python - Creating tables in matplotlib -

I am trying to create a table using matplotlib and I have been able to get my data but I The final formatting I need to edit the size of the data to include all my data, because some are cutting, here's my current code: clust_data for structures, energy, density

 : fig = PL T.figer () ax = plt.gca () ax.xaxis.set_viewible (false) ax.yaxis .set_visible (false) colLabels = ("structure", "energy", "density") rows = len (clust_data) cellText = [] For the row in clust_data: cellText.append (line) the_table = ax.table (cellText = cellText, Collabels = colLabels, loc = 'center') plt.savefig ("table.png")  < / Pre> 
 Which table makes it so (I'm not sure how either rows through some lines):   
 Any help is greatly appreciated   
 
 
 You should be able to solve your problems:  
 <<>   code> Wassel = 1 )  
 Find / Find the number of rows and columns (in your case  len (cl Ust_data) + 1  and 3)  
 
 Draw a shape with the right size (you want some extra padding)  
  fig = PLT figures (figs = ( 3 * wcell + wpad, nrows * hcell + hpad))      
 
 The lines within two rows are axial They are spinning  
  ax.xaxis.set_viewible (false) ax.yaxis.set_visible (false)   
 Just hide axis and ticks, hide of axes Not spinning   
  See the complete solution below   
 
 In any case you have to hide or paint them  It seems to me that you are doing a lot of useless operations, from the piece of your code, I think that  clust_data  is already a list of lists with the correct size and it is   clust_data  after filling in celltext . Also, try not to mix the matopotlib oo and pipeline interface.  
 The following code should be equal to yours  
  fig = plt.figure () ax = fig.add_subplot (111) ax.xaxis.set_visible (false) ax. Yaxis.set_viewable (wrong) colLabels = ("structure", "energy", "density") the_table = ax.table (celltyxt = clust_data, colLabels = colLabels, loc = 'center') plt.savefig ("table.png" )  
 
 Edit: Complete Solution  
 Forbidden Method  
 You will have to hide the axes (like setting them in white form) Give less  zorder  and add a table with the high  zorder   
  colLabels = ("structure", "energy", "density"). Nrows, ncols = len (clust_data) +1, lane (colLables) hcell, wcell = 0.3, 1. hpad, wpad = 0, 0 fig = plt.figure (figsize = (ncols * wcell + wpad, nrows * hcell + hpad )) Ax = leave the spines for sp in fig.add_subplot (111) #remove axis ticks and label ax.xaxis.set_visible (false) ax.yaxis.set_visible (false) # ax.spines.itervalues ​​() : Sp.set_color ('w') sp.set_zorder (0) #do table the_table = ax.table (cellText # Clust_data, colLabels = colLabels, loc = 'center') #put Tables in front of axes # zorder for some reason Ax.table the_table.set_zorder (10) plt.savefig ("table.png" has no keywords   
 the simplest way (credit @ jokington)  
 just a Closing Columns  
  colLabels = ("structure", "energy", "density") nrows, ncols = len (clust_data) +1, lane (colLables) hcell, wcell = 0.3, 1 .hpad, wpad = 0, 0 fig = plt.figure (figsize = (ncols * wcell + wpad, nrows * hcell + hpad)) ax = fig.add_subplot (111) ax.axis ('closed') #desk table_table = Ax.table (cellText = clust_data, colLabels = colLabels, loc = 'center') plt .savefig ("table.png")