/pandas/tests/frame/test_replace.py
Python | 1115 lines | 883 code | 136 blank | 96 comment | 4 complexity | 8f02194ccba3d17b274dc628dda9a184 MD5 | raw file
Possible License(s): BSD-3-Clause, Apache-2.0
- # -*- coding: utf-8 -*-
- from __future__ import print_function
- from datetime import datetime
- import re
- import numpy as np
- import pytest
- from pandas.compat import StringIO, lrange, range, zip
- import pandas as pd
- from pandas import DataFrame, Index, Series, Timestamp, compat, date_range
- from pandas.tests.frame.common import TestData
- from pandas.util.testing import assert_frame_equal, assert_series_equal
- class TestDataFrameReplace(TestData):
- def test_replace_inplace(self):
- self.tsframe['A'][:5] = np.nan
- self.tsframe['A'][-5:] = np.nan
- tsframe = self.tsframe.copy()
- tsframe.replace(np.nan, 0, inplace=True)
- assert_frame_equal(tsframe, self.tsframe.fillna(0))
- # mixed type
- mf = self.mixed_frame
- mf.iloc[5:20, mf.columns.get_loc('foo')] = np.nan
- mf.iloc[-10:, mf.columns.get_loc('A')] = np.nan
- result = self.mixed_frame.replace(np.nan, 0)
- expected = self.mixed_frame.fillna(value=0)
- assert_frame_equal(result, expected)
- tsframe = self.tsframe.copy()
- tsframe.replace([np.nan], [0], inplace=True)
- assert_frame_equal(tsframe, self.tsframe.fillna(0))
- def test_regex_replace_scalar(self):
- obj = {'a': list('ab..'), 'b': list('efgh')}
- dfobj = DataFrame(obj)
- mix = {'a': lrange(4), 'b': list('ab..')}
- dfmix = DataFrame(mix)
- # simplest cases
- # regex -> value
- # obj frame
- res = dfobj.replace(r'\s*\.\s*', np.nan, regex=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.replace(r'\s*\.\s*', np.nan, regex=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.replace(r'\s*(\.)\s*', r'\1\1\1', regex=True)
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.replace(r'\s*(\.)\s*', r'\1\1\1', regex=True)
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- # everything with compiled regexs as well
- res = dfobj.replace(re.compile(r'\s*\.\s*'), np.nan, regex=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.replace(re.compile(r'\s*\.\s*'), np.nan, regex=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.replace(re.compile(r'\s*(\.)\s*'), r'\1\1\1')
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.replace(re.compile(r'\s*(\.)\s*'), r'\1\1\1')
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- res = dfmix.replace(regex=re.compile(r'\s*(\.)\s*'), value=r'\1\1\1')
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- res = dfmix.replace(regex=r'\s*(\.)\s*', value=r'\1\1\1')
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- def test_regex_replace_scalar_inplace(self):
- obj = {'a': list('ab..'), 'b': list('efgh')}
- dfobj = DataFrame(obj)
- mix = {'a': lrange(4), 'b': list('ab..')}
- dfmix = DataFrame(mix)
- # simplest cases
- # regex -> value
- # obj frame
- res = dfobj.copy()
- res.replace(r'\s*\.\s*', np.nan, regex=True, inplace=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.copy()
- res.replace(r'\s*\.\s*', np.nan, regex=True, inplace=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.copy()
- res.replace(r'\s*(\.)\s*', r'\1\1\1', regex=True, inplace=True)
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.copy()
- res.replace(r'\s*(\.)\s*', r'\1\1\1', regex=True, inplace=True)
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- # everything with compiled regexs as well
- res = dfobj.copy()
- res.replace(re.compile(r'\s*\.\s*'), np.nan, regex=True, inplace=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.copy()
- res.replace(re.compile(r'\s*\.\s*'), np.nan, regex=True, inplace=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.copy()
- res.replace(re.compile(r'\s*(\.)\s*'), r'\1\1\1', regex=True,
- inplace=True)
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.copy()
- res.replace(re.compile(r'\s*(\.)\s*'), r'\1\1\1', regex=True,
- inplace=True)
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- res = dfobj.copy()
- res.replace(regex=r'\s*\.\s*', value=np.nan, inplace=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.copy()
- res.replace(regex=r'\s*\.\s*', value=np.nan, inplace=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.copy()
- res.replace(regex=r'\s*(\.)\s*', value=r'\1\1\1', inplace=True)
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.copy()
- res.replace(regex=r'\s*(\.)\s*', value=r'\1\1\1', inplace=True)
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- # everything with compiled regexs as well
- res = dfobj.copy()
- res.replace(regex=re.compile(r'\s*\.\s*'), value=np.nan, inplace=True)
- assert_frame_equal(dfobj, res.fillna('.'))
- # mixed
- res = dfmix.copy()
- res.replace(regex=re.compile(r'\s*\.\s*'), value=np.nan, inplace=True)
- assert_frame_equal(dfmix, res.fillna('.'))
- # regex -> regex
- # obj frame
- res = dfobj.copy()
- res.replace(regex=re.compile(r'\s*(\.)\s*'), value=r'\1\1\1',
- inplace=True)
- objc = obj.copy()
- objc['a'] = ['a', 'b', '...', '...']
- expec = DataFrame(objc)
- assert_frame_equal(res, expec)
- # with mixed
- res = dfmix.copy()
- res.replace(regex=re.compile(r'\s*(\.)\s*'), value=r'\1\1\1',
- inplace=True)
- mixc = mix.copy()
- mixc['b'] = ['a', 'b', '...', '...']
- expec = DataFrame(mixc)
- assert_frame_equal(res, expec)
- def test_regex_replace_list_obj(self):
- obj = {'a': list('ab..'), 'b': list('efgh'), 'c': list('helo')}
- dfobj = DataFrame(obj)
- # lists of regexes and values
- # list of [re1, re2, ..., reN] -> [v1, v2, ..., vN]
- to_replace_res = [r'\s*\.\s*', r'e|f|g']
- values = [np.nan, 'crap']
- res = dfobj.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': ['a', 'b', np.nan, np.nan], 'b': ['crap'] * 3 +
- ['h'], 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [re1, re2, .., reN]
- to_replace_res = [r'\s*(\.)\s*', r'(e|f|g)']
- values = [r'\1\1', r'\1_crap']
- res = dfobj.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['e_crap',
- 'f_crap',
- 'g_crap', 'h'],
- 'c': ['h', 'e_crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [(re1 or v1), (re2 or v2), ..., (reN
- # or vN)]
- to_replace_res = [r'\s*(\.)\s*', r'e']
- values = [r'\1\1', r'crap']
- res = dfobj.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['crap', 'f', 'g',
- 'h'],
- 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- to_replace_res = [r'\s*(\.)\s*', r'e']
- values = [r'\1\1', r'crap']
- res = dfobj.replace(value=values, regex=to_replace_res)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['crap', 'f', 'g',
- 'h'],
- 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- def test_regex_replace_list_obj_inplace(self):
- # same as above with inplace=True
- # lists of regexes and values
- obj = {'a': list('ab..'), 'b': list('efgh'), 'c': list('helo')}
- dfobj = DataFrame(obj)
- # lists of regexes and values
- # list of [re1, re2, ..., reN] -> [v1, v2, ..., vN]
- to_replace_res = [r'\s*\.\s*', r'e|f|g']
- values = [np.nan, 'crap']
- res = dfobj.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': ['a', 'b', np.nan, np.nan], 'b': ['crap'] * 3 +
- ['h'], 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [re1, re2, .., reN]
- to_replace_res = [r'\s*(\.)\s*', r'(e|f|g)']
- values = [r'\1\1', r'\1_crap']
- res = dfobj.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['e_crap',
- 'f_crap',
- 'g_crap', 'h'],
- 'c': ['h', 'e_crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [(re1 or v1), (re2 or v2), ..., (reN
- # or vN)]
- to_replace_res = [r'\s*(\.)\s*', r'e']
- values = [r'\1\1', r'crap']
- res = dfobj.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['crap', 'f', 'g',
- 'h'],
- 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- to_replace_res = [r'\s*(\.)\s*', r'e']
- values = [r'\1\1', r'crap']
- res = dfobj.copy()
- res.replace(value=values, regex=to_replace_res, inplace=True)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['crap', 'f', 'g',
- 'h'],
- 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- def test_regex_replace_list_mixed(self):
- # mixed frame to make sure this doesn't break things
- mix = {'a': lrange(4), 'b': list('ab..')}
- dfmix = DataFrame(mix)
- # lists of regexes and values
- # list of [re1, re2, ..., reN] -> [v1, v2, ..., vN]
- to_replace_res = [r'\s*\.\s*', r'a']
- values = [np.nan, 'crap']
- mix2 = {'a': lrange(4), 'b': list('ab..'), 'c': list('halo')}
- dfmix2 = DataFrame(mix2)
- res = dfmix2.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': mix2['a'], 'b': ['crap', 'b', np.nan, np.nan],
- 'c': ['h', 'crap', 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [re1, re2, .., reN]
- to_replace_res = [r'\s*(\.)\s*', r'(a|b)']
- values = [r'\1\1', r'\1_crap']
- res = dfmix.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a_crap', 'b_crap', '..',
- '..']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [(re1 or v1), (re2 or v2), ..., (reN
- # or vN)]
- to_replace_res = [r'\s*(\.)\s*', r'a', r'(b)']
- values = [r'\1\1', r'crap', r'\1_crap']
- res = dfmix.replace(to_replace_res, values, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['crap', 'b_crap', '..', '..']})
- assert_frame_equal(res, expec)
- to_replace_res = [r'\s*(\.)\s*', r'a', r'(b)']
- values = [r'\1\1', r'crap', r'\1_crap']
- res = dfmix.replace(regex=to_replace_res, value=values)
- expec = DataFrame({'a': mix['a'], 'b': ['crap', 'b_crap', '..', '..']})
- assert_frame_equal(res, expec)
- def test_regex_replace_list_mixed_inplace(self):
- mix = {'a': lrange(4), 'b': list('ab..')}
- dfmix = DataFrame(mix)
- # the same inplace
- # lists of regexes and values
- # list of [re1, re2, ..., reN] -> [v1, v2, ..., vN]
- to_replace_res = [r'\s*\.\s*', r'a']
- values = [np.nan, 'crap']
- res = dfmix.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['crap', 'b', np.nan, np.nan]})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [re1, re2, .., reN]
- to_replace_res = [r'\s*(\.)\s*', r'(a|b)']
- values = [r'\1\1', r'\1_crap']
- res = dfmix.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a_crap', 'b_crap', '..',
- '..']})
- assert_frame_equal(res, expec)
- # list of [re1, re2, ..., reN] -> [(re1 or v1), (re2 or v2), ..., (reN
- # or vN)]
- to_replace_res = [r'\s*(\.)\s*', r'a', r'(b)']
- values = [r'\1\1', r'crap', r'\1_crap']
- res = dfmix.copy()
- res.replace(to_replace_res, values, inplace=True, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['crap', 'b_crap', '..', '..']})
- assert_frame_equal(res, expec)
- to_replace_res = [r'\s*(\.)\s*', r'a', r'(b)']
- values = [r'\1\1', r'crap', r'\1_crap']
- res = dfmix.copy()
- res.replace(regex=to_replace_res, value=values, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['crap', 'b_crap', '..', '..']})
- assert_frame_equal(res, expec)
- def test_regex_replace_dict_mixed(self):
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- dfmix = DataFrame(mix)
- # dicts
- # single dict {re1: v1}, search the whole frame
- # need test for this...
