77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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# pylint: disable=W0102
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import numpy as np
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import pandas as pd
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from pandas.core.internals import (
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BlockManager, SingleBlockManager, NonConsolidatableMixIn, Block)
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import pytest
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class CustomBlock(NonConsolidatableMixIn, Block):
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_holder = np.ndarray
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def formatting_values(self):
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return np.array(["Val: {}".format(i) for i in self.values])
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def concat_same_type(self, to_concat, placement=None):
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"""
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Always concatenate disregarding self.ndim as the values are
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always 1D in this custom Block
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"""
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values = np.concatenate([blk.values for blk in to_concat])
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return self.make_block_same_class(
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values, placement=placement or slice(0, len(values), 1))
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@pytest.fixture
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def df():
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df1 = pd.DataFrame({'a': [1, 2, 3]})
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blocks = df1._data.blocks
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values = np.arange(3, dtype='int64')
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custom_block = CustomBlock(values, placement=slice(1, 2))
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blocks = blocks + (custom_block,)
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block_manager = BlockManager(blocks, [pd.Index(['a', 'b']), df1.index])
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return pd.DataFrame(block_manager)
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def test_custom_repr():
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values = np.arange(3, dtype='int64')
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# series
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block = CustomBlock(values, placement=slice(0, 3))
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s = pd.Series(SingleBlockManager(block, pd.RangeIndex(3)))
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assert repr(s) == '0 Val: 0\n1 Val: 1\n2 Val: 2\ndtype: int64'
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# dataframe
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block = CustomBlock(values, placement=slice(0, 1))
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blk_mgr = BlockManager([block], [['col'], range(3)])
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df = pd.DataFrame(blk_mgr)
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assert repr(df) == ' col\n0 Val: 0\n1 Val: 1\n2 Val: 2'
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def test_concat_series():
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# GH17728
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values = np.arange(3, dtype='int64')
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block = CustomBlock(values, placement=slice(0, 3))
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s = pd.Series(block, pd.RangeIndex(3), fastpath=True)
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res = pd.concat([s, s])
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assert isinstance(res._data.blocks[0], CustomBlock)
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def test_concat_dataframe(df):
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# GH17728
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res = pd.concat([df, df])
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assert isinstance(res._data.blocks[1], CustomBlock)
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def test_concat_axis1(df):
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# GH17954
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df2 = pd.DataFrame({'c': [.1, .2, .3]})
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res = pd.concat([df, df2], axis=1)
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assert isinstance(res._data.blocks[1], CustomBlock)
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