Using mutliple text formatting using lambda function in pandas dataframe in python? -

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i trying format given string contains alphabets, special characters, , numbers. target remove except alphabets , space in string. able in multiple line of code not good. can me reformat blow line of codes can multiple formatting in online instead 4- lines below?

scholar['title_format'] = scholar['title'].map(lambda x: str(x)) #change value string  scholar['title_format'] = scholar['title_format'].map(lambda x: re.sub(r'[^a-za-z ]', '', x)) #remove special characters  scholar['title_format'] = scholar['title_format'].map(lambda x: re.sub(r'[0-9]', '', x)) #remove numbers  scholar['title_format'] = scholar['title_format'].map(lambda x: x.lower()) #change lower case

iiuc:

scholar['title_format'] = scholar['title'].astype(str).str.lower() \                                           .str.replace(r'[^a-z\s]*', '')

update:

scholar['title_format'] = scholar['title'].astype(str).str.lower() \                                           .str.replace(r'[^a-z]*', '') \                                           .map(lambda x: ''.join(sorted(x)))




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