- # list of dicts {re1: v1, re2: v2, ..., re3: v3}, search the whole
- # frame
- res = dfmix.replace({'b': r'\s*\.\s*'}, {'b': np.nan}, regex=True)
- res2 = dfmix.copy()
- res2.replace({'b': r'\s*\.\s*'}, {'b': np.nan},
- inplace=True, regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', np.nan, np.nan], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- # list of dicts {re1: re11, re2: re12, ..., reN: re1N}, search the
- # whole frame
- res = dfmix.replace({'b': r'\s*(\.)\s*'}, {'b': r'\1ty'}, regex=True)
- res2 = dfmix.copy()
- res2.replace({'b': r'\s*(\.)\s*'}, {'b': r'\1ty'}, inplace=True,
- regex=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', '.ty', '.ty'], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- res = dfmix.replace(regex={'b': r'\s*(\.)\s*'}, value={'b': r'\1ty'})
- res2 = dfmix.copy()
- res2.replace(regex={'b': r'\s*(\.)\s*'}, value={'b': r'\1ty'},
- inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', '.ty', '.ty'], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- # scalar -> dict
- # to_replace regex, {value: value}
- expec = DataFrame({'a': mix['a'], 'b': [np.nan, 'b', '.', '.'], 'c':
- mix['c']})
- res = dfmix.replace('a', {'b': np.nan}, regex=True)
- res2 = dfmix.copy()
- res2.replace('a', {'b': np.nan}, regex=True, inplace=True)
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- res = dfmix.replace('a', {'b': np.nan}, regex=True)
- res2 = dfmix.copy()
- res2.replace(regex='a', value={'b': np.nan}, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': [np.nan, 'b', '.', '.'], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- def test_regex_replace_dict_nested(self):
- # nested dicts will not work until this is implemented for Series
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- dfmix = DataFrame(mix)
- res = dfmix.replace({'b': {r'\s*\.\s*': np.nan}}, regex=True)
- res2 = dfmix.copy()
- res4 = dfmix.copy()
- res2.replace({'b': {r'\s*\.\s*': np.nan}}, inplace=True, regex=True)
- res3 = dfmix.replace(regex={'b': {r'\s*\.\s*': np.nan}})
- res4.replace(regex={'b': {r'\s*\.\s*': np.nan}}, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', np.nan, np.nan], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- assert_frame_equal(res3, expec)
- assert_frame_equal(res4, expec)
- def test_regex_replace_dict_nested_non_first_character(self):
- # GH 25259
- df = pd.DataFrame({'first': ['abc', 'bca', 'cab']})
- expected = pd.DataFrame({'first': ['.bc', 'bc.', 'c.b']})
- result = df.replace({'a': '.'}, regex=True)
- assert_frame_equal(result, expected)
- def test_regex_replace_dict_nested_gh4115(self):
- df = pd.DataFrame({'Type': ['Q', 'T', 'Q', 'Q', 'T'], 'tmp': 2})
- expected = DataFrame({'Type': [0, 1, 0, 0, 1], 'tmp': 2})
- result = df.replace({'Type': {'Q': 0, 'T': 1}})
- assert_frame_equal(result, expected)
- def test_regex_replace_list_to_scalar(self):
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- expec = DataFrame({'a': mix['a'], 'b': np.array([np.nan] * 4),
- 'c': [np.nan, np.nan, np.nan, 'd']})
- res = df.replace([r'\s*\.\s*', 'a|b'], np.nan, regex=True)
- res2 = df.copy()
- res3 = df.copy()
- res2.replace([r'\s*\.\s*', 'a|b'], np.nan, regex=True, inplace=True)
- res3.replace(regex=[r'\s*\.\s*', 'a|b'], value=np.nan, inplace=True)
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- assert_frame_equal(res3, expec)
- def test_regex_replace_str_to_numeric(self):
- # what happens when you try to replace a numeric value with a regex?
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- res = df.replace(r'\s*\.\s*', 0, regex=True)
- res2 = df.copy()
- res2.replace(r'\s*\.\s*', 0, inplace=True, regex=True)
- res3 = df.copy()
- res3.replace(regex=r'\s*\.\s*', value=0, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', 0, 0], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- assert_frame_equal(res3, expec)
- def test_regex_replace_regex_list_to_numeric(self):
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- res = df.replace([r'\s*\.\s*', 'b'], 0, regex=True)
- res2 = df.copy()
- res2.replace([r'\s*\.\s*', 'b'], 0, regex=True, inplace=True)
- res3 = df.copy()
- res3.replace(regex=[r'\s*\.\s*', 'b'], value=0, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 0, 0, 0], 'c': ['a', 0,
- np.nan,
- 'd']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- assert_frame_equal(res3, expec)
- def test_regex_replace_series_of_regexes(self):
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- s1 = Series({'b': r'\s*\.\s*'})
- s2 = Series({'b': np.nan})
- res = df.replace(s1, s2, regex=True)
- res2 = df.copy()
- res2.replace(s1, s2, inplace=True, regex=True)
- res3 = df.copy()
- res3.replace(regex=s1, value=s2, inplace=True)
- expec = DataFrame({'a': mix['a'], 'b': ['a', 'b', np.nan, np.nan], 'c':
- mix['c']})
- assert_frame_equal(res, expec)
- assert_frame_equal(res2, expec)
- assert_frame_equal(res3, expec)
- def test_regex_replace_numeric_to_object_conversion(self):
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- expec = DataFrame({'a': ['a', 1, 2, 3], 'b': mix['b'], 'c': mix['c']})
- res = df.replace(0, 'a')
- assert_frame_equal(res, expec)
- assert res.a.dtype == np.object_
- @pytest.mark.parametrize('metachar', ['[]', '()', r'\d', r'\w', r'\s'])
- def test_replace_regex_metachar(self, metachar):
- df = DataFrame({'a': [metachar, 'else']})
- result = df.replace({'a': {metachar: 'paren'}})
- expected = DataFrame({'a': ['paren', 'else']})
- assert_frame_equal(result, expected)
- def test_replace(self):
- self.tsframe['A'][:5] = np.nan
- self.tsframe['A'][-5:] = np.nan
- zero_filled = self.tsframe.replace(np.nan, -1e8)
- assert_frame_equal(zero_filled, self.tsframe.fillna(-1e8))
- assert_frame_equal(zero_filled.replace(-1e8, np.nan), self.tsframe)
- self.tsframe['A'][:5] = np.nan
- self.tsframe['A'][-5:] = np.nan
- self.tsframe['B'][:5] = -1e8
- # empty
- df = DataFrame(index=['a', 'b'])
- assert_frame_equal(df, df.replace(5, 7))
- # GH 11698
- # test for mixed data types.
- df = pd.DataFrame([('-', pd.to_datetime('20150101')),
- ('a', pd.to_datetime('20150102'))])
- df1 = df.replace('-', np.nan)
- expected_df = pd.DataFrame([(np.nan, pd.to_datetime('20150101')),
- ('a', pd.to_datetime('20150102'))])
- assert_frame_equal(df1, expected_df)
- def test_replace_list(self):
- obj = {'a': list('ab..'), 'b': list('efgh'), 'c': list('helo')}
- dfobj = DataFrame(obj)
- # lists of regexes and values
- # list of [v1, v2, ..., vN] -> [v1, v2, ..., vN]
- to_replace_res = [r'.', r'e']
- values = [np.nan, 'crap']
- res = dfobj.replace(to_replace_res, values)
- expec = DataFrame({'a': ['a', 'b', np.nan, np.nan],
- 'b': ['crap', 'f', 'g', 'h'], 'c': ['h', 'crap',
- 'l', 'o']})
- assert_frame_equal(res, expec)
- # list of [v1, v2, ..., vN] -> [v1, v2, .., vN]
- to_replace_res = [r'.', r'f']
- values = [r'..', r'crap']
- res = dfobj.replace(to_replace_res, values)
- expec = DataFrame({'a': ['a', 'b', '..', '..'], 'b': ['e', 'crap', 'g',
- 'h'],
- 'c': ['h', 'e', 'l', 'o']})
- assert_frame_equal(res, expec)
- def test_replace_with_empty_list(self):
- # GH 21977
- s = pd.Series([['a', 'b'], [], np.nan, [1]])
- df = pd.DataFrame({'col': s})
- expected = df
- result = df.replace([], np.nan)
- assert_frame_equal(result, expected)
- # GH 19266
- with pytest.raises(ValueError, match="cannot assign mismatch"):
- df.replace({np.nan: []})
- with pytest.raises(ValueError, match="cannot assign mismatch"):
- df.replace({np.nan: ['dummy', 'alt']})
- def test_replace_series_dict(self):
- # from GH 3064
- df = DataFrame({'zero': {'a': 0.0, 'b': 1}, 'one': {'a': 2.0, 'b': 0}})
- result = df.replace(0, {'zero': 0.5, 'one': 1.0})
- expected = DataFrame(
