Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.20.1 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview TextFileReader object for iteration. See iterating and chunking below. Quoting, compression, and file format compression [{'infer', 'gzip', 'bz2', 'zip', 'xz', 'zstd', None, dict}, default 'infer'] For

Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.20.1 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview TextFileReader object for iteration. See iterating and chunking below. Quoting, compression, and file format compression [{'infer', 'gzip', 'bz2', 'zip', 'xz', 'zstd', None, dict}, default 'infer'] For

Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.21.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview TextFileReader object for iteration. See iterating and chunking below. Quoting, compression, and file format compression [{'infer', 'gzip', 'bz2', 'zip', 'xz', 'zstd', None, dict}, default 'infer'] For

ValueError (GH10384). • Enable reading gzip compressed files via URL, either by explicitly setting the compression parameter or by inferring from the presence of the HTTP Content-Encoding header in the response required for compressed files in Python 2.) (GH11070, GH11073) • pd.read_csv is now able to infer compression type for files read from AWS S3 storage (GH11070, GH11074). 1.1. v0.17.0 (October 9, 2015) 15 (GH9777) • By default, read_csv and read_table will now try to infer the compression type based on the file exten- sion. Set compression=None to restore the previous behavior (no decompression). (GH9770) Deprecations

order as Series.order; add na_position arg to conform to Series.order (GH6847) • default sorting algorithm for Series.order is now quicksort, to conform with Series.sort (and numpy defaults) • add inplace is a way of visualizing multi-variate data. It is based on a simple spring tension minimization algorithm. Basically you set up a bunch of points in a plane. In our case they are equally spaced on a unit Parse whitespace-delimited (spaces or tabs) file (much faster than using a regular expression) • compression: decompress ’gzip’ and ’bz2’ formats on the fly. • dialect: string or csv.Dialect instance to

is a way of visualizing multi-variate data. It is based on a simple spring tension minimization algorithm. Basically you set up a bunch of points in a plane. In our case they are equally spaced on a unit Parse whitespace-delimited (spaces or tabs) file (much faster than using a regular expression) • compression: decompress ’gzip’ and ’bz2’ formats on the fly. • dialect: string or csv.Dialect instance to (see below). 19.8.14 Compression PyTables allows the stored data to be compressed. Tthis applies to all kinds of stores, not just tables. • Pass complevel=int for a compression level (1-9, with 0 being

is a way of visualizing multi-variate data. It is based on a simple spring tension minimization algorithm. Basically you set up a bunch of points in a plane. In our case they are equally spaced on a unit Parse whitespace-delimited (spaces or tabs) file (much faster than using a regular expression) • compression: decompress ’gzip’ and ’bz2’ formats on the fly. • dialect: string or csv.Dialect instance to (see below). 18.7.14 Compression PyTables allows the stored data to be compressed. Tthis applies to all kinds of stores, not just tables. • Pass complevel=int for a compression level (1-9, with 0 being

compressed URLs in read_csv . . . . . . . . . . . . . . . . . 42 1.5.1.6 Pickle file I/O now supports compression . . . . . . . . . . . . . . . . . . . . . . . 42 1.5.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1031 24.1.1.7 Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . 1031 24.1.1.8 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1114 24.8.8.1 Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1114 24.8.8.2 ptrepack

compressed URLs in read_csv . . . . . . . . . . . . . . . . . 13 1.3.1.6 Pickle file I/O now supports compression . . . . . . . . . . . . . . . . . . . . . . . 13 1.3.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997 24.1.1.7 Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . 997 24.1.1.8 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1080 24.8.8.1 Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1080 24.8.8.2 ptrepack

compressed URLs in read_csv . . . . . . . . . . . . . . . . . 11 1.2.1.6 Pickle file I/O now supports compression . . . . . . . . . . . . . . . . . . . . . . . 12 1.2.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 993 24.1.1.7 Quoting, Compression, and File Format . . . . . . . . . . . . . . . . . . . . . . . 993 24.1.1.8 Error Handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1076 24.8.8.1 Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1076 24.8.8.2 ptrepack