使用 pandas 替换 a.tsv 文件中的特殊字符

Question

I have a data frame I am trying to replace '[' and ']' for my.tsv file.

cols_to_check = ['NUMBERS']
df[cols_to_check] = df[cols_to_check].str.replace({'[':''}, regex=True)
df.to_csv("output.tsv", sep='\t')

I'm not sure. The characters don't replace in output. They remain the same. Here is an example of input: ['1,2']

Output: '1,2'

Answer 1

It looks like pd.Series.str.replace uses two strings (or a compiled regex + callable) rather than a dictionary. Further, if we are simply replacing one character (or string) with another, regex can be set to False.

Try the following code instead:

cols_to_check = ['NUMBERS']
df[cols_to_check] = df[cols_to_check].str.replace(pat='[', repl='', regex=False)
df.to_csv("output.tsv", sep='\t')