Why my graph only see legend????
I think this data is long sentence so cut graph n just show legend
I want to graph clearly
Looks like you need to explicitly define the size of your figure, making it wide enough so the legend doesn't cover it. It might also help to create a shorter label in your legend or move the legend to the top or bottom so it doesn't cover your figure.
To change the size of your figure, you can do so in fig.update_layout() or when exporting the image in fig.write_image().
updating image:
fig.update_layout(
autosize=False,
width=1920,
height=1080)
exporting image:
fig.write_image('figure.pdf', width=1920, height=1080)
Related
I'm creating a bar chart using Bokeh. My chart renders fine initially, but when I add in the following line (to rotate the X labels):
p.xaxis.major_label_orientation = 1.2
The chart becomes blank. Why is this occurring?
It turns out that this occurred because my x axis labels were too long. When I shortened the labels, the chart reappeared with the rotated labels. (Increasing the height of the figure might be another way to solve this issue.)
I'm creating a multi-panel figure, and I have an image I show using matplotlib.image.imshow in one of the panels. I want to maximize space utilization, so this image can be seen in higher detail.
I cannot find documentation to expand this image into the whitespace occupied by axes ticks and labels in other subplots. Have tried the various layout options (TightLayout, GridSpec or ConstrainedLayout).
Here is an example image from the matplotlib documentation. The desired version of this figure would be with the MRI image expanded to touch the bottom horizontal of the "Intensity (a.u.)" label. The aspect ratio of the MRI image should be maintained.
Any wisdom?
I have a plot which contains subplots, this subplots are tables. My problem is that I need to export this plot into an image (.png, .jpg) but some of these tables have a scrollbar, so when I export the plot the tables with the scrollbar don't show all the data.
I need to export this plot with all the tables showing their data, is there any way that I can remove this scrollbar so the image can show the entire content??
Here is an example with one table that has this scrollbar (I have censored the content for legal reasons):
The data script is not presented either, so it may not be accurate, but you will need to manually set the height at which the scrolling does not appear in the layout update.
fig.update_layout(
autosize=False,
height=1200,
showlegend=False,
title_text="test",
)
In Bokeh 0.12.2, I was able to make a stacked bar chart with various hover tooltips using plotting and VBars. I also enabled a legend for the plot. However, my vbars are colored and the colors for each vbar (each stack) are not appearing in the legend. Only the names for the stack in the legend are appearing. Is this not an implemented feature yet or a bug maybe? Or maybe I'm missing something?
what my chart looks like
This was due to a bug in the bokeh source code which is being fixed if not fixed already.
Is there a way to enlarge the axis-scale label in matplotlib (circled in red in the enlarged plot below)?
I've used ax.tick_params() to successfully edit the tick labels, but I haven't been able to find anything about this specific piece of the plot.
Worse comes to worst, I could go with a manual text() insertion, but I'd like something more direct if possible.
Add a line like this
ax.xaxis.get_children()[1].set_size(15)
To change your major tick scale label (I guess we can call it so) to 15 points, if you plot the plot on ax.
If you plot using the pyplot API, add a line of ax=plt.gca() as well.