that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) aaba 4 baca 5 6 caba 7 dog 8 cat dtype: string Powerful pattern-matching methods are provided as well, but note that pattern-matching generally uses regular expres- sions by default (and in some string The replace method also accepts a compiled regular expression object from re.compile() as a pattern. All flags should be included in the compiled regular expression object. In [52]: import re In

that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) aaba 4 baca 5 NaN 6 caba 7 dog 8 cat dtype: object Powerful pattern-matching methods are provided as well, but note that pattern-matching generally uses regular expres- sions by default (and in some 0. The replace method also accepts a compiled regular expression object from re.compile() as a pattern. All flags should be included in the compiled regular expression object. In [37]: import re In

that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) aaba 4 baca 5 NaN 6 caba 7 dog 8 cat dtype: object Powerful pattern-matching methods are provided as well, but note that pattern-matching generally uses regular expres- sions by default (and in some 0. The replace method also accepts a compiled regular expression object from re.compile() as a pattern. All flags should be included in the compiled regular expression object. In [37]: import re In

. . . . . . . . . . . . . . . . . . . . 514 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 518 2.9.8 Creating indicator variables . . . . . the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: • Split the data into groups be calculated on entire columns or rows • groupby provides the power of the split-apply-combine pattern • value_counts is a convenient shortcut to count the number of entries in each category of a variable

. . . . . . . . . . . . . . . . . . . . 514 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 518 2.9.8 Creating indicator variables . . . . . the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: • Split the data into groups be calculated on entire columns or rows • groupby provides the power of the split-apply-combine pattern • value_counts is a convenient shortcut to count the number of entries in each category of a variable

. . . . . . . . . . . . . . . . . . . . 506 2.6.7 Testing for Strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 510 2.6.8 Creating indicator variables . . . . . that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: • Split the data into groups

. . . . . . . . . . . . . . . . . . . . 505 2.6.7 Testing for Strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 509 2.6.8 Creating indicator variables . . . . . that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: • Split the data into groups

. . . . . . . . . . . . . . . . . . . . 507 3.6.7 Testing for Strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 511 3.6.8 Creating indicator variables . . . . . that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in str generally uses regular expressions by default (and in some cases always uses them) the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: • Split the data into groups

. . . . . . . . . . . . . . . . . . . . 591 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 595 2.9.8 Creating indicator variables . . . . . the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: 38 Chapter 1. Getting started be calculated on entire columns or rows • groupby provides the power of the split-apply-combine pattern • value_counts is a convenient shortcut to count the number of entries in each category of a variable

. . . . . . . . . . . . . . . . . . . . 591 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 595 2.9.8 Creating indicator variables . . . . . the Sex column) is a common pattern. The groupby method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern: 38 Chapter 1. Getting started be calculated on entire columns or rows • groupby provides the power of the split-apply-combine pattern • value_counts is a convenient shortcut to count the number of entries in each category of a variable