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update version number
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README.md

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@@ -47,9 +47,9 @@ df0 = pd.DataFrame([[0.09, 0.91, 0.23, 0.01, 0.02, 0.06],
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[0.08, 0.64, 0.31, 0.98, 0.63, 0.05],
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[0.74, 0.93, 0.76, 0.54, 0.03, 0.07],
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[0.79, 0.98, 0.51, 0.73, 0.13, 0.31]],
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columns=["f", "o", "o", "b", "a", "r"])
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columns=["f", "o", "o", "ß", "a", "r"])
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# you can write a DataFrame into a HDF5 file with create_dataset
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# You can write a DataFrame into a HDF5 file with create_dataset
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# Inside the file, the columns names are saved as attribute of the dataset.
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with h5pandas.File("foo.h5", "w") as file:
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df = file.create_dataset('bar', data=df0)
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delta = df - df0
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# you can still change columns names after DataFrame creation (it won't change them on the disk).
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df.columns = ["a", "b", "c", "d", "e", "g"]
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df.columns = ["a", "b", "c", "d", "é", "g"]
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# With the "h5" accessor you can access to ...
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# The file
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with h5py.File("foo.h5", "r") as file:
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dataset = file['/bar']
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df = h5pandas.dataset_to_dataframe(dataset, ["a", "b", "c", "d", "e", "g"])
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```

h5pandas/__init__.py

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from .dataframe import dataset_to_dataframe
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from h5py import *
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from .group import Group, File
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__version__ = "0.3"
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__version__ = "0.4"

setup.py

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# This call to setup() does all the work
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setup(
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name="h5pandas",
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version="0.3",
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version="0.4",
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description="Load hdf5 into Pandas DataFrame instantaneously",
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long_description=long_description,
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long_description_content_type="text/markdown",

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