Search and replace values with df.loc without Exceptions due to dtype incompatibility
Project description
A tolerant version of df.loc
Search and replace values with df.loc without Exceptions due to dtype incompatibility. If the dtypes of 2 variables don't match, they will be converted until they match.
pip install a_pandas_ex_easy_loc
Some examples
import pandas as pd
df = pd.read_csv("https://github.com/pandas-dev/pandas/raw/main/doc/data/titanic.csv")
# df.loc[df.Ticket >20000]
from random import randrange
getrandomlist = lambda x: [
[[randrange(1, 100), randrange(1, 100)] * 1] * randrange(1, 10)
]
df["listtest"] = df.PassengerId.map(getrandomlist)
getrandomdict = lambda x: {
randrange(1, 100):randrange(1, 100) for _ in range(randrange(1, 10))
}
df["dicttest"] = df.PassengerId.map(getrandomdict)
from a_easy_loc import pd_add_easy_loc
pd_add_easy_loc()
df.shortloc_greater_replace('Pclass', 2,3000)
df.shortloc_equal('Pclass', 3)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN S [[[44,... {5: 8,...
2 3 1 3 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN S [[[60,... {33: 3...
4 5 0 3 Allen,... male 35.00 0 0 373450 8.0500 NaN S [[[99,... {96: 1...
5 6 0 3 Moran,... male NaN 0 0 330877 8.4583 NaN Q [[[82,... {23: 1...
7 8 0 3 Palsso... male 2.00 3 1 349909 21.0750 NaN S [[[14,... {20: 8...
8 9 1 3 Johnso... female 27.00 0 2 347742 11.1333 NaN S [[[12,... {96: 5...
df.shortloc_equal('Ticket', 373450)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
4 5 0 3 Allen,... male 35.0 0 0 373450 8.05 NaN S [[[99,... {96: 1...
df.shortloc_greater('Pclass', 2)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN S [[[44,... {5: 8,...
2 3 1 3 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN S [[[60,... {33: 3...
4 5 0 3 Allen,... male 35.00 0 0 373450 8.0500 NaN S [[[99,... {96: 1...
5 6 0 3 Moran,... male NaN 0 0 330877 8.4583 NaN Q [[[82,... {23: 1...
df.shortloc_greater('Ticket', 373450)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
16 17 0 3 Rice, ... male 2.0 4 1 382652 29.1250 NaN Q [[[17,... {46: 7...
50 51 0 3 Panula... male 7.0 4 1 3101295 39.6875 NaN S [[[30,... {64: 2...
68 69 1 3 Anders... female 17.0 4 2 3101281 7.9250 NaN S [[[4, ... {92: 3...
77 78 0 3 Moutal... male NaN 0 0 374746 8.0500 NaN S [[[65,... {47: 9...
85 86 1 3 Backst... female 33.0 3 0 3101278 15.8500 NaN S [[[55,... {5: 22...
df.shortloc_greater_or_equal('Age', 43)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
6 7 0 1 McCart... male 54.0 0 0 17463 51.8625 E46 S [[[47,... {22: 17}
11 12 1 1 Bonnel... female 58.0 0 0 113783 26.5500 C103 S [[[1, ... {35: 9}
15 16 1 2 Hewlet... female 55.0 0 0 248706 16.0000 NaN S [[[43,... {40: 6...
33 34 0 2 Wheado... male 66.0 0 0 C.A. 2... 10.5000 NaN S [[[6, ... {50: 28}
52 53 1 1 Harper... female 49.0 1 0 PC 17572 76.7292 D33 C [[[41,... {54: 6...
df.shortloc_greater_replace('Pclass', 2,3000)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3000 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN S [[[65,... {76: 3...
1 2 1 1 Cuming... female 38.00 1 0 PC 17599 71.2833 C85 C [[[1, ... {55: 3...
2 3 1 3000 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN S [[[56,... {7: 54...
3 4 1 1 Futrel... female 35.00 1 0 113803 53.1000 C123 S [[[91,... {51: 89}
4 5 0 3000 Allen,... male 35.00 0 0 373450 8.0500 NaN S [[[20,... {39: 5...
5 6 0 3000 Moran,... male NaN 0 0 330877 8.4583 NaN Q [[[60,... {63: 2...
