df_xx['予'] = df_xx['予'].replace("\t","", regex=True) df_xx['予'] = df_xx['予'].replace("\n","", regex=True) \n \tを消したい。 予 0 \n\t\t\t\t\t\t\t\t\t ...

Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...