Spilt items in a row to columns through pandas

I need to splits items in a row to columns on the occurence of '^' character. This needs to done through pandas without a loop preferably

I have

0   A^
3   206-1C
4   502-2B
5   506-0.5C
6   604-1B
7   907-2B
8   G.ELITE^
9   A201-1C
10  A202-1B

I want

A^	G.ELITE^
206-1C	A201-1C.
502-2B.	A202-1B
506-0.5C
604-1B
907-2B.

test=rd.query('texts.str.contains("\^")', engine='python')

Solution

One way to do this is to split the dataframe where the value ends in ^ and then join those split dataframes horizontally, setting the column names from the splitting values:

# find values ending with ^
m = df.iloc[:, 0].str.endswith('^')

# split the dataframe at those points
s = list(np.nonzero(m)[0]) + [len(df)]
dfs = [df.iloc[s[i]+1:s[i+1]].reset_index(drop=True) for i in range(len(s)-1)]

# append the split frame as columns
out = pd.concat(dfs, axis=1).fillna('')

# and set the column names
out.columns = df[m].iloc[:, 0].to_list()

Assumed sample data:

df = pd.DataFrame({'value': ['A^', '206-1C', '502-2B', '506-0.5C', '604-1B', '907-2B', 'G.ELITE^', 'A201-1C', 'A202-1B']})

Output:

         A^ G.ELITE^
0    206-1C  A201-1C
1    502-2B  A202-1B
2  506-0.5C
3    604-1B
4    907-2B