Overview: FrameGO: Constructor

Detail: FrameGO: Constructor

Detail

FrameGO.__init__(data, *, index, columns, name, index_constructor, columns_constructor, own_data, own_index, own_columns)

Initializer. Args: data: Default Frame initialization requires typed data such a…

Detail

FrameGO.from_arrow(value, *, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, dtypes, name, consolidate_blocks)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Frame constructor from an iterator of pairs, where the first value is the column…

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FrameGO.from_json(json_data, *, dtypes, name, consolidate_blocks)

Frame constructor from an in-memory JSON document. Args: json_data: a string of…

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FrameGO.from_json_columns(json_data, *, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)

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)

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)

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)

Frame constructor from an in-memory JSON document in the following format: A JSO…

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FrameGO.from_json_url(url, *, dtypes, name, consolidate_blocks)

Frame constructor from a JSON documenst provided via a URL. Args: url: URL to th…

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FrameGO.from_json_values(json_data, *, index, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor)

Frame constructor from an in-memory JSON document in the following format: A JSO…

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FrameGO.from_msgpack(msgpack_data)

Frame constructor from an in-memory binary object formatted as a msgpack. Args:…

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FrameGO.from_npy(fp)

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)

Create a Frame from an directory of npy files using memory maps. Args: fp: The p…

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FrameGO.from_npz(fp)

Create a Frame from an npz file.

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FrameGO.from_overlay(containers, *, index, columns, union, name, func, fill_value)

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)

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)

Realize a Frame from a Parquet file. Args: fp: A string file path or Path instan…

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FrameGO.from_pickle(fp)

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)

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)

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)

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)

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)

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)

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)

Specialized version of Frame.from_delimited for TSV files. Returns: Frame

Detail

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)

Load Frame from the contents of a sheet in an XLSX workbook. Args: label: Option…

FrameGO: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Transpose | Accessor Fill Value | Accessor Regular Expression | Accessor Hashlib