pandas - Python Matrix - Limiting Matrix to top 20 -


i have matrix counts number of links between 2 sets of disciplines did through code df created:

new_df = df[['grantrefnumber','subject']]  = ['psychology','education','social policy','sociology','pol. sci. & internat. studies','development studies','social anthropology','area studies','science , technology studies','law & legal studies','economics','management & business studies','human geography','environmental planning','demography','social work','tools, technologies & methods','linguistics','history'] final_df = new_df[new_df['subject'].isin(a)]  ctrs = {location: counter(gp.grantrefnumber) location, gp in final_df.groupby('subject')}  ctrs = list(ctrs.items()) overlaps = [(loc1, loc2, sum(min(ctr1[k], ctr2[k]) k in ctr1))     i, (loc1, ctr1) in enumerate(ctrs, start=1)     (loc2, ctr2) in ctrs[i:] if loc1 != loc2] overlaps += [(l2, l1, c) l1, l2, c in overlaps]  df2 = pd.dataframe(overlaps, columns=['loc1', 'loc2', 'count']) df2 = df2.set_index(['loc1', 'loc2']) df2 = df2.unstack().fillna(0).astype(int)

the matrix looks (it quite big took partial picture:

enter image description here

i turn matrix chord diagram later on in code, wanted way filter (or move new df) data show top 20 (or number can change variable later on) highest numbers in matrix, , put 0 else.

is there easy way of doing this?

you can use:

df = pd.dataframe({'b':[4,5,4,5,5,4],                    'c':[7,8,9,4,2,3],                    'd':[1,3,5,7,1,0],                    'e':[5,3,6,9,2,4]})  print (df)    b  c  d  e 0  4  7  1  5 1  5  8  3  3 2  4  9  5  6 3  5  4  7  9 4  5  2  1  2 5  4  3  0  4

you can create top unique values first , dataframe.mask isin condition:

a = np.sort(np.unique(df.values.ravel()))[-3:] print (a) [7 8 9]   df = df.where(df.isin(a), 0) print (df)    b  c  d  e 0  0  7  0  0 1  0  8  0  0 2  0  9  0  0 3  0  0  7  9 4  0  0  0  0 5  0  0  0  0

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