用空格分隔的 csv 列名和值中有空格

Question

I have to load a csv file to dataframe but the columns are separated with single spaces and also contain spaces in columns/values names. File looks like that:

'Mod Ports Card Type                              Model              Serial No.',
'  3   20  7600 ES+                               7600-ES+20G3C      SAL1550Y9DL',
'  5    2  Route Switch Processor 720 (Active)    RSP720-3C-GE       SAL16095Q9W',
etc.

My best idea so far was to check for length of the word in the column name and then check if the corresponding values lower has bigger of lower number of characters but in some cases like 'Card Type' and '7600 ES+' could be potentially recognized as 2 separate columns.

What's important is that this solution has to be universal and work not only for this example but for different ones too. My goal is to read this file to dataframe or any other data structure.

I tried to use the pd.read_fwf() function but it gives incorrect results. The output dataframe for my file looks like that:

So not only it didn't catch the Card type correctly but it merged it with ports and created some Unnamed columns.

Answer 1

You can use read_fwf() :

df = pd.read_fwf('my_file.csv')

It will work the best if you provide it with widths parameter for each column.

EDIT

Using the data you provided you can get results with colspecs parameter:

df = pd.read_fwf(a, colspecs=[(0, 4), (4, 10), (10, 49), (49, 68), (68, 1000)])
df

   Mod  Ports                            Card Type          Model   Serial No.
0    3     20                             7600 ES+  7600-ES+20G3C  SAL1550Y9DL
1    5      2  Route Switch Processor 720 (Active)   RSP720-3C-GE  SAL16095Q9W