python - How to remove just the index name and not the content in Pandas multiindex data frame -


i have following tab delimited file (mydata.txt):

set coolthing   route   organ    down set4    foo id  ln  81  60 set4    bar id  ln  542 92 set4    foo id  lv  73  73 set4    bar id  lv  143 78 set4    foo id  sp  32  82 set4    bar id  sp  90  129

and following code:

import pandas pd df = pd.io.parsers.read_table("http://dpaste.com/3zttvqh.txt") df = df.pivot(index="coolthing",columns="organ") df.drop('set',axis=1,inplace=true) df.drop('route',axis=1,inplace=true)

i have following data frame:

in [15]: df out[15]:                       down organ       ln   lv  sp    ln  lv   sp coolthing bar        542  143  90    92  78  129 foo         81   73  32    60  73   82

then using df.to_html(index=true, justify="left") create html:

enter image description here

what want remove index names organ , coolthing. resulting this:

                       down             ln   lv  sp    ln  lv   sp bar        542  143  90    92  78  129 foo         81   73  32    60  73   82

how can achieve that?

there name single level names , names multi-level names example need clear names index , columns:

in [372]:  df.index.name = none df.columns.names = (none,none) df ​ out[372]:                down                ln   lv  sp   ln  lv   sp bar  542  143  90   92  78  129 foo   81   73  32   60  73   82

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