file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [127]: import io In [128]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [133]: import io In [134]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [132]: import io In [133]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

• Changed the default configuration value for options.matplotlib.register_converters from True to "auto" (GH18720). Now, pandas custom formatters will only be applied to plots created by pandas, through ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [123]: import io In [124]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [123]: import io In [124]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

file object opened binary mode. In most cases, it is not necessary to specify mode as Pandas will auto-detect whether the file object is opened in text or binary mode. In [123]: import io In [124]: data ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to

ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to case Python/IPython is running in a terminal this is set to 0 by default and pandas will correctly auto-detect the width of the terminal and switch to a smaller format in case all columns would not fit

ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to case Python/IPython is running in a terminal this is set to 0 by default and pandas will correctly auto-detect the width of the terminal and switch to a smaller format in case all columns would not fit

ptrepack. In addition, ptrepack can change compression levels after the fact. ptrepack --chunkshape=auto --propindexes --complevel=9 --complib=blosc in.h5 out.h5 Furthermore ptrepack in.h5 out.h5 will repack can be one of pyarrow, or fastparquet, or auto. If the engine is NOT specified, then the pd.options.io.parquet.engine option is checked; if this is also auto, then pyarrow is tried, and falling back to case Python/IPython is running in a terminal this is set to 0 by default and pandas will correctly auto-detect the width of the terminal and switch to a smaller format in case all columns would not fit