Abstract
In this chapter we discuss methods for reading data from a range of input data sources such as comma-separated values (.csv) files, database tables, JSON, and other sources of input to create DataFrames. The pandas readers are a collection of input/output methods for writing and loading values into DataFrames. These input/output methods are analogous to the family of SAS/Access Software used by SAS to read data values into SAS datasets and write SAS datasets into target output formats.
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© 2019 Randy Betancourt, Sarah Chen
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Betancourt, R., Chen, S. (2019). pandas Readers and Writers. In: Python for SAS Users. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5001-3_6
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DOI: https://doi.org/10.1007/978-1-4842-5001-3_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5000-6
Online ISBN: 978-1-4842-5001-3
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