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StringMethods(
data=None,
index: vendored_pandas_typing.Axes | None = None,
dtype: typing.Optional[
bigframes.dtypes.DtypeString | bigframes.dtypes.Dtype
] = None,
name: str | None = None,
copy: typing.Optional[bool] = None,
*,
session: typing.Optional[bigframes.session.Session] = None
)
Vectorized string functions for Series and Index.
NAs stay NA unless handled otherwise by a particular method. Patterned after Python's string methods, with some inspiration from R's stringr package.
Methods
capitalize
capitalize() -> bigframes.series.Series
Convert strings in the Series/Index to be capitalized.
Equivalent to str.capitalize
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['lower',
... 'CAPITALS',
... 'this is a sentence',
... 'SwApCaSe'])
>>> s.str.capitalize()
0 Lower
1 Capitals
2 This is a sentence
3 Swapcase
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with captitalized strings. |
cat
cat(
others: typing.Union[str, bigframes.series.Series],
*,
join: typing.Literal["outer", "left"] = "left"
) -> bigframes.series.Series
Concatenate strings in the Series/Index with given separator.
If others
is specified, this function concatenates the Series/Index
and elements of others
element-wise.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
You can concatenate each string in a Series to another string.
>>> s = bpd.Series(['Jane', 'John'])
>>> s.str.cat(" Doe")
0 Jane Doe
1 John Doe
dtype: string
You can concatenate another Series. By default left join is performed to align the corresponding elements.
>>> s.str.cat(bpd.Series([" Doe", " Foe", " Roe"]))
0 Jane Doe
1 John Foe
dtype: string
>>> s.str.cat(bpd.Series([" Doe", " Foe", " Roe"], index=[2, 0, 1]))
0 Jane Foe
1 John Roe
dtype: string
You can enforce an outer join.
>>> s.str.cat(bpd.Series([" Doe", " Foe", " Roe"]), join="outer")
0 Jane Doe
1 John Foe
2 <NA>
dtype: string
Parameters | |
---|---|
Name | Description |
others |
str or Series
A string or a Series of strings. |
join |
{'left', 'outer'}, default 'left'
Determines the join-style between the calling Series and any Series in |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with concatenated strings. |
center
center(width: int, fillchar: str = " ") -> bigframes.series.Series
Pad left and right side of strings in the Series/Index.
Equivalent to str.center
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(['dog', 'bird', 'mouse'])
>>> ser.str.center(8, fillchar='.')
0 ..dog...
1 ..bird..
2 .mouse..
dtype: string
Parameters | |
---|---|
Name | Description |
width |
int
Minimum width of resulting string; additional characters will be filled with character defined in |
fillchar |
str, default ' '
Additional character for filling, default is whitespace. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Returns Series or Index with minimum number of char in object. |
contains
contains(
pat, case: bool = True, flags: int = 0, *, regex: bool = True
) -> bigframes.series.Series
Test if pattern or regex is contained within a string of a Series or Index.
Return boolean Series or Index based on whether a given pattern or regex is contained within a string of a Series or Index.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
Returning a Series of booleans using only a literal pattern.
>>> s1 = bpd.Series(['Mouse', 'dog', 'house and parrot', '23', None])
>>> s1.str.contains('og')
0 False
1 True
2 False
3 False
4 <NA>
dtype: boolean
Specifying case sensitivity using case
.
>>> s1.str.contains('oG', case=True)
0 False
1 False
2 False
3 False
4 <NA>
dtype: boolean
Returning 'house' or 'dog' when either expression occurs in a string.
>>> s1.str.contains('house|dog', regex=True)
0 False
1 True
2 True
3 False
4 <NA>
dtype: boolean
Ignoring case sensitivity using flags
with regex.
>>> import re
>>> s1.str.contains('PARROT', flags=re.IGNORECASE, regex=True)
0 False
1 False
2 True
3 False
4 <NA>
dtype: boolean
Returning any digit using regular expression.
>>> s1.str.contains('\d', regex=True)
0 False
1 False
2 False
3 True
4 <NA>
dtype: boolean
Ensure pat
is a not a literal pattern when regex
is set to True.
