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test_replace.py
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# coding=utf-8
# pylint: disable-msg=E1101,W0612
import pytest
import numpy as np
import pandas as pd
import pandas._libs.lib as lib
import pandas.util.testing as tm
from .common import TestData
class TestSeriesReplace(TestData):
def test_replace(self):
N = 100
ser = pd.Series(np.random.randn(N))
ser[0:4] = np.nan
ser[6:10] = 0
# replace list with a single value
ser.replace([np.nan], -1, inplace=True)
exp = ser.fillna(-1)
tm.assert_series_equal(ser, exp)
rs = ser.replace(0., np.nan)
ser[ser == 0.] = np.nan
tm.assert_series_equal(rs, ser)
ser = pd.Series(np.fabs(np.random.randn(N)), tm.makeDateIndex(N),
dtype=object)
ser[:5] = np.nan
ser[6:10] = 'foo'
ser[20:30] = 'bar'
# replace list with a single value
rs = ser.replace([np.nan, 'foo', 'bar'], -1)
assert (rs[:5] == -1).all()
assert (rs[6:10] == -1).all()
assert (rs[20:30] == -1).all()
assert (pd.isna(ser[:5])).all()
# replace with different values
rs = ser.replace({np.nan: -1, 'foo': -2, 'bar': -3})
assert (rs[:5] == -1).all()
assert (rs[6:10] == -2).all()
assert (rs[20:30] == -3).all()
assert (pd.isna(ser[:5])).all()
# replace with different values with 2 lists
rs2 = ser.replace([np.nan, 'foo', 'bar'], [-1, -2, -3])
tm.assert_series_equal(rs, rs2)
# replace inplace
ser.replace([np.nan, 'foo', 'bar'], -1, inplace=True)
assert (ser[:5] == -1).all()
assert (ser[6:10] == -1).all()
assert (ser[20:30] == -1).all()
ser = pd.Series([np.nan, 0, np.inf])
tm.assert_series_equal(ser.replace(np.nan, 0), ser.fillna(0))
ser = pd.Series([np.nan, 0, 'foo', 'bar', np.inf, None, lib.NaT])
tm.assert_series_equal(ser.replace(np.nan, 0), ser.fillna(0))
filled = ser.copy()
filled[4] = 0
tm.assert_series_equal(ser.replace(np.inf, 0), filled)
ser = pd.Series(self.ts.index)
tm.assert_series_equal(ser.replace(np.nan, 0), ser.fillna(0))
# malformed
pytest.raises(ValueError, ser.replace, [1, 2, 3], [np.nan, 0])
# make sure that we aren't just masking a TypeError because bools don't
# implement indexing
with tm.assert_raises_regex(TypeError, 'Cannot compare types .+'):
ser.replace([1, 2], [np.nan, 0])
ser = pd.Series([0, 1, 2, 3, 4])
result = ser.replace([0, 1, 2, 3, 4], [4, 3, 2, 1, 0])
tm.assert_series_equal(result, pd.Series([4, 3, 2, 1, 0]))
def test_replace_gh5319(self):
# API change from 0.12?
# GH 5319
ser = pd.Series([0, np.nan, 2, 3, 4])
expected = ser.ffill()
result = ser.replace([np.nan])
tm.assert_series_equal(result, expected)
ser = pd.Series([0, np.nan, 2, 3, 4])
expected = ser.ffill()
result = ser.replace(np.nan)
tm.assert_series_equal(result, expected)
# GH 5797
ser = pd.Series(pd.date_range('20130101', periods=5))
expected = ser.copy()
expected.loc[2] = pd.Timestamp('20120101')
result = ser.replace({pd.Timestamp('20130103'):
pd.Timestamp('20120101')})
tm.assert_series_equal(result, expected)
result = ser.replace(pd.Timestamp('20130103'),
pd.Timestamp('20120101'))
tm.assert_series_equal(result, expected)
# GH 11792: Test with replacing NaT in a list with tz data
ts = pd.Timestamp('2015/01/01', tz='UTC')
s = pd.Series([pd.NaT, pd.Timestamp('2015/01/01', tz='UTC')])
result = s.replace([np.nan, pd.NaT], pd.Timestamp.min)
expected = pd.Series([pd.Timestamp.min, ts], dtype=object)
tm.assert_series_equal(expected, result)
def test_replace_with_single_list(self):
ser = pd.Series([0, 1, 2, 3, 4])
result = ser.replace([1, 2, 3])
tm.assert_series_equal(result, pd.Series([0, 0, 0, 0, 4]))
s = ser.copy()
s.replace([1, 2, 3], inplace=True)
tm.assert_series_equal(s, pd.Series([0, 0, 0, 0, 4]))
# make sure things don't get corrupted when fillna call fails
s = ser.copy()
with pytest.raises(ValueError):
s.replace([1, 2, 3], inplace=True, method='crash_cymbal')
tm.assert_series_equal(s, ser)
def test_replace_with_empty_list(self):
# GH 21977
s = pd.Series([[1], [2, 3], [], np.nan, [4]])
expected = s
result = s.replace([], np.nan)
tm.assert_series_equal(result, expected)
# GH 19266
with tm.assert_raises_regex(ValueError, "cannot assign mismatch"):
s.replace({np.nan: []})
with tm.assert_raises_regex(ValueError, "cannot assign mismatch"):
s.replace({np.nan: ['dummy', 'alt']})
def test_replace_mixed_types(self):
s = pd.Series(np.arange(5), dtype='int64')
def check_replace(to_rep, val, expected):
sc = s.copy()
r = s.replace(to_rep, val)
sc.replace(to_rep, val, inplace=True)
tm.assert_series_equal(expected, r)
tm.assert_series_equal(expected, sc)
# MUST upcast to float
e = pd.Series([0., 1., 2., 3., 4.])