6 7 0 1 McCart... male 54.00 0 0 17463 51.8625 E46 S [[[51,... {1: 90...
df.shortloc_greater_replace('Ticket', 5000, 888000)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN S [[[74,... {40: 3...
1 2 1 1 Cuming... female 38.00 1 0 PC 17599 71.2833 C85 C [[[67,... {1: 8}
2 3 1 3 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN S [[[62,... {39: 79}
3 4 1 1 Futrel... female 35.00 1 0 888000 53.1000 C123 S [[[15,... {13: 2...
4 5 0 3 Allen,... male 35.00 0 0 888000 8.0500 NaN S [[[81,... {60: 90}
5 6 0 3 Moran,... male NaN 0 0 888000 8.4583 NaN Q [[[58,... {20: 4}
6 7 0 1 McCart... male 54.00 0 0 888000 51.8625 E46 S [[[28,... {21: 8...
7 8 0 3 Palsso... male 2.00 3 1 888000 21.0750 NaN S [[[25,... {53: 8...
8 9 1 3 Johnso... female 27.00 0 2 888000 11.1333 NaN S [[[47,... {19: 3...
df.shortloc_greater_replace('Cabin','C123', pd.NA)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN S [[[74,... {40: 3...
1 2 1 1 Cuming... female 38.00 1 0 PC 17599 71.2833 <NA> C [[[67,... {1: 8}
2 3 1 3 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN S [[[62,... {39: 79}
3 4 1 1 Futrel... female 35.00 1 0 113803 53.1000 C123 S [[[15,... {13: 2...
4 5 0 3 Allen,... male 35.00 0 0 373450 8.0500 NaN S [[[81,... {60: 90}
5 6 0 3 Moran,... male NaN 0 0 330877 8.4583 NaN Q [[[58,... {20: 4}
6 7 0 1 McCart... male 54.00 0 0 17463 51.8625 <NA> S [[[28,... {21: 8...
7 8 0 3 Palsso... male 2.00 3 1 349909 21.0750 NaN S [[[25,... {53: 8...
df.shortloc_in_iter('listtest', 3)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
19 20 1 3 Masselmani, Mrs.... female NaN 0 0 2649 7.2250 NaN C [[[32, 3], [32, ... {98: 75, 69: 39,...
66 67 1 2 Nye, Mrs. (Eliza... female 29.0 0 0 C.A. 29395 10.5000 F33 S [[[3, 98], [3, 9... {60: 81}
92 93 0 1 Chaffee, Mr. Her... male 46.0 1 0 W.E.P. 5734 61.1750 E31 S [[[52, 3], [52, ... {80: 25}
106 107 1 3 Salkjelsvik, Mis... female 21.0 0 0 343120 7.6500 NaN S [[[85, 3], [85, ... {62: 49}
120 121 0 2 Hickman, Mr. Sta... male 21.0 2 0 S.O.C. 14879 73.5000 NaN S [[[40, 3], [40, ... {28: 85, 60: 72,...
129 130 0 3 Ekstrom, Mr. Johan male 45.0 0 0 347061 6.9750 NaN S [[[3, 76], [3, 7... {79: 2, 30: 18, ...
132 133 0 3 Robins, Mrs. Ale... female 47.0 1 0 A/5. 3337 14.5000 NaN S [[[3, 68], [3, 6... {69: 90, 1: 23, ...
184 185 1 3 Kink-Heilmann, M... female 4.0 0 2 315153 22.0250 NaN S [[[3, 88], [3, 8... {24: 74, 30: 11,...
df.shortloc_in_iter('listtest', [3,4,10])
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
19 20 1 3 Masselmani, Mrs.... female NaN 0 0 2649 7.2250 NaN C [[[32, 3], [32, ... {98: 75, 69: 39,...
22 23 1 3 McGowan, Miss. A... female 15.00 0 0 330923 8.0292 NaN Q [[[13, 4], [13, ... {56: 86, 30: 5, ...
27 28 0 1 Fortune, Mr. Cha... male 19.00 3 2 19950 263.0000 C23 C25 C27 S [[[4, 66], [4, 6... {58: 98, 32: 55,...
