Dont know about read_table, but you can read this file directly as follows:
import pandas as pd
with open('/tmp/invest.dat','r') as f:
next(f) # skip first row
df = pd.DataFrame(l.rstrip().split() for l in f)
print(df)
Prints:
0 1 2 3
0 17.749000 0.66007000 0.15122000 0.33150000
1 3.9480000 0.52889000 0.11523000 0.56233000
2 14.810000 3.7480300 0.57099000 0.12111000
...
...
The same can be obtained as follows:
df = pd.read_csv('/tmp/invest.dat', sep='s+', header=None, skiprows=1)
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