String

The following methods are available under the Series.str attribute.

Series.str.concat([delimiter, ignore_nulls])	Vertically concat the values in the Series to a single string value.
Series.str.contains(pattern, *[, literal, ...])	Check if strings in Series contain a substring that matches a regex.
Series.str.count_match(pattern)	Count all successive non-overlapping regex matches.
Series.str.count_matches(pattern, *[, literal])	Count all successive non-overlapping regex matches.
Series.str.decode(encoding, *[, strict])	Decode a value using the provided encoding.
Series.str.encode(encoding)	Encode a value using the provided encoding.
Series.str.ends_with(suffix)	Check if string values end with a substring.
Series.str.explode()	Returns a column with a separate row for every string character.
Series.str.extract(pattern[, group_index])	Extract the target capture group from provided patterns.
Series.str.extract_all(pattern)	Extract all matches for the given regex pattern.
Series.str.extract_groups(pattern)	Extract all capture groups for the given regex pattern.
Series.str.json_decode([dtype, ...])	Parse string values as JSON.
Series.str.json_extract([dtype, ...])	Parse string values as JSON.
Series.str.json_path_match(json_path)	Extract the first match of json string with provided JSONPath expression.
Series.str.len_bytes()	Return the length of each string as the number of bytes.
Series.str.len_chars()	Return the length of each string as the number of characters.
Series.str.lengths()	Return the number of bytes in each string.
Series.str.ljust(length[, fill_char])	Return the string left justified in a string of length length.
Series.str.lstrip([characters])	Remove leading characters.
Series.str.n_chars()	Return the length of each string as the number of characters.
Series.str.pad_end(length[, fill_char])	Pad the end of the string until it reaches the given length.
Series.str.pad_start(length[, fill_char])	Pad the start of the string until it reaches the given length.
Series.str.replace(pattern, value, *[, ...])	Replace first matching regex/literal substring with a new string value.
Series.str.replace_all(pattern, value, *[, ...])	Replace all matching regex/literal substrings with a new string value.
Series.str.rjust(length[, fill_char])	Return the string right justified in a string of length length.
Series.str.rstrip([characters])	Remove trailing characters.
Series.str.slice(offset[, length])	Create subslices of the string values of a Utf8 Series.
Series.str.split(by, *[, inclusive])	Split the string by a substring.
Series.str.split_exact(by, n, *[, inclusive])	Split the string by a substring using n splits.
Series.str.splitn(by, n)	Split the string by a substring, restricted to returning at most n items.
Series.str.starts_with(prefix)	Check if string values start with a substring.
Series.str.strip([characters])	Remove leading and trailing characters.
Series.str.strip_chars([characters])	Remove leading and trailing characters.
Series.str.strip_chars_start([characters])	Remove leading characters.
Series.str.strip_chars_end([characters])	Remove trailing characters.
Series.str.strip_prefix(prefix)	Remove prefix.
Series.str.strip_suffix(suffix)	Remove suffix.
Series.str.strptime(dtype[, format, strict, ...])	Convert a Utf8 column into a Date/Datetime/Time column.
Series.str.to_date([format, strict, exact, ...])	Convert a Utf8 column into a Date column.
Series.str.to_datetime([format, time_unit, ...])	Convert a Utf8 column into a Datetime column.
Series.str.to_decimal([inference_length])	Convert a Utf8 column into a Decimal column.
Series.str.to_lowercase()	Modify the strings to their lowercase equivalent.
Series.str.to_time([format, strict, cache])	Convert a Utf8 column into a Time column.
Series.str.to_titlecase()	Modify the strings to their titlecase equivalent.
Series.str.to_uppercase()	Modify the strings to their uppercase equivalent.
Series.str.zfill(length)	Pad the start of the string with zeros until it reaches the given length.
Series.str.parse_int([base, strict])	Parse integers with base radix from strings.