Note in the following example one might expect only s2[1] and s2[3]
to return True
. However, '.0' as a regex matches any character
followed by a 0.
>>> s2 = bpd.Series(['40', '40.0', '41', '41.0', '35'])
>>> s2.str.contains('.0', regex=True)
0 True
1 True
2 False
3 True
4 False
dtype: boolean
Parameters | |
---|---|
Name | Description |
pat |
str, re.Pattern
Character sequence or regular expression. |
case |
bool, default True
If True, case sensitive. |
flags |
int, default 0
Flags to pass through to the re module, e.g. re.IGNORECASE. |
regex |
bool, default True
If True, assumes the pat is a regular expression. If False, treats the pat as a literal string. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A Series or Index of boolean values indicating whether the given pattern is contained within the string of each element of the Series or Index. |
endswith
endswith(pat: typing.Union[str, tuple[str, ...]]) -> bigframes.series.Series
Test if the end of each string element matches a pattern.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['bat', 'bear', 'caT', bpd.NA])
>>> s
0 bat
1 bear
2 caT
3 <NA>
dtype: string
>>> s.str.endswith('t')
0 True
1 False
2 False
3 <NA>
dtype: boolean
>>> s.str.endswith(('t', 'T'))
0 True
1 False
2 True
3 <NA>
dtype: boolean
Parameter | |
---|---|
Name | Description |
pat |
str, tuple[str, ...]
Character sequence or tuple of strings. Regular expressions are not accepted. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A Series of booleans indicating whether the given pattern matches the end of each string element. |
extract
extract(pat: str, flags: int = 0) -> bigframes.dataframe.DataFrame
Extract capture groups in the regex pat
as columns in a DataFrame.
For each subject string in the Series, extract groups from the
first match of regular expression pat
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
A pattern with two groups will return a DataFrame with two columns.
Non-matches will be NaN
.
>>> s = bpd.Series(['a1', 'b2', 'c3'])
>>> s.str.extract(r'([ab])(\d)')
0 1
0 a 1
1 b 2
2 <NA> <NA>
<BLANKLINE>
[3 rows x 2 columns]
Named groups will become column names in the result.
>>> s.str.extract(r'(?P<letter>[ab])(?P<digit>\d)')
letter digit
0 a 1
1 b 2
2 <NA> <NA>
<BLANKLINE>
[3 rows x 2 columns]
A pattern with one group will return a DataFrame with one column.
>>> s.str.extract(r'[ab](\d)')
0
0 1
1 2
2 <NA>
<BLANKLINE>
[3 rows x 1 columns]
Parameters | |
---|---|
Name | Description |
pat |
str
Regular expression pattern with capturing groups. |
flags |
int, default 0 (no flags)
Flags from the |
Returns | |
---|---|
Type | Description |
bigframes.dataframe.DataFrame | A DataFrame with one row for each subject string, and one column for each group. Any capture group names in regular expression pat will be used for column names; otherwise capture group numbers will be used. |
find
find(
sub: str, start: typing.Optional[int] = None, end: typing.Optional[int] = None
) -> bigframes.series.Series
Return lowest indexes in each strings in the Series/Index.
Each of returned indexes corresponds to the position where the
substring is fully contained between [start:end]. Return -1 on
failure. Equivalent to standard str.find
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(["cow_", "duck_", "do_ve"])
>>> ser.str.find("_")
0 3
1 4
2 2
dtype: Int64
Parameters | |
---|---|
Name | Description |
sub |
str
Substring being searched. |
start |
int, default 0
Left edge index. |
end |
int, default None
Right edge index. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with lowest indexes in each strings. |
fullmatch
fullmatch(pat, case=True, flags=0) -> bigframes.series.Series
Determine if each string entirely matches a regular expression.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(["cat", "duck", "dove"])
>>> ser.str.fullmatch(r'd.+')
0 False
1 True
2 True
dtype: boolean
Parameters | |
---|---|
Name | Description |
pat |
str
Character sequence or regular expression. |
case |
bool
If True, case sensitive. |
flags |
int, default 0
Regex module flags, e.g. re.IGNORECASE. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series of boolean values |
get
get(i: int) -> bigframes.series.Series
Extract element from each component at specified position or with specified key.