66 67 1 2 Nye, Mrs. (Eliza... female 29.00 0 0 C.A. 29395 10.5000 F33 S [[[3, 98], [3, 9... {60: 81}
74 75 1 3 Bing, Mr. Lee male 32.00 0 0 1601 56.4958 NaN S [[[14, 4], [14, ... {31: 31, 64: 38,...
84 85 1 2 Ilett, Miss. Bertha female 17.00 0 0 SO/C 14885 10.5000 NaN S [[[18, 10], [18,... {81: 64, 10: 80,...
df.shortloc_in_iter('dicttest', [3,4,10])
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[58, 72], [58, 72]]] {20: 4}
8 9 1 3 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[47, 12], [47, 12]]] {19: 3, 60: 24, 9: 38}
df.shortloc_in_iter('dicttest', [3,4,10])
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
96 97 0 1 Goldschmidt, Mr. George B male 71.0 0 0 PC 17754 34.6542 A5 C [[[94, 4], [94, 4], [94, 4], [94, 4], [94, 4], [94, 4]]] {67: 92, 24: 19, 53: 40, 66: 53, 44: 81, 94: 10, 34: 63, 61: 45}
103 104 0 3 Johansson, Mr. Gustaf Joel male 33.0 0 0 7540 8.6542 NaN S [[[89, 10], [89, 10], [89, 10], [89, 10], [89, 10]]] {92: 23, 32: 17, 53: 3, 98: 94}
129 130 0 3 Ekstrom, Mr. Johan male 45.0 0 0 347061 6.9750 NaN S [[[3, 76], [3, 76], [3, 76], [3, 76], [3, 76], [3, 76], [3, 76]]] {79: 2, 30: 18, 63: 10, 62: 26, 91: 58, 11: 44, 8: 81, 6: 93, 97: 5}
df.shortloc_in_iter_replace('dicttest', [3,4,10], 15151515)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[74, 68], [74, 68], [74,... {40: 30, 93: 84, 24: 92, 7...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[67, 64], [67, 64], [67,... {1: 8}
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[62, 65], [62, 65], [62,... {39: 79}
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[15, 96], [15, 96], [15,... {13: 29, 65: 59, 99: 31}
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[81, 13]]] {60: 90}
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[58, 72], [58, 72]]] 15151515
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[28, 98], [28, 98], [28,... {21: 8, 31: 42, 9: 40, 93:...
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[25, 88], [25, 88], [25,... {53: 83, 49: 66, 57: 95, 4...
8 9 1 3 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[47, 12], [47, 12]]] 15151515
df.shortloc_isin('Embarked', ['C', 'S'])
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[74, 68], [74, 68], [74,... {40: 30, 93: 84, 24: 92, 7...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[67, 64], [67, 64], [67,... {1: 8}
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[62, 65], [62, 65], [62,... {39: 79}
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[15, 96], [15, 96], [15,... {13: 29, 65: 59, 99: 31}
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[81, 13]]] {60: 90}
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[28, 98], [28, 98], [28,... {21: 8, 31: 42, 9: 40, 93:...
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[25, 88], [25, 88], [25,... {53: 83, 49: 66, 57: 95, 4...
8 9 1 3 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[47, 12], [47, 12]]] {19: 3, 60: 24, 9: 38}
df.shortloc_isin_replace('Embarked', ['C', 'S'], 'CCCCCCCCCCCCCCCCCCCSSSSSSSSSSSSSSSSSSSSSSSSSSSSS')
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund... male 22.00 1 0 A/5 21171 7.2500 NaN CCCCCC... [[[74,... {40: 3...
1 2 1 1 Cuming... female 38.00 1 0 PC 17599 71.2833 C85 CCCCCC... [[[67,... {1: 8}
2 3 1 3 Heikki... female 26.00 0 0 STON/O... 7.9250 NaN CCCCCC... [[[62,... {39: 79}
3 4 1 1 Futrel... female 35.00 1 0 113803 53.1000 C123 CCCCCC... [[[15,... {13: 2...
4 5 0 3 Allen,... male 35.00 0 0 373450 8.0500 NaN CCCCCC... [[[81,... {60: 90}
5 6 0 3 Moran,... male NaN 0 0 330877 8.4583 NaN Q [[[58,... {20: 4}
df.shortloc_isna('Age')
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
17 18 1 2 Williams, Mr. Charles Eugene male NaN 0 0 244373 13.0000 NaN S [[[17, 6], [17, 6], [17, 6... {41: 6, 2: 82}
19 20 1 3 Masselmani, Mrs. Fatima female NaN 0 0 2649 7.2250 NaN C [[[11, 37], [11, 37], [11,... {43: 73, 50: 28, 38: 47, 4...
