Cannot read csv file in pandas read

I am trying to read a csv file in Pandas. The file seems in a strange format I downloaded from LinkedIN campaign manager. Can you help me read this file normally? Here is the code:

path = r'C:\Users\FilePath' # use your path
all_files = glob.glob(os.path.join(path, "*.csv"))
dfAllDataLI = pd.concat((pd.read_csv(f) for f in all_files), ignore_index=True)

Here is the error:

UnicodeDecodeError                        Traceback (most recent call 

last)
~\AppData\Local\Temp/ipykernel_11340/2382686370.py in <module>
      3 path = r'C:\Users\pchauh04\OneDrive - dentsu\Dokumente\Wiencom DB\Data\Data_New\Linkedin' # use your path
      4 all_files = glob.glob(os.path.join(path, "*.csv"))
----> 5 dfAllDataLI = pd.concat((pd.read_csv(f) for f in all_files), ignore_index=True)
      6 dfAllDataLI = dfAllDataLI.fillna('')
      7 

c:\Users\pchauh04\Anaconda3\lib\site-packages\pandas\util\_decorators.py in wrapper(*args, **kwargs)
    309                     stacklevel=stacklevel,
    310                 )
--> 311             return func(*args, **kwargs)
    312 
    313         return wrapper

c:\Users\pchauh04\Anaconda3\lib\site-packages\pandas\core\reshape\concat.py in concat(objs, axis, join, ignore_index, keys, levels, names, verify_integrity, sort, copy)
    292     ValueError: Indexes have overlapping values: ['a']
    293     """
--> 294     op = _Concatenator(
    295         objs,
    296         axis=axis,

c:\Users\pchauh04\Anaconda3\lib\site-packages\pandas\core\reshape\concat.py in __init__(self, objs, axis, join, keys, levels, names, ignore_index, verify_integrity, copy, sort)
    346             objs = [objs[k] for k in keys]
...
c:\Users\pchauh04\Anaconda3\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()

c:\Users\pchauh04\Anaconda3\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.raise_parser_error()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte

CodePudding user response：

The file has 5 non-CSV rows before the column header.

Happily, read_csv allows you to skip those lines. You'll also need to specify the text encoding (it's UTF-16LE, not UTF-8) and separator for that file (it's tab-separated):

import pandas as pd

df = pd.read_csv('csv file.csv', skiprows=5, encoding='utf-16le', sep='\t')
print(df.columns)

outputs

Index(['Start Date (in UTC)', 'Account Name', 'Campaign Group Name',
       'Campaign Group ID', 'Campaign Name', 'Campaign ID', 'Campaign Type',
       'Campaign Start Date', 'Campaign Group Start Date', 'Campaign End Date',
       'Total Budget', 'Clicks', 'Impressions', 'Average CPM', 'Average CPC',
       'Avg. Last Day Reach', 'Video Completions'],
      dtype='object')