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REF: repr - allow block to override values that get formatted #17143
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# -*- coding: utf-8 -*- | ||
# pylint: disable=W0102 | ||
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import numpy as np | ||
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import pandas as pd | ||
from pandas.core.internals import Block, BlockManager, SingleBlockManager | ||
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class CustomBlock(Block): | ||
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def formatting_values(self): | ||
return np.array(["Val: {}".format(i) for i in self.values]) | ||
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def test_custom_repr(): | ||
values = np.arange(3, dtype='int64') | ||
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# series | ||
block = CustomBlock(values, placement=slice(0, 3)) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I wouldn't pass fastpath, that's not really a public option. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If you don't use fastpath, it does not preserve the Block type. Eg:
The reason is that we don't check for For that reason I am also using the fastpath in GeoPandas. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. hmm, that looks like a bug. if you change that does it break anything else? (could be followup as well) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. In general it has proven a bit difficult to construct Series and DataFrame objects from given blocks, without re-creating the blocks (eg in Series, the block gets converted to array, which is then passed to SingleBlockManager, which does not preserve the block type) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. you generally need to give it a SingleBkockManger or BlockManager blocks are a lower level item There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. yes, that's fine. But slightly change my comment: it has also proven to be difficult to add a block to a BlockManager with preserving the block type. Once we have a BlockManager, it's indeed simply passing it to DataFrame(..) to get a df. That's what we do to create dataframes, I should probably take the same approach to create SingleBlockManager for the series case instead of using that fastpath. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. why is it hard to add a Block to BM There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. you have Block.set and Block.insert methods to add things to a Block, but those also do not preserve the block you pass There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. See here for a work around that I now use in the geopandas refactor branch: geopandas/geopandas#467 (comment) (but given the length of code in Block.insert/set, this is maybe actually a simple way) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. BTW, I added a commit with an attempt to remove the usage of fastpath |
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s = pd.Series(SingleBlockManager(block, pd.RangeIndex(3))) | ||
assert repr(s) == '0 Val: 0\n1 Val: 1\n2 Val: 2\ndtype: int64' | ||
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# dataframe | ||
block = CustomBlock(values.reshape(1, -1), placement=slice(0, 1)) | ||
blk_mgr = BlockManager([block], [['col'], range(3)]) | ||
df = pd.DataFrame(blk_mgr) | ||
assert repr(df) == ' col\n0 Val: 0\n1 Val: 1\n2 Val: 2' |
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need to add this in setup.py as well