Read CSV file using Pandas: complex separator

Question

I have a csv file which I want to read using python panda. The header and lines looks the following:

 A           ^B^C^D^E  ^F          ^G           ^H^I^J^K^L^M^N

Clearly it seen that, separator is ^, sometimes there are some odd spaces. How can I read this file perfectly?

I am using the following command to read the csv file:

df = pd.read_csv('input.csv', sep='^')

Answer 1

Use regex \s*\^ which means 0 or more whitespace and ^, you have to specify the python engine here to avoid a warning about regex support:

In [152]:

t="""A           ^B^C^D^E  ^F          ^G           ^H^I^J^K^L^M^N"""
df= pd.read_csv(io.StringIO(t), sep='\s*\^', engine='python')
df.columns
Out[152]:
Index(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N'], dtype='object')