26 27 0 3 Emir, Mr. Farred Chehab male NaN 0 0 2631 7.2250 NaN C [[[48, 66], [48, 66], [48,... {33: 45, 82: 90}
28 29 1 3 O'Dwyer, Miss. Ellen "Nellie" female NaN 0 0 330959 7.8792 NaN Q [[[3, 53], [3, 53]]] {29: 90, 84: 86}
29 30 0 3 Todoroff, Mr. Lalio male NaN 0 0 349216 7.8958 NaN S [[[67, 3], [67, 3], [67, 3... {57: 49, 23: 71, 64: 45, 1...
31 32 1 1 Spencer, Mrs. William Augu... female NaN 1 0 PC 17569 146.5208 B78 C [[[88, 94], [88, 94], [88,... {4: 42, 98: 58, 94: 7, 39:...
df.shortloc_isna_replace('Age',16541)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male 16541.00 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
df.shortloc_less('Ticket', 7534)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
19 20 1 3 Masselmani, Mrs. Fatima female NaN 0 0 2649 7.2250 NaN C [[[11, 37], [11, 37], [11,... {43: 73, 50: 28, 38: 47, 4...
26 27 0 3 Emir, Mr. Farred Chehab male NaN 0 0 2631 7.2250 NaN C [[[48, 66], [48, 66], [48,... {33: 45, 82: 90}
36 37 1 3 Mamee, Mr. Hanna male NaN 0 0 2677 7.2292 NaN C [[[84, 24], [84, 24], [84,... {39: 19, 88: 50, 23: 7, 53...
39 40 1 3 Nicola-Yarred, Miss. Jamila female 14.00 1 0 2651 11.2417 NaN C [[[20, 72], [20, 72], [20,... {72: 91, 81: 15, 89: 24, 9...
48 49 0 3 Samaan, Mr. Youssef male NaN 2 0 2662 21.6792 NaN C [[[79, 85], [79, 85], [79,... {35: 61}
53 54 1 2 Faunthorpe, Mrs. Lizzie (E... female 29.00 1 0 2926 26.0000 NaN S [[[62, 79], [62, 79]]] {36: 53, 38: 70, 6: 1, 89:...
57 58 0 3 Novel, Mr. Mansouer male 28.50 0 0 2697 7.2292 NaN C [[[86, 78], [86, 78]]] {28: 5, 49: 22}
60 61 0 3 Sirayanian, Mr. Orsen male 22.00 0 0 2669 7.2292 NaN C [[[24, 72]]] {74: 59, 16: 44, 30: 17, 5...
65 66 1 3 Moubarek, Master. Gerios male NaN 1 1 2661 15.2458 NaN C [[[56, 96], [56, 96], [56,... {5: 34, 59: 97, 78: 15, 76...
73 74 0 3 Chronopoulos, Mr. Apostolos male 26.00 1 0 2680 14.4542 NaN C [[[78, 24], [78, 24]]] {96: 26, 87: 73, 58: 49, 3...
74 75 1 3 Bing, Mr. Lee male 32.00 0 0 1601 56.4958 NaN S [[[86, 20], [86, 20], [86,... {84: 87, 18: 40, 17: 28, 7...
df.shortloc_less_replace('Age', 30, 'less 30')
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male less 30 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.0 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
2 3 1 3 Heikkinen, Miss. Laina female less 30 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.0 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
df.shortloc_less_or_equal_replace('Survived', 0, 'DEAD')
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 DEAD 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
4 5 DEAD 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 DEAD 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
6 7 DEAD 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
7 8 DEAD 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
df.shortloc_not_equal_replace('Survived', 0, True)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
1 2 True 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
2 3 True 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
3 4 True 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
df.shortloc_not_in_iter('listtest', list(range(0,90)))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
832 833 0 3 Saad, Mr. Amin male NaN 0 0 2671 7.2292 NaN C [[[95, 94], [95, 94], [95,... {82: 66, 84: 5}
484 485 1 1 Bishop, Mr. Dickinson H male 25.0 1 0 11967 91.0792 B49 C [[[97, 92], [97, 92], [97,... {20: 34, 2: 23, 98: 37, 1:...
