ShareX | ShareX is a free and open source program that lets you capture or record any area of your screen and | Image Editing library

I'm trying to use Skimage to segment an image with watershed, but I always get this error. Do you have a solution please?

AttributeError: module 'skimage.morphology' has no attribute 'watershed'

Source code : https://scikit-image.org/docs/0.12.x/auto_examples/xx_applications/plot_coins_segmentation.html

How do you size the axes of a marginal plot to match the size of a non-square central plot using matplotlib?

In the image, you'll see that the top marginal plot is too wide, even though it shares the x-axis labels.

Context: I'm trying to create a joint plot like in Seaborn, but with a non-square heatmap at center and bar graphs as the marginal plots. JointGrids isn't designed to work with heatmaps (which is okay, on to matplotlib!). Merging a matplotlib heatmap with subplot barplots gets me close, but I find one bargraph's axis is larger than the central heatmap even when I share axes.

Minimum working example:

I'm trying to display the topic extraction results of an LDA text analysis across several data sets in the form of a matplotlib subplot.

Here's where I'm at:

I think my issue is my unfamiliarity with matplotlib. I have done all my number crunching ahead of time so that I can focus on how to plot the data:

I would like to have two side by side plots sharing the same X-axis and the same toolbar. This means that, by zooming in the first plot, the second plot should automatically resize to the same zoomed region.

A way to do that could be to stack the plots one above the other, using shareX=TRUE, but I need them to be side by side.

In python there seems to be a way to do that, using fig.update_xaxes(matches='x'). Is there a similar option in R?

Here is a sample code:

I am trying to plot two imshow and one plot above each other sharing their x-axis. The figure layout is set up using gridspec. Here is a MWE:

I'm trying to plot 3D data in 2D using orthographic projection. Here is partially what I'm looking for:

I have two dataframes:

Using this code I created a seaborn plot to visualize multiple variables in a long format dataset.

I'm using matplotlib to make step graphs based on a dataframe, but I want one of the key/value of the dataframe to appear (signals_df['Gage']), instead of coordinates as annotation, but I always get the error: AttributeError: 'Line2D' object has no attribute 'get_offsets' when I click on the first subplot from bottom to top and the annotation does not appear. In fact, I commented out the annot.set_visible(False)and replaced the "" of the examples with val_gage, so that it will look like I want the annotation to appear one by one, when clicking on some point within the subplots. This is the code in question: