlabel("Air Temperature [k]") | |
| cbar.ax.set_xlabel("Air Temperature [K]") |
| ax3.set_ylim(*ylim) | ||
| ax3.set_title("Zonal mean") | ||
| ax3.set_ylabel("latitude") | ||
| ax3.set_xlabel("Air Temperature [k]") |
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| ax3.set_xlabel("Air Temperature [k]") | |
| ax3.set_xlabel("Air Temperature [K]") |
| plt.sca(ax3) | ||
| iplt.plot(collapsed_temp, collapsed_temp.coord("latitude")) | ||
| ax3.axvline(0, color="k", linewidth=0.5) | ||
| ax3.set_ylim(*ylim) |
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Swap position with ax3.set_yticks(yticks) - for consistency with the ax1 block.
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Closing as @TTV-Intrepid is no longer available to complete this work. |
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🚀 Pull Request
Description
This example demonstrates aligning a linear plot and a cartographic plot using Matplotlib.
Consult Iris pull request check list