581 582 1 1 Thayer, Mrs. John Borland ... female 39.0 1 1 17421 110.8833 C68 C [[[91, 90], [91, 90]]] {48: 98, 3: 98, 93: 4, 97:...
336 337 0 1 Pears, Mr. Thomas Clinton male 29.0 1 0 113776 66.6000 C2 S [[[90, 98], [90, 98]]] {6: 7}
116 117 0 3 Connors, Mr. Patrick male 70.5 0 0 370369 7.7500 NaN Q [[[92, 99], [92, 99], [92,... {60: 79, 75: 71, 28: 68, 5...
52 53 1 1 Harper, Mrs. Henry Sleeper... female 49.0 1 0 PC 17572 76.7292 D33 C [[[96, 94], [96, 94], [96,... {20: 53, 93: 11, 83: 79, 5...
439 440 0 2 Kvillner, Mr. Johan Henrik... male 31.0 0 0 C.A. 18723 10.5000 NaN S [[[95, 98], [95, 98], [95,... {58: 11, 89: 23, 22: 66, 1...
56 57 1 2 Rugg, Miss. Emily female 21.0 0 0 C.A. 31026 10.5000 NaN S [[[92, 92], [92, 92], [92,... {45: 1, 37: 98}
df.shortloc_not_in_iter_replace('listtest', list(range(0,20)), 27)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S 27 {36: 67, 73: 54, 56: 48, 8...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C 27 {9: 77}
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S 27 {49: 6, 76: 22, 52: 18, 6:...
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S 27 {27: 90, 9: 38, 18: 94, 67...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S 27 {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q 27 {97: 78, 85: 88, 42: 34}
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
df.shortloc_regex('Fare', r'^\d?7\.').to_string(max_colwidth=30)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
14 15 0 3 Vestrom, Miss. Hulda Amand... female 14.0 0 0 350406 7.8542 NaN S [[[40, 57], [40, 57], [40,... {54: 39, 8: 35, 76: 84, 20...
19 20 1 3 Masselmani, Mrs. Fatima female NaN 0 0 2649 7.2250 NaN C [[[11, 37], [11, 37], [11,... {43: 73, 50: 28, 38: 47, 4...
26 27 0 3 Emir, Mr. Farred Chehab male NaN 0 0 2631 7.2250 NaN C [[[48, 66], [48, 66], [48,... {33: 45, 82: 90}
28 29 1 3 O'Dwyer, Miss. Ellen "Nellie" female NaN 0 0 330959 7.8792 NaN Q [[[3, 53], [3, 53]]] {29: 90, 84: 86}
29 30 0 3 Todoroff, Mr. Lalio male NaN 0 0 349216 7.8958 NaN S [[[67, 3], [67, 3], [67, 3... {57: 49, 23: 71, 64: 45, 1...
30 31 0 1 Uruchurtu, Don. Manuel E male 40.0 0 0 PC 17601 27.7208 NaN C [[[91, 32], [91, 32], [91,... {1: 29, 54: 93, 96: 7}
df.shortloc_not_regex('Fare', r'^\d?7\.').to_string(max_colwidth=30)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
8 9 1 3 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[92, 21], [92, 21], [92,... {61: 17, 72: 44, 81: 74, 3...
9 10 1 2 Nasser, Mrs. Nicholas (Ade... female 14.00 1 0 237736 30.0708 NaN C [[[88, 97], [88, 97], [88,... {69: 43}
df.shortloc_str('Pclass', r'3').to_string(max_colwidth=30)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
8 9 1 3 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[92, 21], [92, 21], [92,... {61: 17, 72: 44, 81: 74, 3...
10 11 1 3 Sandstrom, Miss. Marguerit... female 4.00 1 1 PP 9549 16.7000 G6 S [[[28, 63], [28, 63], [28,... {12: 80, 63: 96, 79: 99, 5...
12 13 0 3 Saundercock, Mr. William H... male 20.00 0 0 A/5. 2151 8.0500 NaN S [[[34, 91], [34, 91], [34,... {42: 68, 46: 90, 66: 96, 3...