Extract element from lists, tuples, dict, or strings in each element in the Series/Index.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(["apple", "banana", "fig"])
>>> s.str.get(3)
0 l
1 a
2 <NA>
dtype: string
Parameter | |
---|---|
Name | Description |
i |
int
Position or key of element to extract. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series |
isalnum
isalnum() -> bigframes.series.Series
Check whether all characters in each string are alphanumeric.
This is equivalent to running the Python string method
str.isalnum
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s1 = bpd.Series(['one', 'one1', '1', ''])
>>> s1.str.isalnum()
0 True
1 True
2 True
3 False
dtype: boolean
Note that checks against characters mixed with any additional punctuation or whitespace will evaluate to false for an alphanumeric check.
>>> s2 = bpd.Series(['A B', '1.5', '3,000'])
>>> s2.str.isalnum()
0 False
1 False
2 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
isalpha
isalpha() -> bigframes.series.Series
Check whether all characters in each string are alphabetic.
This is equivalent to running the Python string method
str.isalpha
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s1 = bpd.Series(['one', 'one1', '1', ''])
>>> s1.str.isalpha()
0 True
1 False
2 False
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with the same length as the originalSeries/Index. |
isdecimal
isdecimal() -> bigframes.series.Series
Check whether all characters in each string are decimal.
This is equivalent to running the Python string method
str.isdecimal
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
The isdecimal
method checks for characters used to form numbers in
base 10.
>>> s = bpd.Series(['23', '³', '⅕', ''])
>>> s.str.isdecimal()
0 True
1 False
2 False
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
isdigit
isdigit() -> bigframes.series.Series
Check whether all characters in each string are digits.
This is equivalent to running the Python string method
str.isdigit
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['23', '1a', '1/5', ''])
>>> s.str.isdigit()
0 True
1 False
2 False
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with the same length as the originalSeries/Index. |
islower
islower() -> bigframes.series.Series
Check whether all characters in each string are lowercase.
This is equivalent to running the Python string method
str.islower
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
>>> s.str.islower()
0 True
1 False
2 False
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
isnumeric
isnumeric() -> bigframes.series.Series
Check whether all characters in each string are numeric.
This is equivalent to running the Python string method
str.isnumeric
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s1 = bpd.Series(['one', 'one1', '1', ''])
>>> s1.str.isnumeric()
0 False
1 False
2 True
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
isspace
isspace() -> bigframes.series.Series
Check whether all characters in each string are whitespace.
This is equivalent to running the Python string method
str.isspace
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series([' ', '\t\r\n ', ''])
>>> s.str.isspace()
0 True
1 True
2 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
isupper
isupper() -> bigframes.series.Series
Check whether all characters in each string are uppercase.
This is equivalent to running the Python string method
str.isupper
for each element of the Series/Index. If a string
has zero characters, False
is returned for that check.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
>>> s.str.isupper()
0 False
1 False
2 True
3 False
dtype: boolean
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of boolean values with the same length as the original Series/Index. |
len
len() -> bigframes.series.Series
Compute the length of each element in the Series/Index.
The element may be a sequence (such as a string, tuple or list) or a collection (such as a dictionary).
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
Returns the length (number of characters) in a string.
>>> s = bpd.Series(['dog', '', bpd.NA])
>>> s.str.len()
0 3
1 0
2 <NA>
dtype: Int64
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A Series or Index of integer values indicating the length of each element in the Series or Index. |
ljust
ljust(width, fillchar=" ") -> bigframes.series.Series
Pad right side of strings in the Series/Index up to width.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(['dog', 'bird', 'mouse'])
>>> ser.str.ljust(8, fillchar='.')
0 dog.....
1 bird....
2 mouse...
dtype: string
Parameters | |
---|---|
Name | Description |
width |
int
Minimum width of resulting string; additional characters will be filled with character defined in |
fillchar |
str, default ' '
Additional character for filling, default is whitespace. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Returns Series or Index with minimum number of char in object. |
lower
lower() -> bigframes.series.Series
Convert strings in the Series/Index to lowercase.
Equivalent to str.lower
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['lower',
... 'CAPITALS',
... 'this is a sentence',
... 'SwApCaSe'])
>>> s.str.lower()
0 lower
1 capitals
2 this is a sentence
3 swapcase
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with lowercase. |
lstrip
lstrip() -> bigframes.series.Series
Remove leading characters.