- {'zero': {'a': 0.5, 'b': 1}, 'one': {'a': 2.0, 'b': 1.0}})
- assert_frame_equal(result, expected)
- result = df.replace(0, df.mean())
- assert_frame_equal(result, expected)
- # series to series/dict
- df = DataFrame({'zero': {'a': 0.0, 'b': 1}, 'one': {'a': 2.0, 'b': 0}})
- s = Series({'zero': 0.0, 'one': 2.0})
- result = df.replace(s, {'zero': 0.5, 'one': 1.0})
- expected = DataFrame(
- {'zero': {'a': 0.5, 'b': 1}, 'one': {'a': 1.0, 'b': 0.0}})
- assert_frame_equal(result, expected)
- result = df.replace(s, df.mean())
- assert_frame_equal(result, expected)
- def test_replace_convert(self):
- # gh 3907
- df = DataFrame([['foo', 'bar', 'bah'], ['bar', 'foo', 'bah']])
- m = {'foo': 1, 'bar': 2, 'bah': 3}
- rep = df.replace(m)
- expec = Series([np.int64] * 3)
- res = rep.dtypes
- assert_series_equal(expec, res)
- def test_replace_mixed(self):
- mf = self.mixed_frame
- mf.iloc[5:20, mf.columns.get_loc('foo')] = np.nan
- mf.iloc[-10:, mf.columns.get_loc('A')] = np.nan
- result = self.mixed_frame.replace(np.nan, -18)
- expected = self.mixed_frame.fillna(value=-18)
- assert_frame_equal(result, expected)
- assert_frame_equal(result.replace(-18, np.nan), self.mixed_frame)
- result = self.mixed_frame.replace(np.nan, -1e8)
- expected = self.mixed_frame.fillna(value=-1e8)
- assert_frame_equal(result, expected)
- assert_frame_equal(result.replace(-1e8, np.nan), self.mixed_frame)
- # int block upcasting
- df = DataFrame({'A': Series([1.0, 2.0], dtype='float64'),
- 'B': Series([0, 1], dtype='int64')})
- expected = DataFrame({'A': Series([1.0, 2.0], dtype='float64'),
- 'B': Series([0.5, 1], dtype='float64')})
- result = df.replace(0, 0.5)
- assert_frame_equal(result, expected)
- df.replace(0, 0.5, inplace=True)
- assert_frame_equal(df, expected)
- # int block splitting
- df = DataFrame({'A': Series([1.0, 2.0], dtype='float64'),
- 'B': Series([0, 1], dtype='int64'),
- 'C': Series([1, 2], dtype='int64')})
- expected = DataFrame({'A': Series([1.0, 2.0], dtype='float64'),
- 'B': Series([0.5, 1], dtype='float64'),
- 'C': Series([1, 2], dtype='int64')})
- result = df.replace(0, 0.5)
- assert_frame_equal(result, expected)
- # to object block upcasting
- df = DataFrame({'A': Series([1.0, 2.0], dtype='float64'),
- 'B': Series([0, 1], dtype='int64')})
- expected = DataFrame({'A': Series([1, 'foo'], dtype='object'),
- 'B': Series([0, 1], dtype='int64')})
- result = df.replace(2, 'foo')
- assert_frame_equal(result, expected)
- expected = DataFrame({'A': Series(['foo', 'bar'], dtype='object'),
- 'B': Series([0, 'foo'], dtype='object')})
- result = df.replace([1, 2], ['foo', 'bar'])
- assert_frame_equal(result, expected)
- # test case from
- df = DataFrame({'A': Series([3, 0], dtype='int64'),
- 'B': Series([0, 3], dtype='int64')})
- result = df.replace(3, df.mean().to_dict())
- expected = df.copy().astype('float64')
- m = df.mean()
- expected.iloc[0, 0] = m[0]
- expected.iloc[1, 1] = m[1]
- assert_frame_equal(result, expected)
- def test_replace_simple_nested_dict(self):
- df = DataFrame({'col': range(1, 5)})
- expected = DataFrame({'col': ['a', 2, 3, 'b']})
- result = df.replace({'col': {1: 'a', 4: 'b'}})
- assert_frame_equal(expected, result)
- # in this case, should be the same as the not nested version
- result = df.replace({1: 'a', 4: 'b'})
- assert_frame_equal(expected, result)
- def test_replace_simple_nested_dict_with_nonexistent_value(self):
- df = DataFrame({'col': range(1, 5)})
- expected = DataFrame({'col': ['a', 2, 3, 'b']})
- result = df.replace({-1: '-', 1: 'a', 4: 'b'})
- assert_frame_equal(expected, result)
- result = df.replace({'col': {-1: '-', 1: 'a', 4: 'b'}})
- assert_frame_equal(expected, result)
- def test_replace_value_is_none(self):
- orig_value = self.tsframe.iloc[0, 0]
- orig2 = self.tsframe.iloc[1, 0]
- self.tsframe.iloc[0, 0] = np.nan
- self.tsframe.iloc[1, 0] = 1
- result = self.tsframe.replace(to_replace={np.nan: 0})
- expected = self.tsframe.T.replace(to_replace={np.nan: 0}).T
- assert_frame_equal(result, expected)
- result = self.tsframe.replace(to_replace={np.nan: 0, 1: -1e8})
- tsframe = self.tsframe.copy()
- tsframe.iloc[0, 0] = 0
- tsframe.iloc[1, 0] = -1e8
- expected = tsframe
- assert_frame_equal(expected, result)
- self.tsframe.iloc[0, 0] = orig_value