13 14 0 3 Andersson, Mr. Anders Johan male 39.00 1 5 347082 31.2750 NaN S [[[3, 47], [3, 47], [3, 47... {94: 60, 73: 33, 59: 32, 3...
14 15 0 3 Vestrom, Miss. Hulda Amand... female 14.00 0 0 350406 7.8542 NaN S [[[40, 57], [40, 57], [40,... {54: 39, 8: 35, 76: 84, 20...
16 17 0 3 Rice, Master. Eugene male 2.00 4 1 382652 29.1250 NaN Q [[[24, 8], [24, 8], [24, 8... {20: 91, 56: 55, 11: 16, 3...
df.shortloc_str_replace('Pclass', r'3',4).to_string(max_colwidth=30)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 4 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
2 3 1 4 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
4 5 0 4 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 4 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
7 8 0 4 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
8 9 1 4 Johnson, Mrs. Oscar W (Eli... female 27.00 0 2 347742 11.1333 NaN S [[[92, 21], [92, 21], [92,... {61: 17, 72: 44, 81: 74, 3...
9 10 1 2 Nasser, Mrs. Nicholas (Ade... female 14.00 1 0 237736 30.0708 NaN C [[[88, 97], [88, 97], [88,... {69: 43}
10 11 1 4 Sandstrom, Miss. Marguerit... female 4.00 1 1 PP 9549 16.7000 G6 S [[[28, 63], [28, 63], [28,... {12: 80, 63: 96, 79: 99, 5...
df.loc_positive_and(
("Pclass", "==", 3),
("Sex", "!=", "male"),
("Age", ">=", 1),
("Pclass", ">=", 3),
("listtest", "in_iter", [11, 22, 33, 44, 55, 66, 77, 88, 99]),
("Sex", "in", ["female", "male"]),
("Name", "re", r"Miss\."),
("Ticket", ">", 5000),
("Embarked", "str", "S"),
)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
24 25 0 3 Palsson, Miss. Torborg Danira female 8.0 3 1 349909 21.0750 NaN S [[[44, 33], [44, 33], [44,... {98: 85, 8: 23, 21: 77, 85...
141 142 1 3 Nysten, Miss. Anna Sofia female 22.0 0 0 347081 7.7500 NaN S [[[44, 30]]] {25: 15, 24: 14, 16: 26, 5...
192 193 1 3 Andersen-Jensen, Miss. Car... female 19.0 1 0 350046 7.8542 NaN S [[[39, 55], [39, 55], [39,... {1: 44, 16: 59, 80: 13, 81...
634 635 0 3 Skoog, Miss. Mabel female 9.0 3 2 347088 27.9000 NaN S [[[11, 22]]] {40: 7}
df.loc_positive_and(('Ticket','==', 373450), ('Pclass','==', 3))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
4 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.05 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
df.loc_positive_or(('Ticket','==', 373450), ('Pclass','==', 3))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
0 1 0 3 Braund, Mr. Owen Harris male 22.00 1 0 A/5 21171 7.2500 NaN S [[[27, 71], [27, 71], [27,... {36: 67, 73: 54, 56: 48, 8...
2 3 1 3 Heikkinen, Miss. Laina female 26.00 0 0 STON/O2. 3101282 7.9250 NaN S [[[31, 23]]] {49: 6, 76: 22, 52: 18, 6:...
4 5 0 3 Allen, Mr. William Henry male 35.00 0 0 373450 8.0500 NaN S [[[60, 84], [60, 84], [60,... {8: 61, 37: 4, 25: 43, 21:...
5 6 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q [[[25, 39], [25, 39]]] {97: 78, 85: 88, 42: 34}
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
df.loc_positive_and(('Age','>=', 13), ('Age','<=', 19))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
9 10 1 2 Nasser, Mrs. Nicholas (Ade... female 14.0 1 0 237736 30.0708 NaN C [[[88, 97], [88, 97], [88,... {69: 43}
14 15 0 3 Vestrom, Miss. Hulda Amand... female 14.0 0 0 350406 7.8542 NaN S [[[40, 57], [40, 57], [40,... {54: 39, 8: 35, 76: 84, 20...