Strip whitespaces (including newlines) or a set of specified characters
from each string in the Series/Index from left side.
Replaces any non-strings in Series with NaNs.
Equivalent to str.lstrip
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['Ant', ' Bee ', '\tCat\n', bpd.NA])
>>> s
0 Ant
1 Bee
2 Cat
<BLANKLINE>
3 <NA>
dtype: string
>>> s.str.lstrip()
0 Ant
1 Bee
2 Cat
<BLANKLINE>
3 <NA>
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series without leading characters. |
match
match(pat, case=True, flags=0) -> bigframes.series.Series
Determine if each string starts with a match of a regular expression.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(["horse", "eagle", "donkey"])
>>> ser.str.match("e")
0 False
1 True
2 False
dtype: boolean
Parameters | |
---|---|
Name | Description |
pat |
str
Character sequence or regular expression. |
case |
bool
If True, case sensitive. |
flags |
int, default 0
Regex module flags, e.g. re.IGNORECASE. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series of boolean values |
pad
pad(width, side="left", fillchar=" ") -> bigframes.series.Series
Pad strings in the Series/Index up to width.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(["caribou", "tiger"])
>>> s
0 caribou
1 tiger
dtype: string
>>> s.str.pad(width=10)
0 caribou
1 tiger
dtype: string
>>> s.str.pad(width=10, side='right', fillchar='-')
0 caribou---
1 tiger-----
dtype: string
>>> s.str.pad(width=10, side='both', fillchar='-')
0 -caribou--
1 --tiger---
dtype: string
Parameters | |
---|---|
Name | Description |
width |
int
Minimum width of resulting string; additional characters will be filled with character defined in |
side |
{'left', 'right', 'both'}, default 'left'
Side from which to fill resulting string. |
fillchar |
str, default ' '
Additional character for filling, default is whitespace. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Returns Series or Index with minimum number of char in object. |
repeat
repeat(repeats: int) -> bigframes.series.Series
Duplicate each string in the Series or Index.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['a', 'b', 'c'])
>>> s
0 a
1 b
2 c
dtype: string
>>> s.str.repeat(repeats=2)
0 aa
1 bb
2 cc
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index of repeated string objects specified by input parameter repeats. |
replace
replace(
pat: typing.Union[str, re.Pattern],
repl: str,
*,
case: typing.Optional[bool] = None,
flags: int = 0,
regex: bool = False
) -> bigframes.series.Series
Replace each occurrence of pattern/regex in the Series/Index.
Equivalent to str.replace
or re.sub
, depending on
the regex value.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
When pat is a string and regex is True, the given pat is compiled
as a regex. When repl is a string, it replaces matching regex patterns
as with re.sub()
. NaN value(s) in the Series are left as is:
>>> s = bpd.Series(['foo', 'fuz', bpd.NA])
>>> s.str.replace('f.', 'ba', regex=True)
0 bao
1 baz
2 <NA>
dtype: string
When pat is a string and regex is False, every pat is replaced
with repl as with str.replace()
:
>>> s = bpd.Series(['f.o', 'fuz', bpd.NA])
>>> s.str.replace('f.', 'ba', regex=False)
0 bao
1 fuz
2 <NA>
dtype: string
Parameters | |
---|---|
Name | Description |
pat |
str, re.Pattern
String can be a character sequence or regular expression. |
repl |
str
Replacement string. |
case |
default None
Determines if replace is case sensitive: - If True, case sensitive (the default if |
flags |
int, default 0
Regex module flags, e.g. re.IGNORECASE. Cannot be set if |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A copy of the object with all matching occurrences of pat replaced by repl . |
reverse
reverse() -> bigframes.series.Series
Reverse strings in the Series.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(["apple", "banana", "", bpd.NA])
>>> s.str.reverse()
0 elppa
1 ananab
2
3 <NA>
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A Series of booleans indicating whether the given pattern matches the start of each string element. |
rjust
rjust(width, fillchar=" ") -> bigframes.series.Series
Pad left side of strings in the Series/Index up to width.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series(['dog', 'bird', 'mouse'])
>>> ser.str.rjust(8, fillchar='.')