tr, v = [3], [3.0]
check_replace(tr, v, e)
# MUST upcast to float
e = pd.Series([0, 1, 2, 3.5, 4])
tr, v = [3], [3.5]
check_replace(tr, v, e)
# casts to object
e = pd.Series([0, 1, 2, 3.5, 'a'])
tr, v = [3, 4], [3.5, 'a']
check_replace(tr, v, e)
# again casts to object
e = pd.Series([0, 1, 2, 3.5, pd.Timestamp('20130101')])
tr, v = [3, 4], [3.5, pd.Timestamp('20130101')]
check_replace(tr, v, e)
# casts to object
e = pd.Series([0, 1, 2, 3.5, True], dtype='object')
tr, v = [3, 4], [3.5, True]
check_replace(tr, v, e)
# test an object with dates + floats + integers + strings
dr = pd.date_range('1/1/2001', '1/10/2001',
freq='D').to_series().reset_index(drop=True)
result = dr.astype(object).replace(
[dr[0], dr[1], dr[2]], [1.0, 2, 'a'])
expected = pd.Series([1.0, 2, 'a'] + dr[3:].tolist(), dtype=object)
tm.assert_series_equal(result, expected)
def test_replace_bool_with_string_no_op(self):
s = pd.Series([True, False, True])
result = s.replace('fun', 'in-the-sun')
tm.assert_series_equal(s, result)
def test_replace_bool_with_string(self):
# nonexistent elements
s = pd.Series([True, False, True])
result = s.replace(True, '2u')
expected = pd.Series(['2u', False, '2u'])
tm.assert_series_equal(expected, result)
def test_replace_bool_with_bool(self):
s = pd.Series([True, False, True])
result = s.replace(True, False)
expected = pd.Series([False] * len(s))
tm.assert_series_equal(expected, result)
def test_replace_with_dict_with_bool_keys(self):
s = pd.Series([True, False, True])
with tm.assert_raises_regex(TypeError, 'Cannot compare types .+'):
s.replace({'asdf': 'asdb', True: 'yes'})
def test_replace2(self):
N = 100
ser = pd.Series(np.fabs(np.random.randn(N)), tm.makeDateIndex(N),
dtype=object)
ser[:5] = np.nan
ser[6:10] = 'foo'
ser[20:30] = 'bar'
# replace list with a single value
rs = ser.replace([np.nan, 'foo', 'bar'], -1)
assert (rs[:5] == -1).all()
assert (rs[6:10] == -1).all()
assert (rs[20:30] == -1).all()
assert (pd.isna(ser[:5])).all()
# replace with different values
rs = ser.replace({np.nan: -1, 'foo': -2, 'bar': -3})
assert (rs[:5] == -1).all()
assert (rs[6:10] == -2).all()
assert (rs[20:30] == -3).all()
assert (pd.isna(ser[:5])).all()
# replace with different values with 2 lists
rs2 = ser.replace([np.nan, 'foo', 'bar'], [-1, -2, -3])
tm.assert_series_equal(rs, rs2)
# replace inplace
ser.replace([np.nan, 'foo', 'bar'], -1, inplace=True)
assert (ser[:5] == -1).all()
assert (ser[6:10] == -1).all()
assert (ser[20:30] == -1).all()
def test_replace_with_empty_dictlike(self):
# GH 15289
s = pd.Series(list('abcd'))
tm.assert_series_equal(s, s.replace(dict()))
tm.assert_series_equal(s, s.replace(pd.Series([])))
def test_replace_string_with_number(self):
# GH 15743
s = pd.Series([1, 2, 3])
result = s.replace('2', np.nan)
expected = pd.Series([1, 2, 3])
tm.assert_series_equal(expected, result)
def test_replace_replacer_equals_replacement(self):
# GH 20656
# make sure all replacers are matching against original values
s = pd.Series(['a', 'b'])
expected = pd.Series(['b', 'a'])
result = s.replace({'a': 'b', 'b': 'a'})
tm.assert_series_equal(expected, result)
def test_replace_unicode_with_number(self):
# GH 15743
s = pd.Series([1, 2, 3])
result = s.replace(u'2', np.nan)
expected = pd.Series([1, 2, 3])
tm.assert_series_equal(expected, result)
def test_replace_mixed_types_with_string(self):
# Testing mixed
s = pd.Series([1, 2, 3, '4', 4, 5])
result = s.replace([2, '4'], np.nan)
expected = pd.Series([1, np.nan, 3, np.nan, 4, 5])
tm.assert_series_equal(expected, result)