I have a plot on top of a table as generated by following example. Table data is replaced by random numbers and the actual plot is replaced by some arbitryry function:
import numpy as np
import matplotlib.pylab as plt
fig, ax = plt.subplots()
ntp = 17 # number of peak periods
nhs = 30 # number of wave heights
scatter_table = np.random.randint(0,10,(nhs,ntp)) # wave scatter diagram
tp = np.linspace(3,20,ntp+1) # peak period array
hs = np.linspace(0,15,nhs+1) # significant wave height
# axis limits to be in line with scatter diagram
ax.set_xlim((min(tp),max(tp)))
ax.set_ylim((min(hs),max(hs)))
# axis ticks as per scatter table bins
ax.set_xticks(tp)
ax.set_yticks(hs)
# matplotlib table
the_table = plt.table(cellText=scatter_table,loc=(0,0),cellLoc='center')
# change table properties to match plot window
table_props = the_table.properties()
table_cells = table_props['child_artists']
for cell in table_cells:
cell.set_height(1/float(nhs))
cell.set_width(1/float(ntp))
# plot!
ax.plot(tp,4+0.2*tp+np.sin(tp)*0.25*tp)
plt.grid()
plt.show()
My question is: Is there a possibility to remove the table borders? Alternatively, I would change the color to a lighter grey and apply a dashed line style.
Try this:
Does this work for you?
If you want to remove the border from each table cell, you could add this to your existing loop over each table cell:
This allows you to change all properties of each cell using e.g.
set_linestyle()
,set_edgecolor()
,set_fontsize()
, etc:"Scrubbing borders is not needed if you set edges='open' in the call to table" -MD004 https://stackoverflow.com/a/56515764/927972