See the cookbook for some advanced strategies They can take a number of arguments: • filepath_or_buffer: Either a string path to a file, url (including http, ftp, and s3 locations), or any object with converted to a valid JSON string. Use to_json with optional parameters: • path_or_buf : the pathname or buffer to write the output This can be None in which case a JSON string is returned • orient : Series typ is not supplied or is None. To explicity force Series parsing, pass typ=series • filepath_or_buffer : a VALID JSON string or file handle / StringIO. The string could be a URL. Valid URL schemes include

containers (GH5740) • df.to_csv will now return a string of the CSV data if neither a target path nor a buffer is provided (GH6061) • pd.infer_freq() will now raise a TypeError if given an invalid Series/Index See the cookbook for some advanced strategies They can take a number of arguments: • filepath_or_buffer: Either a string path to a file, url (including http, ftp, and s3 locations), or any object with converted to a valid JSON string. Use to_json with optional parameters: • path_or_buf : the pathname or buffer to write the output This can be None in which case a JSON string is returned • orient : Series

containers (GH5740) • df.to_csv will now return a string of the CSV data if neither a target path nor a buffer is provided (GH6061) • pd.infer_freq() will now raise a TypeError if given an invalid Series/Index See the cookbook for some advanced strategies They can take a number of arguments: • filepath_or_buffer: Either a string path to a file, URL (including http, ftp, and S3 locations), or any object with converted to a valid JSON string. Use to_json with optional parameters: • path_or_buf : the pathname or buffer to write the output This can be None in which case a JSON string is returned • orient : Series

containers (GH5740) • df.to_csv will now return a string of the CSV data if neither a target path nor a buffer is provided (GH6061) • pd.infer_freq() will now raise a TypeError if given an invalid Series/Index See the cookbook for some advanced strategies They can take a number of arguments: • filepath_or_buffer: Either a string path to a file, URL (including http, ftp, and S3 locations), or any object with converted to a valid JSON string. Use to_json with optional parameters: • path_or_buf : the pathname or buffer to write the output This can be None in which case a JSON string is returned • orient : Series

of arguments: 357 pandas: powerful Python data analysis toolkit, Release 0.12.0 • filepath_or_buffer: Either a string path to a file, url (including http, ftp, and s3 locations), or any object with converted to a valid JSON string. Use to_json with optional parameters: • path_or_buf : the pathname or buffer to write the output This can be None in which case a JSON string is returned • orient : Series typ is not supplied or is None. To explicity force Series parsing, pass typ=series • filepath_or_buffer : a VALID JSON string or file handle / StringIO. The string could be a URL. Valid URL schemes include

where DataFrame to decode has duplicate column names (GH9618) • Bug in io.common.get_filepath_or_buffer which caused reading of valid S3 files to fail if the bucket also contained keys for which the user (GH9272). • Regression in merging Categorical and object dtypes (GH9426) • Bug in read_csv with buffer overflows with certain malformed input files (GH9205) • Bug in groupby MultiIndex with missing pair containers (GH5740) • df.to_csv will now return a string of the CSV data if neither a target path nor a buffer is provided (GH6061) • pd.infer_freq() will now raise a TypeError if given an invalid Series/Index

strategies. Parsing options read_csv() accepts the following common arguments: Basic filepath_or_buffer [various] Either a path to a file (a str, pathlib.Path, or py._path.local. LocalPath), URL (including valid with C parser) memory_map [boolean, default False] If a filepath is provided for filepath_or_buffer, map the file object directly onto memory and access the data directly from there. Using this option on-the-fly de- compression of on-disk data. If ‘infer’, then use gzip, bz2, zip, or xz if filepath_or_buffer is path-like ending in ‘.gz’, ‘.bz2’, ‘.zip’, or ‘.xz’, respectively, and no decompression otherwise

strategies. Parsing options read_csv() accepts the following common arguments: Basic filepath_or_buffer [various] Either a path to a file (a str, pathlib.Path, or py._path.local.LocalPath), URL (including valid with C parser) memory_map [boolean, default False] If a filepath is provided for filepath_or_buffer, map the file object directly onto memory and access the data directly from there. Using this option on-the-fly decompres- sion of on-disk data. If ‘infer’, then use gzip, bz2, zip, or xz if filepath_or_buffer is path-like ending in ‘.gz’, ‘.bz2’, ‘.zip’, or ‘.xz’, respectively, and no decompression otherwise

strategies. Parsing options read_csv() accepts the following common arguments: Basic filepath_or_buffer [various] Either a path to a file (a str, pathlib.Path, or py._path.local.LocalPath), URL (including valid with C parser) memory_map [boolean, default False] If a filepath is provided for filepath_or_buffer, map the file object directly onto memory and access the data directly from there. Using this option on-the-fly decompres- sion of on-disk data. If ‘infer’, then use gzip, bz2, zip, or xz if filepath_or_buffer is path-like ending in ‘.gz’, ‘.bz2’, ‘.zip’, or ‘.xz’, respectively, and no decompression otherwise

strategies. Parsing options read_csv() accepts the following common arguments: Basic filepath_or_buffer [various] Either a path to a file (a str, pathlib.Path, or py:py._path.local.LocalPath), URL (including valid with C parser) memory_map [boolean, default False] If a filepath is provided for filepath_or_buffer, map the file object directly onto memory and access the data directly from there. Using this option decompression of on-disk data. If ‘infer’, then use gzip, bz2, zip, xz, or zstandard if filepath_or_buffer is path-like ending in ‘.gz’, ‘.bz2’, ‘.zip’, ‘.xz’, ‘.zst’, respectively, and no decompression otherwise