Input and output#
NumPy binary files (npy, npz)#
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Load arrays or pickled objects from |
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Save an array to a binary file in NumPy |
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Save several arrays into a single file in uncompressed |
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Save several arrays into a single file in compressed |
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A dictionary-like object with lazy-loading of files in the zipped archive provided on construction. |
The format of these binary file types is documented in
numpy.lib.format
Text files#
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Load data from a text file. |
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Save an array to a text file. |
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Load data from a text file, with missing values handled as specified. |
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Construct an array from a text file, using regular expression parsing. |
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A new 1-D array initialized from text data in a string. |
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Write array to a file as text or binary (default). |
Return the array as an |
Raw binary files#
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Construct an array from data in a text or binary file. |
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Write array to a file as text or binary (default). |
String formatting#
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Return a string representation of an array. |
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Return the string representation of an array. |
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Return a string representation of the data in an array. |
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Format a floating-point scalar as a decimal string in positional notation. |
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Format a floating-point scalar as a decimal string in scientific notation. |
Memory mapping files#
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Create a memory-map to an array stored in a binary file on disk. |
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Open a .npy file as a memory-mapped array. |
Text formatting options#
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Set printing options. |
Return the current print options. |
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Context manager for setting print options. |
Base-n representations#
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Return the binary representation of the input number as a string. |
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Return a string representation of a number in the given base system. |
Data sources#
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A generic data source file (file, http, ftp, ...). |
Binary format description#
Binary serialization |