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AutoData is a free, open-source library for managing large datasets. It provides basic tools for importing and exporting data, as well as more advanced analysis techniques such as resampling and generalization. The library is scalable and can load datasets 100s of gigabytes in size. AutoData 3.17 has been released. This version fixes many bugs, updates the Python API to use Python 3 syntax (3.8), and improves documentation coverage for AutoLoad(). The new release should be available at https://autodata-project.org/download . If you find any bugs or have other feedback please report them to the Github Issue Tracker at https://github. com/autodata-project/autodata . AutoData provides support for almost all types of data file on most platforms. The following table lists the supported file formats on different platforms.AutoData provides tools for reading delimited text files, importing CSV files, and conversion of delimited text to CSV format. As an example of how these tools are used, the following code illustrates how to read a CSV file with columns named "A", "B", and so on. The first line of the file contains the header information that determines how each line is processed. import lxml. etree as ET from autodata.interfaces import IESuper from autodata.utils import TextToCsv # Perform the CSV file import. csv_file = TextToCsv( infile="my_csv_file.csv", delimiter="\\t" ) # Load a sample dataset called my_dataset, which contains data in the format: "A B C D E F G H I" my_dataset = ET. Element( csv_file.getroot() , "my_dataset" ) # Get the root element, which contains the data my_dataset = ET.Element( my_dataset ) # Get the data elements in the dataset, e.g., A B C D E F G H I # For each element, display its value and comments. for e in my_dataset.getiterator(): print e.get("A"), e.get("B"), \\ e.get("C"), ":", e.get("D"), ":", \\ e.get("E"), ":", e.get("F"), ":", \\ e.get("G"), ":", e.get("H"), ":" print # Get an iterator for the dataset's metadata, if present metadata = ET.SubElement( my_dataset, 'metadata' ).\\ getiterator() metadata = ET.SubElement( my_dataset ).\\ getiterator() for m in metadata\\ . cfa1e77820
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