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test_dataFrame.py
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test_dataFrame.py
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from unittest import TestCase
from babypandas import DataFrame, to_panda_df
import numpy as np
import pandas.util.testing as pdt
def assert_frame_equal(left, right):
"""
The pandas testing utilities have unfortunately decided to enforce instance class.
Rather than rewriting the testing utilities we just convert babypandas objects to pandas objects
:param left: babypandas dataframe
:param right: babypandas dataframe
:return: None
"""
pdt.assert_frame_equal(to_panda_df(left), to_panda_df(right))
class TestDataFrame(TestCase):
def setUp(self):
self.df = DataFrame([0, 1, 2, 3])
def test_head(self):
self.df.head()
self.df.head(4)
def test___getitem__(self):
self.df[0]
def test_tail(self):
self.df.tail()
self.df.tail(2)
def test_columns(self):
cols = (
DataFrame([[0, 4], [1, 5], [2, 6], [3, 7]], columns=['first', 'second'])
.columns
)
self.assertItemsEqual(cols, ['first', 'second'])
def test_column_indexing(self):
self.df.columns[0]
def test_column_slicing(self):
self.df.columns[:1]
def test_index(self):
self.assertItemsEqual(self.df.index, [0, 1, 2, 3])
def test_sort_index_ascending(self):
assert_frame_equal(
self.df.sort_index(ascending=True),
DataFrame([0, 1, 2, 3])
)
def test_sort_index_descending(self):
assert_frame_equal(
self.df.sort_index(ascending=False),
DataFrame([3, 2, 1, 0], index=[3, 2, 1, 0])
)
def test_sort_values_ascending(self):
assert_frame_equal(
self.df.sort_values(0, ascending=True),
DataFrame([0, 1, 2, 3])
)
def test_sort_values_descending(self):
assert_frame_equal(
self.df.sort_values(0, ascending=False),
DataFrame([3, 2, 1, 0], index=[3, 2, 1, 0])
)
def test_reindex(self):
self.df.reindex()
assert_frame_equal(
self.df.reindex([2, 1, 0, 3]),
DataFrame([2, 1, 0, 3], index=[2, 1, 0, 3])
)
def test_apply(self):
self.df.apply(np.sum)
# def test_applymap(self):
# self.df.applymap(np.sum)
def test_append(self):
df2 = DataFrame([[4, 8], [5, 9], [6, np.NAN], [7, np.NAN]])
(self.df
.append(df2)
)
def test_values(self):
self.df.values
def test_rename(self):
self.df.rename(columns={0:'first'})
def test_drop(self):
self.df.drop(0)
self.df.drop(2, axis=0)
def test_dropna(self):
(
DataFrame([[4, 8], [5, 9], [6, np.NAN], [7, np.NAN]])
.dropna()
)
def test_fillna(self):
(DataFrame([[4, 8], [5, 9], [6, np.NAN], [7, np.NAN]])
.fillna(5)
)
def test_groupby(self):
(self.df
.rename(columns={0:'first'})
.groupby('first')
.apply(np.mean)
)
@property
def test_ix(self):
self.df.ix[0]
def test_set_index(self):
self.df.set_index(0)
# def test_pivot(self):
#