22 23 1 3 McGowan, Miss. Anna "Annie" female 15.0 0 0 330923 8.0292 NaN Q [[[85, 85], [85, 85], [85,... {80: 2, 70: 5, 27: 24, 10:...
27 28 0 1 Fortune, Mr. Charles Alexa... male 19.0 3 2 19950 263.0000 C23 C25 C27 S [[[7, 96], [7, 96], [7, 96... {60: 4, 22: 96, 55: 28, 97...
38 39 0 3 Vander Planke, Miss. Augus... female 18.0 2 0 345764 18.0000 NaN S [[[82, 50], [82, 50], [82,... {70: 41, 90: 86, 46: 95, 3...
39 40 1 3 Nicola-Yarred, Miss. Jamila female 14.0 1 0 2651 11.2417 NaN C [[[20, 72], [20, 72], [20,... {72: 91, 81: 15, 89: 24, 9...
44 45 1 3 Devaney, Miss. Margaret Delia female 19.0 0 0 330958 7.8792 NaN Q [[[97, 1], [97, 1], [97, 1... {89: 44, 58: 86, 48: 54, 9...
49 50 0 3 Arnold-Franchi, Mrs. Josef... female 18.0 1 0 349237 17.8000 NaN S [[[64, 68], [64, 68]]] {67: 59, 96: 34, 8: 64, 45...
67 68 0 3 Crease, Mr. Ernest James male 19.0 0 0 S.P. 3464 8.1583 NaN S [[[30, 77], [30, 77], [30,... {37: 56, 52: 5, 80: 12, 86...
df.loc_positive_and(('Ticket','!=', 373450), ('Pclass','!=', 3))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
1 2 1 1 Cumings, Mrs. John Bradley... female 38.00 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
3 4 1 1 Futrelle, Mrs. Jacques Hea... female 35.00 1 0 113803 53.1000 C123 S [[[96, 48], [96, 48], [96,... {27: 90, 9: 38, 18: 94, 67...
6 7 0 1 McCarthy, Mr. Timothy J male 54.00 0 0 17463 51.8625 E46 S [[[76, 5], [76, 5], [76, 5... {56: 51, 13: 24, 84: 24, 9...
9 10 1 2 Nasser, Mrs. Nicholas (Ade... female 14.00 1 0 237736 30.0708 NaN C [[[88, 97], [88, 97], [88,... {69: 43}
11 12 1 1 Bonnell, Miss. Elizabeth female 58.00 0 0 113783 26.5500 C103 S [[[66, 84], [66, 84]]] {87: 7, 75: 62, 84: 22, 94...
15 16 1 2 Hewlett, Mrs. (Mary D King... female 55.00 0 0 248706 16.0000 NaN S [[[93, 7], [93, 7], [93, 7... {17: 96, 7: 68, 74: 5, 97:...
df.loc_negative_and(('Age','>=', 13), ('Sex','str', 'female'))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
386 387 0 3 Goodwin, Master. Sidney Le... male 1.00 5 2 CA 2144 46.9000 NaN S [[[32, 26], [32, 26], [32,... {42: 33, 97: 56, 33: 73, 7...
261 262 1 3 Asplund, Master. Edvin Roj... male 3.00 4 2 347077 31.3875 NaN S [[[40, 73], [40, 73], [40,... {7: 23, 93: 3, 18: 66, 96:...
7 8 0 3 Palsson, Master. Gosta Leo... male 2.00 3 1 349909 21.0750 NaN S [[[42, 52], [42, 52], [42,... {71: 69, 44: 14}
16 17 0 3 Rice, Master. Eugene male 2.00 4 1 382652 29.1250 NaN Q [[[24, 8], [24, 8], [24, 8... {20: 91, 56: 55, 11: 16, 3...
787 788 0 3 Rice, Master. George Hugh male 8.00 4 1 382652 29.1250 NaN Q [[[32, 90], [32, 90], [32,... {5: 17, 83: 1, 82: 16, 21:...
