将 pandas df 行拆分为多列

Question

I have a csv that I needed to split on \n because because of the file type. After separating this df into two separate dfs I am left with rows that look like this

27  Block\t"Column"\t"Row"\t"X"\t"Y"\t"Dia."\t"Fla...
28  1\t1\t1\t17834.00\t38902.00\t10.00\t0\t513.27\...
29  1\t2\t1\t17852.00\t38902.00\t10.00\t0\t495.84\...
30  1\t3\t1\t17870.00\t38902.00\t10.00\t0\t525.76\...
31  1\t4\t1\t17888.00\t38902.00\t10.00\t0\t456.27\...

How can I create columns from the delimiter \t?

Answer 1

Something lke this might be what you're looking for...

df['Block'] = df['Block'].str.split('/t').str[0]
df['Column'] = df['Columnl'].str.split('/t').str[1]

Answer 2

Use the following code:

df[['Block','Column', 'Row', 'X', 'Y', etc]] = df['<Column Name>'].str.split(r'\t',expand=True)

Replace etc with the rest of the column names. Replace <Column Name> with the name of the column when you print the df.

A simpler method might be to download the dataframe as a csv, then reread it with a \t delimiter.