python - Pandas removing rows -


i'd remove few rows in csv file pandas pivot table function. format of csv file looks this:

ad dsdsa d adsadsa ewew das ds dsd sad dsa dsa  1 1 1.0 3 1 2 2.0 4 1 3 3.2 4 1 4 2.3 5 1 5 1.3 2 2 1 2.2 5 2 2 3.2 5 2 3 2.2 4 2 4 1.1 4

i want output this:

   1    2     3   4    5 1  1.0  2.0  3.2  2.3 1.3 2  2.2   5   3.2  1.1  .  3   .    .     .   .   .

i have trick without rubbish data in first 2 rows:

   import pandas pd    df = pd.read_csv('third.csv', usecols=[0,1,2], names=['origin','destin', 'value'])    pd.pivot_table(df, index='origin', columns='destin', values='value')    pd.to.excel('test.xlsx', sheet_name='sheet1', index='true')

as can see, used first 3 columns, i'd remove first 2 rows in csv file. also, i'd export new format excel (but last row of code doesn't work).

any thoughts go this?

demo 

from io import stringio import pandas pd  txt = """ad dsdsa d adsadsa ewew das ds dsd sad dsa dsa  1 1 1.0 3 1 2 2.0 4 1 3 3.2 4 1 4 2.3 5 1 5 1.3 2 2 1 2.2 5 2 2 3.2 5 2 3 2.2 4 2 4 1.1 4"""  df = pd.read_csv(stringio(txt), delim_whitespace=true, skiprows=2, header=none,                  index_col=[0, 1], usecols=[0, 1, 2], squeeze=true)  df.unstack()

enter image description here

if names on indices bother you:

df.rename_axis([none, none]).unstack()

enter image description here


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