20 String Methods in Python That Are Commonly Used by Data Scientists

A reference list of Python string methods for data scientists

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1. str.lower() — returns a copy of the string with all the characters in lowercase.

name = "JOHN DOE"

# Convert to lowercase
print(name.lower())  # Output: "john doe"

2. str.upper() — returns a copy of the string with all the characters in uppercase.

name = "john doe"

# Convert the string to uppercase
print(name.upper())  # Output: "JOHN DOE"

3. str.strip() — returns a copy of the string with leading and trailing whitespace removed.

sentence = "  This is a sample sentence.  "

# Strip leading and trailing whitespace from the string
stripped_sentence = sentence.strip()

print(stripped_sentence)  # Output: "This is a sample sentence."

4. str.isalpha() — returns True if all the characters in the string are alphabetic, and False otherwise.

string1 = "Hello"
string2 = "Hello123"

# Check if the string consists only of alphabetic characters
is_alpha1 = string1.isalpha()
is_alpha2 = string2.isalpha()

print(is_alpha1)  # Output: True
print(is_alpha2)  # Output: False