Read Space-separated Data with Pandas

I used to read my data with numpy.loadtxt(). However, lately I found out in SO, that pandas.read_csv() is much more faster. To read these data I use: pd.read_csv(filename, sep=' ',header=None) The problem that I encounter right now is that in my case the separator can differ from one space, x spaces to even a tab. Here how my data could look like: 56.00 101.85 52.40 101.85 56.000000 101.850000 1 5

[dynamicsoar]

こういうピンポイントの答えがゴロゴロしてるからstack overflowはスゴイ…ありがたや