- self.tsframe.iloc[1, 0] = orig2
- def test_replace_for_new_dtypes(self):
- # dtypes
- tsframe = self.tsframe.copy().astype(np.float32)
- tsframe['A'][:5] = np.nan
- tsframe['A'][-5:] = np.nan
- zero_filled = tsframe.replace(np.nan, -1e8)
- assert_frame_equal(zero_filled, tsframe.fillna(-1e8))
- assert_frame_equal(zero_filled.replace(-1e8, np.nan), tsframe)
- tsframe['A'][:5] = np.nan
- tsframe['A'][-5:] = np.nan
- tsframe['B'][:5] = -1e8
- b = tsframe['B']
- b[b == -1e8] = np.nan
- tsframe['B'] = b
- result = tsframe.fillna(method='bfill')
- assert_frame_equal(result, tsframe.fillna(method='bfill'))
- @pytest.mark.parametrize('frame, to_replace, value, expected', [
- (DataFrame({'ints': [1, 2, 3]}), 1, 0,
- DataFrame({'ints': [0, 2, 3]})),
- (DataFrame({'ints': [1, 2, 3]}, dtype=np.int32), 1, 0,
- DataFrame({'ints': [0, 2, 3]}, dtype=np.int32)),
- (DataFrame({'ints': [1, 2, 3]}, dtype=np.int16), 1, 0,
- DataFrame({'ints': [0, 2, 3]}, dtype=np.int16)),
- (DataFrame({'bools': [True, False, True]}), False, True,
- DataFrame({'bools': [True, True, True]})),
- (DataFrame({'complex': [1j, 2j, 3j]}), 1j, 0,
- DataFrame({'complex': [0j, 2j, 3j]})),
- (DataFrame({'datetime64': Index([datetime(2018, 5, 28),
- datetime(2018, 7, 28),
- datetime(2018, 5, 28)])}),
- datetime(2018, 5, 28), datetime(2018, 7, 28),
- DataFrame({'datetime64': Index([datetime(2018, 7, 28)] * 3)})),
- # GH 20380
- (DataFrame({'dt': [datetime(3017, 12, 20)], 'str': ['foo']}),
- 'foo', 'bar',
- DataFrame({'dt': [datetime(3017, 12, 20)], 'str': ['bar']})),
- (DataFrame({'A': date_range('20130101', periods=3, tz='US/Eastern'),
- 'B': [0, np.nan, 2]}),
- Timestamp('20130102', tz='US/Eastern'),
- Timestamp('20130104', tz='US/Eastern'),
- DataFrame({'A': [Timestamp('20130101', tz='US/Eastern'),
- Timestamp('20130104', tz='US/Eastern'),
- Timestamp('20130103', tz='US/Eastern')],
- 'B': [0, np.nan, 2]}))
- ])
- def test_replace_dtypes(self, frame, to_replace, value, expected):
- result = getattr(frame, 'replace')(to_replace, value)
- assert_frame_equal(result, expected)
- def test_replace_input_formats_listlike(self):
- # both dicts
- to_rep = {'A': np.nan, 'B': 0, 'C': ''}
- values = {'A': 0, 'B': -1, 'C': 'missing'}
- df = DataFrame({'A': [np.nan, 0, np.inf], 'B': [0, 2, 5],
- 'C': ['', 'asdf', 'fd']})
- filled = df.replace(to_rep, values)
- expected = {k: v.replace(to_rep[k], values[k])
- for k, v in compat.iteritems(df)}
- assert_frame_equal(filled, DataFrame(expected))
- result = df.replace([0, 2, 5], [5, 2, 0])
- expected = DataFrame({'A': [np.nan, 5, np.inf], 'B': [5, 2, 0],
- 'C': ['', 'asdf', 'fd']})
- assert_frame_equal(result, expected)
- # scalar to dict
- values = {'A': 0, 'B': -1, 'C': 'missing'}
- df = DataFrame({'A': [np.nan, 0, np.nan], 'B': [0, 2, 5],
- 'C': ['', 'asdf', 'fd']})
- filled = df.replace(np.nan, values)
- expected = {k: v.replace(np.nan, values[k])
- for k, v in compat.iteritems(df)}
- assert_frame_equal(filled, DataFrame(expected))
- # list to list
- to_rep = [np.nan, 0, '']
- values = [-2, -1, 'missing']
- result = df.replace(to_rep, values)
- expected = df.copy()
- for i in range(len(to_rep)):
- expected.replace(to_rep[i], values[i], inplace=True)
- assert_frame_equal(result, expected)
- msg = r"Replacement lists must match in length\. Expecting 3 got 2"
- with pytest.raises(ValueError, match=msg):
- df.replace(to_rep, values[1:])
- def test_replace_input_formats_scalar(self):
- df = DataFrame({'A': [np.nan, 0, np.inf], 'B': [0, 2, 5],
- 'C': ['', 'asdf', 'fd']})
- # dict to scalar
- to_rep = {'A': np.nan, 'B': 0, 'C': ''}
- filled = df.replace(to_rep, 0)
- expected = {k: v.replace(to_rep[k], 0)
- for k, v in compat.iteritems(df)}
- assert_frame_equal(filled, DataFrame(expected))
- msg = "value argument must be scalar, dict, or Series"
- with pytest.raises(TypeError, match=msg):
- df.replace(to_rep, [np.nan, 0, ''])
- # list to scalar
- to_rep = [np.nan, 0, '']
- result = df.replace(to_rep, -1)
- expected = df.copy()
- for i in range(len(to_rep)):
- expected.replace(to_rep[i], -1, inplace=True)
- assert_frame_equal(result, expected)
- def test_replace_limit(self):
- pass
- def test_replace_dict_no_regex(self):
