Pandas read csv not reading a file properly. Not splitting into proper columns

The safest way I can think for is to read the csv twice:

rows = pd.read_csv('path/to/atp_matches_2016.csv', skiprows=[0], header = None)
# skip header line
rows = rows.dropna(axis=1, how='all')
# drop columns that only have NaNs

rows.columns = pd.read_csv('path/to/atp_matches_2016.csv', nrows=0).columns
print(rows.head(5))

Output:

  tourney_id tourney_name surface  draw_size tourney_level  tourney_date  \
0  2016-M020     Brisbane    Hard       32.0             A    20160104.0   
1  2016-M020     Brisbane    Hard       32.0             A    20160104.0   
2  2016-M020     Brisbane    Hard       32.0             A    20160104.0   
3  2016-M020     Brisbane    Hard       32.0             A    20160104.0   
4  2016-M020     Brisbane    Hard       32.0             A    20160104.0 



   match_num  winner_id  winner_seed winner_entry  ... w_bpFaced l_ace  l_df  \
0      300.0   105683.0          4.0          NaN  ...       1.0   7.0   3.0   
1      299.0   103819.0          1.0          NaN  ...       1.0   2.0   4.0   
2      298.0   105683.0          4.0          NaN  ...       4.0  10.0   3.0   
3      297.0   103819.0          1.0          NaN  ...       1.0   8.0   2.0   
4      296.0   106233.0          8.0          NaN  ...       2.0  11.0   2.0   

  l_svpt  l_1stIn  l_1stWon  l_2ndWon  l_SvGms  l_bpSaved l_bpFaced  
0   61.0     34.0      25.0      14.0     10.0        3.0       5.0  
1   55.0     31.0      18.0       9.0      8.0        2.0       6.0  
2   84.0     54.0      41.0      16.0     12.0        2.0       2.0  
3  104.0     62.0      46.0      21.0     16.0        8.0      11.0  
4   98.0     52.0      41.0      27.0     15.0        7.0       8.0