788 789 1 3 Dean, Master. Bertram Vere male 1.00 1 2 C.A. 2315 20.5750 NaN S [[[27, 72], [27, 72], [27,... {58: 65, 42: 92, 61: 72}
278 279 0 3 Rice, Master. Eric male 7.00 4 1 382652 29.1250 NaN Q [[[48, 59], [48, 59], [48,... {16: 64, 97: 83, 66: 91, 9...
df.shortloc_regex('Name', '^Ab').shortloc_not_equal('Sex', 'male').shortloc_equal('Age', 35)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
279 280 1 3 Abbott, Mrs. Stanton (Rosa... female 35.0 1 1 C.A. 2673 20.25 NaN S [[[93, 85], [93, 85], [93,... {37: 16, 68: 58, 42: 7, 20...
df.shortloc_in_iter('dicttest', 65).shortloc_not_in_iter('listtest', [77,65,80,83])
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
515 516 0 1 Walker, Mr. William Anderson male 47.0 0 0 36967 34.0208 D46 S [[[55, 13], [55, 13], [55,... {67: 25, 73: 76, 93: 74, 6...
772 773 0 2 Mack, Mrs. (Mary) female 57.0 0 0 S.O./P.P. 3 10.5000 E77 S [[[3, 67], [3, 67], [3, 67... {20: 62, 88: 78, 22: 65, 1...
518 519 1 2 Angle, Mrs. William A (Flo... female 36.0 1 0 226875 26.0000 NaN S [[[78, 94], [78, 94]]] {32: 53, 48: 66, 20: 5, 67...
10 11 1 3 Sandstrom, Miss. Marguerit... female 4.0 1 1 PP 9549 16.7000 G6 S [[[28, 63], [28, 63], [28,... {12: 80, 63: 96, 79: 99, 5...
275 276 1 1 Andrews, Miss. Kornelia Th... female 63.0 1 0 13502 77.9583 D7 S [[[84, 21]]] {31: 95, 27: 48, 89: 25, 6...
788 789 1 3 Dean, Master. Bertram Vere male 1.0 1 2 C.A. 2315 20.5750 NaN S [[[27, 72], [27, 72], [27,... {58: 65, 42: 92, 61: 72}
df.shortloc_not_isna("Cabin").shortloc_str("Cabin", "C").shortloc_not_regex(
"Cabin", "^.{4,}$"
)
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
1 2 1 1 Cumings, Mrs. John Bradley... female 38.0 1 0 PC 17599 71.2833 C85 C [[[31, 68], [31, 68], [31,... {9: 77}
269 270 1 1 Bissette, Miss. Amelia female 35.0 0 0 PC 17760 135.6333 C99 S [[[89, 54], [89, 54], [89,... {50: 9, 91: 60, 30: 67, 46...
527 528 0 1 Farthing, Mr. John male NaN 0 0 PC 17483 221.7792 C95 S [[[9, 72], [9, 72], [9, 72... {41: 24, 63: 10}
151 152 1 1 Pears, Mrs. Thomas (Edith ... female 22.0 1 0 113776 66.6000 C2 S [[[24, 98], [24, 98], [24,... {80: 92, 25: 89, 32: 82, 1...
412 413 1 1 Minahan, Miss. Daisy E female 33.0 1 0 19928 90.0000 C78 Q [[[2, 41]]] {57: 41}
544 545 0 1 Douglas, Mr. Walter Donald male 50.0 1 0 PC 17761 106.4250 C86 C [[[55, 21], [55, 21], [55,... {51: 49, 16: 20}
550 551 1 1 Thayer, Mr. John Borland Jr male 17.0 0 2 17421 110.8833 C70 C [[[37, 20], [37, 20], [37,... {17: 85, 49: 77}
430 431 1 1 Bjornstrom-Steffansson, Mr... male 28.0 0 0 110564 26.5500 C52 S [[[14, 61], [14, 61], [14,... {62: 40}
df.shortloc_in_iter('listtest',[99, 77]).shortloc_regex('listtest',r"7\b,\s*\b9"))
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked listtest dicttest
111 112 0 3 Zabour, Miss. Hileni female 14.5 1 0 2665 14.4542 NaN C [[[27, 99], [27, 99], [27,... {76: 81, 62: 60, 98: 43, 5...
#all methods can also be used against Series
#Two examples
df.Pclass.shortloc_regex('^2$')
Out[54]:
9 2
15 2
17 2
20 2
21 2
..
df.Pclass.shortloc_regex_replace('^3$',2000)
Out[56]:
0 2000
1 1
2 2000
3 1
4 2000
...
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