macpie.tablibtools.MacpieTablibDataset

class macpie.tablibtools.MacpieTablibDataset(*args, **kwargs)

Extend tablib.Dataset with extra functionality.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
add_formatter(col, handler)	Adds a formatter to the Dataset.
append(row[, tags])	Adds a row to the Dataset. See :method:`Dataset.insert` for additional documentation.
append_col(col[, header])	Adds a column to the Dataset. See :method:`Dataset.insert_col` for additional documentation.
append_col_fill(fill_value[, header])	Adds a column to the Dataset with a specified fill_value.
append_separator([text])	Adds a separator to the Dataset.
append_series(ser[, with_tags, tag_value])	Adds ser as a row to dset with tags derived from the labels in ser that are not headers in dset, and whose value is 'x' or 'X'.
compare(other)	Compare this MacpieTablibDataset with another.
export(format, **kwargs)	Export Dataset object to format.
extend(rows[, tags])	Adds a list of rows to the Dataset using :method:`Dataset.append`
extendleft(rows[, tags])	Prepend a list of Dataset fields.
filter(tag)	Returns a new instance of the Dataset, excluding any rows that do not contain the given tags.
from_df(df[, title])	Construct instance from a pandas.DataFrame.
from_excel(filepath[, sheet_name, headers, ...])	Construct instance from an Excel sheet.
from_tablib_dset(dset, *args, **kwargs)
get_cli(**kwargs)
get_col(index)	Returns the column from the Dataset at the given index.
get_csv(**kwargs)
get_dbf(**kwargs)
get_df(**kwargs)
get_jira(**kwargs)
get_json(**kwargs)
get_latex(**kwargs)
get_rst(**kwargs)
get_tsv(**kwargs)
get_xlsx(**kwargs)
insert(index, row[, tags])	Inserts a row to the Dataset at the given index.
insert_col(index[, col, header])	Inserts a column to the Dataset at the given index.
insert_separator(index[, text])	Adds a separator to Dataset at given index.
load(in_stream[, format])	Import in_stream to the Dataset object using the format.
lpop()	Removes and returns the first row of the Dataset.
lpush(row[, tags])	Adds a row to the top of the Dataset. See :method:`Dataset.insert` for additional documentation.
lpush_col(col[, header])	Adds a column to the top of the Dataset. See :method:`Dataset.insert` for additional documentation.
pop()	Removes and returns the last row of the Dataset.
print()	Print a representation table suited to a terminal in grid format.
remove_duplicates()	Removes all duplicate rows from the Dataset object while maintaining the original order.
rpop()	Removes and returns the last row of the Dataset.
rpush(row[, tags])	Adds a row to the end of the Dataset. See :method:`Dataset.insert` for additional documentation.
rpush_col(col[, header])	Adds a column to the end of the Dataset. See :method:`Dataset.insert` for additional documentation.
set_cli(in_stream, **kwargs)
set_csv(in_stream, **kwargs)
set_dbf(in_stream, **kwargs)
set_df(in_stream, **kwargs)
set_jira(in_stream, **kwargs)
set_json(in_stream, **kwargs)
set_latex(in_stream, **kwargs)
set_rst(in_stream, **kwargs)
set_tsv(in_stream, **kwargs)
set_xlsx(in_stream, **kwargs)
sort(col[, reverse])	Sort a Dataset by a specific column, given string (for header) or integer (for column index).
stack(other)	Stack two Dataset instances together by joining at the row level, and return new combined Dataset instance.
stack_cols(other)	Stack two Dataset instances together by joining at the column level, and return a new combined Dataset instance.
subset(*args, **kwargs)	Returns a new instance of the Dataset, including only specified rows and columns.
to_excel(excel_writer)	Write to an excel file using an MACPieExcelWriter instance.
transpose()	Transpose a Dataset, turning rows into columns and vice versa, returning a new Dataset instance.
wipe()	Removes all content and headers from the Dataset object.
wipe_data()	Removes all content (but not headers).

Attributes

data	Data of Dataset.
df	Get pandas.DataFrame representation of data.
dict	A native Python representation of the Dataset object.
headers	An optional list of strings to be used for header rows and attribute names.
height	The number of rows currently in the Dataset.
width	The number of columns currently in the Dataset.