0 .....dog
1 ....bird
2 ...mouse
dtype: string
Parameters | |
---|---|
Name | Description |
width |
int
Minimum width of resulting string; additional characters will be filled with character defined in |
fillchar |
str, default ' '
Additional character for filling, default is whitespace. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Returns Series or Index with minimum number of char in object. |
rstrip
rstrip() -> bigframes.series.Series
Remove trailing characters.
Strip whitespaces (including newlines) or a set of specified characters
from each string in the Series/Index from right side.
Replaces any non-strings in Series with NaNs.
Equivalent to str.rstrip
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['Ant', ' Bee ', '\tCat\n', bpd.NA])
>>> s
0 Ant
1 Bee
2 Cat
<BLANKLINE>
3 <NA>
dtype: string
>>> s.str.rstrip()
0 Ant
1 Bee
2 Cat
3 <NA>
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series without trailing characters. |
slice
slice(
start: typing.Optional[int] = None, stop: typing.Optional[int] = None
) -> bigframes.series.Series
Slice substrings from each element in the Series or Index.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(["koala", "dog", "chameleon"])
>>> s
0 koala
1 dog
2 chameleon
dtype: string
>>> s.str.slice(start=1)
0 oala
1 og
2 hameleon
dtype: string
>>> s.str.slice(stop=2)
0 ko
1 do
2 ch
dtype: string
>>> s.str.slice(start=2, stop=5)
0 ala
1 g
2 ame
dtype: string
Parameters | |
---|---|
Name | Description |
start |
int, optional
Start position for slice operation. |
stop |
int, optional
Stop position for slice operation. |
step |
int, optional
Step size for slice operation. |
startswith
startswith(pat: typing.Union[str, tuple[str, ...]]) -> bigframes.series.Series
Test if the start of each string element matches a pattern.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['bat', 'Bear', 'caT', bpd.NA])
>>> s
0 bat
1 Bear
2 caT
3 <NA>
dtype: string
>>> s.str.startswith('b')
0 True
1 False
2 False
3 <NA>
dtype: boolean
>>> s.str.startswith(('b', 'B'))
0 True
1 True
2 False
3 <NA>
dtype: boolean
Parameter | |
---|---|
Name | Description |
pat |
str, tuple[str, ...]
Character sequence or tuple of strings. Regular expressions are not accepted. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | A Series of booleans indicating whether the given pattern matches the start of each string element. |
strip
strip() -> bigframes.series.Series
Remove leading and trailing characters.
Strip whitespaces (including newlines) or a set of specified characters
from each string in the Series/Index from left and right sides.
Replaces any non-strings in Series with NaNs.
Equivalent to str.strip
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['Ant', ' Bee ', '\tCat\n', bpd.NA])
>>> s
0 Ant
1 Bee
2 Cat
<BLANKLINE>
3 <NA>
dtype: string
>>> s.str.strip()
0 Ant
1 Bee
2 Cat
3 <NA>
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series or Index without leading and trailing characters. |
upper
upper() -> bigframes.series.Series
Convert strings in the Series/Index to uppercase.
Equivalent to str.upper
.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['lower',
... 'CAPITALS',
... 'this is a sentence',
... 'SwApCaSe'])
>>> s.str.upper()
0 LOWER
1 CAPITALS
2 THIS IS A SENTENCE
3 SWAPCASE
dtype: string
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series with uppercase strings. |
zfill
zfill(width: int) -> bigframes.series.Series
Pad strings in the Series/Index by prepending '0' characters.
Strings in the Series/Index are padded with '0' characters on the
left of the string to reach a total string length width
. Strings
in the Series/Index with length greater or equal to width
are
unchanged.
Examples:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(['-1', '1', '1000', bpd.NA])
>>> s
0 -1
1 1
2 1000
3 <NA>
dtype: string
>>> s.str.zfill(3)
0 -01
1 001
2 1000
3 <NA>
dtype: string
Parameter | |
---|---|
Name | Description |
width |
int
Minimum length of resulting string; strings with length less than |
Returns | |
---|---|
Type | Description |
bigframes.series.Series | Series of objects. |