boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile('binary.dat', dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile('binary.dat', dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile('binary.dat', dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile(’binary.dat’, dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Warning: In previous versions, match was for extracting groups, returning a not-so-convenient Series

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile(’binary.dat’, dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Warning: In previous versions, match was for extracting groups, returning a not-so-convenient Series

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile(’binary.dat’, dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Warning: In previous versions, match was for extracting groups, returning a not-so-convenient Series

boolean indexer. (Their distinction is strictness: match relies on re.match while contains relies on re.search.) In this release, the deprecated behavior is the default, but the new behavior is available through fromfile('binary.dat', dt)) Note: The offsets of the structure elements may be different depending on the architecture of the machine on which the file was created. Using a raw binary file format like this for general between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. 392 Chapter 11. Working with Text Data pandas: powerful Python data analysis toolkit, Release

GH30225) • Index.get_indexer_non_unique() could fail with TypeError in some cases, such as when search- ing for ints in a string index (GH28257) • Bug in Float64Index.get_loc() incorrectly raising TypeError 834847 2000-01-08 -1.613737 1.625981 start and stop parameters can be specified to limit the total search space. These are in terms of the total number of rows in a table. Note: select will raise a ValueError between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values

300199 2000-01-08 -0.999591 -0.320658 start and stop parameters can be specified to limit the total search space. These are in terms of the total number of rows in a table. Note: select will raise a ValueError between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values string match() Call re.match on each element, returning matched groups as list extract() Call re.search on each element, returning DataFrame with one row for each element and one column for each regex

300199 2000-01-08 -0.999591 -0.320658 start and stop parameters can be specified to limit the total search space. These are in terms of the total number of rows in a table. Note: select will raise a ValueError between match and contains is strictness: match relies on strict re.match, while contains relies on re.search. Methods like match, contains, startswith, and endswith take an extra na argument so missing values string match() Call re.match on each element, returning matched groups as list extract() Call re.search on each element, returning DataFrame with one row for each element and one column for each regex