- answer = Series({0: 'Strongly Agree', 1: 'Agree', 2: 'Neutral', 3:
- 'Disagree', 4: 'Strongly Disagree'})
- weights = {'Agree': 4, 'Disagree': 2, 'Neutral': 3, 'Strongly Agree':
- 5, 'Strongly Disagree': 1}
- expected = Series({0: 5, 1: 4, 2: 3, 3: 2, 4: 1})
- result = answer.replace(weights)
- assert_series_equal(result, expected)
- def test_replace_series_no_regex(self):
- answer = Series({0: 'Strongly Agree', 1: 'Agree', 2: 'Neutral', 3:
- 'Disagree', 4: 'Strongly Disagree'})
- weights = Series({'Agree': 4, 'Disagree': 2, 'Neutral': 3,
- 'Strongly Agree': 5, 'Strongly Disagree': 1})
- expected = Series({0: 5, 1: 4, 2: 3, 3: 2, 4: 1})
- result = answer.replace(weights)
- assert_series_equal(result, expected)
- def test_replace_dict_tuple_list_ordering_remains_the_same(self):
- df = DataFrame(dict(A=[np.nan, 1]))
- res1 = df.replace(to_replace={np.nan: 0, 1: -1e8})
- res2 = df.replace(to_replace=(1, np.nan), value=[-1e8, 0])
- res3 = df.replace(to_replace=[1, np.nan], value=[-1e8, 0])
- expected = DataFrame({'A': [0, -1e8]})
- assert_frame_equal(res1, res2)
- assert_frame_equal(res2, res3)
- assert_frame_equal(res3, expected)
- def test_replace_doesnt_replace_without_regex(self):
- raw = """fol T_opp T_Dir T_Enh
- 0 1 0 0 vo
- 1 2 vr 0 0
- 2 2 0 0 0
- 3 3 0 bt 0"""
- df = pd.read_csv(StringIO(raw), sep=r'\s+')
- res = df.replace({r'\D': 1})
- assert_frame_equal(df, res)
- def test_replace_bool_with_string(self):
- df = DataFrame({'a': [True, False], 'b': list('ab')})
- result = df.replace(True, 'a')
- expected = DataFrame({'a': ['a', False], 'b': df.b})
- assert_frame_equal(result, expected)
- def test_replace_pure_bool_with_string_no_op(self):
- df = DataFrame(np.random.rand(2, 2) > 0.5)
- result = df.replace('asdf', 'fdsa')
- assert_frame_equal(df, result)
- def test_replace_bool_with_bool(self):
- df = DataFrame(np.random.rand(2, 2) > 0.5)
- result = df.replace(False, True)
- expected = DataFrame(np.ones((2, 2), dtype=bool))
- assert_frame_equal(result, expected)
- def test_replace_with_dict_with_bool_keys(self):
- df = DataFrame({0: [True, False], 1: [False, True]})
- with pytest.raises(TypeError, match='Cannot compare types .+'):
- df.replace({'asdf': 'asdb', True: 'yes'})
- def test_replace_truthy(self):
- df = DataFrame({'a': [True, True]})
- r = df.replace([np.inf, -np.inf], np.nan)
- e = df
- assert_frame_equal(r, e)
- def test_replace_int_to_int_chain(self):
- df = DataFrame({'a': lrange(1, 5)})
- with pytest.raises(ValueError, match="Replacement not allowed .+"):
- df.replace({'a': dict(zip(range(1, 5), range(2, 6)))})
- def test_replace_str_to_str_chain(self):
- a = np.arange(1, 5)
- astr = a.astype(str)
- bstr = np.arange(2, 6).astype(str)
- df = DataFrame({'a': astr})
- with pytest.raises(ValueError, match="Replacement not allowed .+"):
- df.replace({'a': dict(zip(astr, bstr))})
- def test_replace_swapping_bug(self):
- df = pd.DataFrame({'a': [True, False, True]})
- res = df.replace({'a': {True: 'Y', False: 'N'}})
- expect = pd.DataFrame({'a': ['Y', 'N', 'Y']})
- assert_frame_equal(res, expect)
- df = pd.DataFrame({'a': [0, 1, 0]})
- res = df.replace({'a': {0: 'Y', 1: 'N'}})
- expect = pd.DataFrame({'a': ['Y', 'N', 'Y']})
- assert_frame_equal(res, expect)
- def test_replace_period(self):
- d = {
- 'fname': {
- 'out_augmented_AUG_2011.json':
- pd.Period(year=2011, month=8, freq='M'),
- 'out_augmented_JAN_2011.json':
- pd.Period(year=2011, month=1, freq='M'),
- 'out_augmented_MAY_2012.json':
- pd.Period(year=2012, month=5, freq='M'),
- 'out_augmented_SUBSIDY_WEEK.json':
- pd.Period(year=2011, month=4, freq='M'),
- 'out_augmented_AUG_2012.json':
- pd.Period(year=2012, month=8, freq='M'),
- 'out_augmented_MAY_2011.json':
- pd.Period(year=2011, month=5, freq='M'),
- 'out_augmented_SEP_2013.json':
- pd.Period(year=2013, month=9, freq='M')}}
- df = pd.DataFrame(['out_augmented_AUG_2012.json',
- 'out_augmented_SEP_2013.json',
- 'out_augmented_SUBSIDY_WEEK.json',
- 'out_augmented_MAY_2012.json',
- 'out_augmented_MAY_2011.json',
- 'out_augmented_AUG_2011.json',
- 'out_augmented_JAN_2011.json'], columns=['fname'])
- assert set(df.fname.values) == set(d['fname'].keys())
- # We don't support converting object -> specialized EA in
- # replace yet.
