save data from multiple txt files

[alberto]

Hi to everyone, 
I would save data from multiple files in one using pandas. 

below my script 

# Read results GCMG LAMMPS 

import pandas as pd
import os
import glob

path = r"C:\Users\Documenti\Pyton\plot\results_CH4_180K\METHANE_180K_LJ_2.5-35.0_bar"
os.chdir(path)
results = pd.DataFrame()

for counter, current_file in enumerate(glob.glob("results_*.log")):
    gcmcdatadf = pd.read_csv(current_file, header=2, sep=" ", usecols=[1, 2, 3])
    print(gcmcdatadf)
    results = pd.concat([results, gcmcdatadf])

#results.to_csv('resuls_tot.log', header=None, sep=" ")

In console I obtain 
Empty DataFrame
Columns: [182.244, 10, 0.796176]
Index: []
Empty DataFrame
Columns: [181.126, 12.5, 0.995821]
Index: []
Empty DataFrame
Columns: [180.419, 15, 1.21188]
Index: []
Empty DataFrame
Columns: [179.8, 17.5, 1.43485]
Index: []
Empty DataFrame
Columns: [198.308, 2.5, 0.255925]
Index: []
Empty DataFrame
Columns: [179.68, 20, 1.65276]
Index: []
Empty DataFrame
Columns: [179.629, 22.5, 1.91916]
Index: []
Empty DataFrame
Columns: [179.838, 25, 2.20493]
Index: []
Empty DataFrame
Columns: [179.73, 27.5, 2.5408]
Index: []
Empty DataFrame
Columns: [179.645, 30, 2.98309]
Index: []
Empty DataFrame
Columns: [179.799, 32.5, 3.65617]
Index: []
Empty DataFrame
Columns: [180.184, 35, 22.3041]
Index: []
Empty DataFrame
Columns: [187.835, 5, 0.427784]
Index: []
Empty DataFrame
Columns: [183.896, 7.5, 0.606451]
Index: []

#results.to_csv('resuls_tot.log', name=(T [K],))

How could I eliminate 'index:[]', an print results in one file as
#T Pres Density
198.308, 2.5, 0.255925
.
.
. 
180.184, 35, 22.3041

regards 
A.