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Made comments in README.md and data_types.py consistent
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examples/data_types.py

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# coding=utf-8
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"""
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tableformatter supports and has been tested with the following tabular data types:
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- lists of lists or other iterables of iterables
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- two-dimensional NumPy array
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- list or another iterable of dicts (dict keys iterated through as column values)
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- dict of iterables (dict keys iterated through as rows where each key must be a hashable iterable)
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- NumPy record arrays (names as columns)
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- pandas.DataFrame
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- list or another iterable of arbitrary non-iterable objects (column specifier required)
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* list of lists or another iterable of iterables
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* two-dimensional NumPy arrays
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* NumPy record arrays (names as columns)
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* pandas.DataFrame
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* list or another iterable of arbitrary non-iterable objects (column specifier required)
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* list or another iterable of dicts (dict keys iterated through as rows where each key must be a hashable iterable)
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* dict of iterables (keys as columns)
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This example demonstrates tableformatter working with these data types in the simplest possible manner.
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"""

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