- expected = DataFrame({'fname': [d['fname'][k]
- for k in df.fname.values]},
- dtype=object)
- result = df.replace(d)
- assert_frame_equal(result, expected)
- def test_replace_datetime(self):
- d = {'fname':
- {'out_augmented_AUG_2011.json': pd.Timestamp('2011-08'),
- 'out_augmented_JAN_2011.json': pd.Timestamp('2011-01'),
- 'out_augmented_MAY_2012.json': pd.Timestamp('2012-05'),
- 'out_augmented_SUBSIDY_WEEK.json': pd.Timestamp('2011-04'),
- 'out_augmented_AUG_2012.json': pd.Timestamp('2012-08'),
- 'out_augmented_MAY_2011.json': pd.Timestamp('2011-05'),
- 'out_augmented_SEP_2013.json': pd.Timestamp('2013-09')}}
- df = pd.DataFrame(['out_augmented_AUG_2012.json',
- 'out_augmented_SEP_2013.json',
- 'out_augmented_SUBSIDY_WEEK.json',
- 'out_augmented_MAY_2012.json',
- 'out_augmented_MAY_2011.json',
- 'out_augmented_AUG_2011.json',
- 'out_augmented_JAN_2011.json'], columns=['fname'])
- assert set(df.fname.values) == set(d['fname'].keys())
- expected = DataFrame({'fname': [d['fname'][k]
- for k in df.fname.values]})
- result = df.replace(d)
- assert_frame_equal(result, expected)
- def test_replace_datetimetz(self):
- # GH 11326
- # behaving poorly when presented with a datetime64[ns, tz]
- df = DataFrame({'A': date_range('20130101', periods=3,
- tz='US/Eastern'),
- 'B': [0, np.nan, 2]})
- result = df.replace(np.nan, 1)
- expected = DataFrame({'A': date_range('20130101', periods=3,
- tz='US/Eastern'),
- 'B': Series([0, 1, 2], dtype='float64')})
- assert_frame_equal(result, expected)
- result = df.fillna(1)
- assert_frame_equal(result, expected)
- result = df.replace(0, np.nan)
- expected = DataFrame({'A': date_range('20130101', periods=3,
- tz='US/Eastern'),
- 'B': [np.nan, np.nan, 2]})
- assert_frame_equal(result, expected)
- result = df.replace(Timestamp('20130102', tz='US/Eastern'),
- Timestamp('20130104', tz='US/Eastern'))
- expected = DataFrame({'A': [Timestamp('20130101', tz='US/Eastern'),
- Timestamp('20130104', tz='US/Eastern'),
- Timestamp('20130103', tz='US/Eastern')],
- 'B': [0, np.nan, 2]})
- assert_frame_equal(result, expected)
- result = df.copy()
- result.iloc[1, 0] = np.nan
- result = result.replace(
- {'A': pd.NaT}, Timestamp('20130104', tz='US/Eastern'))
- assert_frame_equal(result, expected)
- # coerce to object
- result = df.copy()
- result.iloc[1, 0] = np.nan
- result = result.replace(
- {'A': pd.NaT}, Timestamp('20130104', tz='US/Pacific'))
- expected = DataFrame({'A': [Timestamp('20130101', tz='US/Eastern'),
- Timestamp('20130104', tz='US/Pacific'),
- Timestamp('20130103', tz='US/Eastern')],
- 'B': [0, np.nan, 2]})
- assert_frame_equal(result, expected)
- result = df.copy()
- result.iloc[1, 0] = np.nan
- result = result.replace({'A': np.nan}, Timestamp('20130104'))
- expected = DataFrame({'A': [Timestamp('20130101', tz='US/Eastern'),
- Timestamp('20130104'),
- Timestamp('20130103', tz='US/Eastern')],
- 'B': [0, np.nan, 2]})
- assert_frame_equal(result, expected)
- def test_replace_with_empty_dictlike(self):
- # GH 15289
- mix = {'a': lrange(4), 'b': list('ab..'), 'c': ['a', 'b', np.nan, 'd']}
- df = DataFrame(mix)
- assert_frame_equal(df, df.replace({}))
- assert_frame_equal(df, df.replace(Series([])))
- assert_frame_equal(df, df.replace({'b': {}}))
- assert_frame_equal(df, df.replace(Series({'b': {}})))
- @pytest.mark.parametrize("to_replace, method, expected", [
- (0, 'bfill', {'A': [1, 1, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']}),
- (np.nan, 'bfill', {'A': [0, 1, 2],
- 'B': [5.0, 7.0, 7.0],
- 'C': ['a', 'b', 'c']}),
- ('d', 'ffill', {'A': [0, 1, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']}),
- ([0, 2], 'bfill', {'A': [1, 1, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']}),
- ([1, 2], 'pad', {'A': [0, 0, 0],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']}),
- ((1, 2), 'bfill', {'A': [0, 2, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']}),
- (['b', 'c'], 'ffill', {'A': [0, 1, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'a', 'a']}),
- ])
- def test_replace_method(self, to_replace, method, expected):
- # GH 19632
- df = DataFrame({'A': [0, 1, 2],
- 'B': [5, np.nan, 7],
- 'C': ['a', 'b', 'c']})
- result = df.replace(to_replace=to_replace, value=None, method=method)
- expected = DataFrame(expected)
- assert_frame_equal(result, expected)