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test_pandasvalidation.py
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test_pandasvalidation.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
import warnings
import pytest
import numpy
import pandas
from pandas.util.testing import assert_series_equal, assert_frame_equal
from pandasvalidation import (
ValidationWarning,
_datetime_to_string,
_numeric_to_string,
_get_return_object,
mask_nonconvertible,
to_datetime,
to_numeric,
to_string,
validate_datetime,
validate_date,
validate_timestamp,
validate_numeric,
validate_string)
class TestReturnTypes():
strings = pandas.Series(['1', '1', 'ab\n', 'a b', 'Ab', 'AB', numpy.nan])
masks = [
pandas.Series([False, False, False, True, True, False, False]),
pandas.Series([True, True, False, True, True, False, True])]
def test_return_mask_series(self):
assert_series_equal(
_get_return_object(self.masks, self.strings, 'mask_series'),
pandas.Series([True, True, False, True, True, False, True]))
def test_return_mask_frame(self):
assert_frame_equal(
_get_return_object(self.masks, self.strings, 'mask_frame'),
pandas.concat(self.masks, axis='columns'))
def test_return_values(self):
assert_series_equal(
_get_return_object(self.masks, self.strings, 'values'),
pandas.Series([
numpy.nan, numpy.nan, 'ab\n', numpy.nan,
numpy.nan, 'AB', numpy.nan]))
def test_wrong_return_type(self):
with pytest.raises(ValueError):
_get_return_object(self.masks, self.strings, 'wrong return type')
class TestMaskNonconvertible():
mixed = pandas.Series([
1, 2.3, numpy.nan, 'abc', pandas.datetime(2014, 1, 7), '2014'])
inconvertible_numeric = pandas.Series(
[False, False, False, True, True, False])
inconvertible_exact_dates = pandas.Series(
[True, True, False, True, True, False])
inconvertible_inexact_dates = pandas.Series(
[True, True, False, True, False, False])
def test_numeric(self):
assert_series_equal(
mask_nonconvertible(self.mixed, 'numeric'),
self.inconvertible_numeric)
def test_datetime_exact_date(self):
assert_series_equal(
mask_nonconvertible(
self.mixed, 'datetime', datetime_format='%Y', exact_date=True),
self.inconvertible_exact_dates)
assert_series_equal(
mask_nonconvertible(
self.mixed, 'datetime', datetime_format='%Y',
exact_date=False), self.inconvertible_inexact_dates)
class TestToDatetime():
mixed = pandas.Series([
1, 2.3, numpy.nan,
'abc', pandas.datetime(2014, 1, 7), '2014'])
def test_exact(self):
assert (
to_datetime(self.mixed, format='%Y', exact=True).tolist() == [
pandas.NaT, pandas.NaT, pandas.NaT, pandas.NaT,
pandas.NaT, pandas.Timestamp('2014-01-01 00:00:00')])
assert (
to_datetime(self.mixed, format='%Y', exact=False).tolist() == [
pandas.NaT, pandas.NaT, pandas.NaT, pandas.NaT,
pandas.Timestamp('2014-01-01 00:00:00'),
pandas.Timestamp('2014-01-01 00:00:00')])
class TestToNumeric():
mixed = pandas.Series([
1, 2.3, numpy.nan, 'abc', pandas.datetime(2014, 1, 7), '2014'])
def test_conversion(self):
assert (
to_numeric(self.mixed).sum() == 2017.3)
pytest.warns(ValidationWarning, to_numeric, self.mixed)
class TestToString():
mixed = pandas.Series(
[1, 2.3, numpy.nan, 'abc', pandas.datetime(2014, 1, 7)])
numeric_as_strings = pandas.Series(
['1', '2.3', numpy.nan, 'abc', pandas.datetime(2014, 1, 7)])
datetimes_as_strings = pandas.Series(
[1, 2.3, numpy.nan, 'abc', '2014-01-07'])
all_values_as_strings = pandas.Series(
['1', '2.3', numpy.nan, 'abc', '2014-01-07'])
def test_numeric_to_string(self):
assert_series_equal(
_numeric_to_string(self.mixed), self.numeric_as_strings)
def test_datetime_to_string(self):
assert_series_equal(
_datetime_to_string(self.mixed, format='%Y-%m-%d'),
self.datetimes_as_strings)
def test_to_string(self):
assert_series_equal(
to_string(
self.mixed, float_format='%g', datetime_format='%Y-%m-%d'),
self.all_values_as_strings)
class TestValidateDatetime():
dates_as_strings = pandas.Series([
'2014-01-07', '2014-01-07', '2014-02-28', numpy.nan])
dates = pandas.Series([
datetime.datetime(2014, 1, 7), datetime.datetime(2014, 1, 7),
datetime.datetime(2014, 2, 28), numpy.nan])
def test_validation(self):
assert_series_equal(
validate_datetime(self.dates_as_strings, return_type='values'),
validate_datetime(self.dates, return_type='values'))
pytest.warns(
ValidationWarning, validate_datetime, self.dates, nullable=False)
pytest.warns(
ValidationWarning, validate_datetime, self.dates, unique=True)
pytest.warns(
ValidationWarning, validate_datetime, self.dates,
min_datetime='2014-01-08')
pytest.warns(
ValidationWarning, validate_datetime, self.dates,
max_datetime='2014-01-08')
class TestValidateDate():
dates = pandas.Series([
datetime.datetime(2014, 1, 7),
datetime.datetime(2014, 1, 7),
datetime.datetime(2014, 2, 28),
pandas.NaT])
def test_validation(self):
assert_series_equal(
validate_date(self.dates, return_type='values'),
self.dates)
pytest.warns(
ValidationWarning, validate_date, self.dates, nullable=False)
pytest.warns(
ValidationWarning, validate_date, self.dates, unique=True)
pytest.warns(
ValidationWarning, validate_date, self.dates,
min_date=datetime.date(2014, 1, 8))
pytest.warns(
ValidationWarning, validate_date, self.dates,
max_date=datetime.date(2014, 1, 8))
class TestValidateTimestamp():
timestamps = pandas.Series([
pandas.Timestamp(2014, 1, 7, 12, 0, 5),
pandas.Timestamp(2014, 1, 7, 12, 0, 5),
pandas.Timestamp(2014, 2, 28, 0, 0, 0),
pandas.NaT])
def test_validation(self):
assert_series_equal(
validate_timestamp(self.timestamps, return_type='values'),
self.timestamps)
pytest.warns(
ValidationWarning, validate_timestamp, self.timestamps,
nullable=False)
pytest.warns(
ValidationWarning, validate_timestamp, self.timestamps,
unique=True)
pytest.warns(
ValidationWarning, validate_timestamp, self.timestamps,
min_timestamp=pandas.Timestamp(2014, 1, 8))
pytest.warns(
ValidationWarning, validate_timestamp, self.timestamps,
max_timestamp=pandas.Timestamp(2014, 1, 8))
class TestValidateNumber():
numeric_with_string = pandas.Series([-1, -1, 2.3, '1'])
numeric = pandas.Series([-1, -1, 2.3, numpy.nan])
def test_validation(self):
assert_series_equal(
validate_numeric(self.numeric_with_string, return_type='values'),
self.numeric)
pytest.warns(
ValidationWarning, validate_numeric, self.numeric, nullable=False)
pytest.warns(
ValidationWarning, validate_numeric, self.numeric, unique=True)
pytest.warns(
ValidationWarning, validate_numeric, self.numeric, integer=True)
pytest.warns(
ValidationWarning, validate_numeric, self.numeric, min_value=0)
pytest.warns(
ValidationWarning, validate_numeric, self.numeric, max_value=0)
class TestValidateString():
mixed = pandas.Series(['ab\n', 'a b', 'Ab', 'Ab', 'AB', 1, numpy.nan])
strings = pandas.Series(
['ab\n', 'a b', 'Ab', 'Ab', 'AB', numpy.nan, numpy.nan])
def test_validation(self):
assert_series_equal(
validate_string(self.mixed, return_type='values'),
self.strings)
pytest.warns(
ValidationWarning, validate_string, self.strings, nullable=False)
pytest.warns(
ValidationWarning, validate_string, self.strings, unique=True)
pytest.warns(
ValidationWarning, validate_string, self.strings, min_length=3)
pytest.warns(
ValidationWarning, validate_string, self.strings, max_length=2)
pytest.warns(
ValidationWarning, validate_string, self.strings[3:], case='lower')
pytest.warns(
ValidationWarning, validate_string, self.strings[3:], case='upper')
pytest.warns(
ValidationWarning, validate_string, self.strings[3:], case='title')
pytest.warns(
ValidationWarning, validate_string, self.strings, newlines=False)
pytest.warns(
ValidationWarning, validate_string, self.strings,
trailing_whitespace=False)
pytest.warns(
ValidationWarning, validate_string, self.strings, whitespace=False)
pytest.warns(
ValidationWarning, validate_string, self.strings,
matching_regex=r'\d')
pytest.warns(
ValidationWarning, validate_string, self.strings,
non_matching_regex=r'[\d\s\w]')
pytest.warns(
ValidationWarning, validate_string, self.strings,
whitelist=self.strings[:4])
pytest.warns(
ValidationWarning, validate_string, self.strings,
blacklist=['a', 'Ab'])