You can use the read_csv()
function from pandas to convert data separated by pipes into a dataframe. Simply specify the sep
parameter as '|'
. Here's an example:
import pandas as pd
# sample data separated by pipes
data = 'Name|Age|Gender\nJohn|25|M\nMary|30|F\nBob|20|M'
# convert data to dataframe
df = pd.read_csv(pd.compat.StringIO(data), sep='|')
print(df)
Output:
Name Age Gender
0 John 25 M
1 Mary 30 F
2 Bob 20 M
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Asked: 2022-03-08 11:00:00 +0000
Seen: 7 times
Last updated: Apr 03 '22
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