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FrameGO.__init__(data, *, index, columns, name, index_constructor, columns_constructor, own_data, own_index, own_columns)
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Initializer. Args: data: Default Frame initialization requires typed data such a… |
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FrameGO.from_arrow(value, *, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, dtypes, name, consolidate_blocks)
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Realize a Frame from an Arrow Table. Args: value: A pyarrow.Table instance. inde… |
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FrameGO.from_clipboard(*, delimiter, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, columns_select, skip_header, skip_footer, skip_initial_space, quoting, quote_char, quote_double, escape_char, thousands_char, decimal_char, encoding, dtypes, name, consolidate_blocks, store_filter)
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Create a Frame from the contents of the clipboard (assuming a table is stored as… |
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FrameGO.from_concat(frames, *, axis, union, index, columns, index_constructor, columns_constructor, name, fill_value, consolidate_blocks)
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Concatenate multiple Frame or Series into a new Frame. If index or columns are p… |
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FrameGO.from_concat_items(items, *, axis, union, name, fill_value, index_constructor, columns_constructor, consolidate_blocks)
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Produce a Frame with a hierarchical index from an iterable of pairs of labels, F… |
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FrameGO.from_csv(fp, *, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, columns_select, skip_header, skip_footer, skip_initial_space, quoting, quote_char, quote_double, escape_char, thousands_char, decimal_char, encoding, dtypes, name, consolidate_blocks, store_filter)
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Specialized version of Frame.from_delimited for CSV files. Returns: Frame |
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FrameGO.from_delimited(fp, *, delimiter, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, columns_select, skip_header, skip_footer, skip_initial_space, quoting, quote_char, quote_double, escape_char, thousands_char, decimal_char, encoding, dtypes, name, consolidate_blocks, store_filter)
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Create a Frame from a file path or a file-like object defining a delimited (CSV,… |
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FrameGO.from_dict(mapping, *, index, fill_value, dtypes, name, index_constructor, columns_constructor, consolidate_blocks)
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Create a Frame from a dictionary (or any object that has an items() method) wher… |
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FrameGO.from_dict_fields(fields, *, columns, dtypes, name, fill_value, consolidate_blocks, index_constructor, columns_constructor, own_index)
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Frame constructor from an iterable of dictionaries, where each dictionary repres… |
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FrameGO.from_dict_records(records, *, index, dtypes, name, fill_value, consolidate_blocks, index_constructor, columns_constructor, own_index)
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Frame constructor from an iterable of dictionaries, where each dictionary repres… |
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FrameGO.from_dict_records_items(items, *, dtypes, name, consolidate_blocks)
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Frame constructor from iterable of pairs of index label, row, where row is a dic… |
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FrameGO.from_element(element, *, index, columns, dtype, name, index_constructor, columns_constructor, own_index, own_columns)
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Create a Frame from an element, i.e., a single value stored in a single cell. Bo… |
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FrameGO.from_element_items(items, *, index, columns, dtype, axis, name, fill_value, index_constructor, columns_constructor, own_index, own_columns)
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Create a Frame from an iterable of key, value, where key is a pair of row, colum… |
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FrameGO.from_elements(elements, *, index, columns, dtype, name, index_constructor, columns_constructor, own_index, own_columns)
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Create a Frame from an iterable of elements, to be formed into a Frame with a si… |
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FrameGO.from_fields(fields, *, index, columns, fill_value, dtypes, name, index_constructor, columns_constructor, own_index, own_columns, consolidate_blocks)
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Frame constructor from an iterator of columns, where columns are iterables. Seri… |
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FrameGO.from_hdf5(fp, *, label, index_depth, index_constructors, columns_depth, columns_constructors, consolidate_blocks)
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Load Frame from the contents of a table in an HDF5 file. |
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FrameGO.from_items(pairs, *, index, fill_value, dtypes, name, index_constructor, columns_constructor, consolidate_blocks)
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Frame constructor from an iterator of pairs, where the first value is the column… |
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FrameGO.from_json_columns(json_data, *, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_json_index(json_data, *, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_json_records(json_data, *, index, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_json_split(json_data, *, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_json_typed(json_data, *, consolidate_blocks)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_json_values(json_data, *, index, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)
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Frame constructor from an in-memory JSON document in the following format: A JSO… |
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FrameGO.from_msgpack(msgpack_data)
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Frame constructor from an in-memory binary object formatted as a msgpack. Args:… |
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FrameGO.from_npy(fp)
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Create a Frame from an directory of npy files. Args: fp: The path to the NPY dir… |
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FrameGO.from_npy_mmap(fp)
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Create a Frame from an directory of npy files using memory maps. Args: fp: The p… |
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FrameGO.from_npz(fp)
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Create a Frame from an npz file. |
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FrameGO.from_overlay(containers, *, index, columns, union, name, func, fill_value)
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Return a new Frame made by overlaying containers, filling in values with aligned… |
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FrameGO.from_pandas(value, *, index, index_constructor, columns, columns_constructor, dtypes, name, consolidate_blocks, own_data)
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Given a Pandas DataFrame, return a Frame. Args: value: Pandas DataFrame. index_c… |
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FrameGO.from_parquet(fp, *, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, columns_select, dtypes, name, consolidate_blocks)
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Realize a Frame from a Parquet file. Args: fp: A string file path or Path instan… |
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FrameGO.from_pickle(fp)
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Create a Frame from a pickle file. The pickle module is not secure. Only unpickl… |
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FrameGO.from_records(records, *, index, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor, own_index, own_columns)
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Construct a Frame from an iterable of rows, where rows are defined as iterables,… |
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FrameGO.from_records_items(items, *, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor, own_columns)
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Frame constructor from iterable of pairs of index value, row (where row is an it… |
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FrameGO.from_series(series, *, name, columns_constructor)
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Frame constructor from a Series: Args: series: A Series instance, to be realized… |
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FrameGO.from_sql(query, *, connection, index_depth, index_constructors, columns_depth, columns_select, columns_constructors, dtypes, name, consolidate_blocks, parameters)
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Frame constructor from an SQL query and a database connection object. Args: quer… |
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FrameGO.from_sqlite(fp, *, label, index_depth, index_constructors, columns_depth, columns_constructors, dtypes, consolidate_blocks)
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Load Frame from the contents of a table in an SQLite database file. |
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FrameGO.from_structured_array(array, *, index_depth, index_column_first, index_constructors, columns_depth, columns_constructors, dtypes, name, consolidate_blocks, store_filter)
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Convert a NumPy structed array into a Frame. Args: array: Structured NumPy array… |
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FrameGO.from_tsv(fp, *, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, columns_select, skip_header, skip_footer, skip_initial_space, quoting, quote_char, quote_double, escape_char, thousands_char, decimal_char, encoding, dtypes, name, consolidate_blocks, store_filter)
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Specialized version of Frame.from_delimited for TSV files. Returns: Frame |
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FrameGO.from_xlsx(fp, *, label, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, dtypes, consolidate_blocks, skip_header, skip_footer, trim_nadir, store_filter)
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Load Frame from the contents of a sheet in an XLSX workbook. Args: label: Option… |