parselmouth.Matrix#
- class parselmouth.Matrix#
Bases:
SampledXY
Methods
Read a file into a
parselmouth.Data
object.Attributes
- class FileFormat#
Bases:
pybind11_object
- __index__(self: parselmouth.Data.FileFormat) int #
- __init__(self: parselmouth.Data.FileFormat, value: int) None #
- __init__(self: parselmouth.Data.FileFormat, arg0: str) None
- __int__(self: parselmouth.Data.FileFormat) int #
- __new__(**kwargs)#
- __str__()#
name(self: handle) -> str
- BINARY = <FileFormat.BINARY: 2>#
- SHORT_TEXT = <FileFormat.SHORT_TEXT: 1>#
- TEXT = <FileFormat.TEXT: 0>#
- property name#
- property value#
- __buffer__(flags, /)#
Return a buffer object that exposes the underlying memory of the object.
- __copy__(self: parselmouth.Data) parselmouth.Data #
- __deepcopy__(self: parselmouth.Data, memo: dict) parselmouth.Data #
- __eq__(self: parselmouth.Data, other: parselmouth.Data) bool #
- __init__(*args, **kwargs)#
- __len__(self: parselmouth.Sampled) int #
- __ne__(self: parselmouth.Data, other: parselmouth.Data) bool #
- __new__(**kwargs)#
- __release_buffer__(buffer, /)#
Release the buffer object that exposes the underlying memory of the object.
- __str__(self: parselmouth.Thing) str #
- as_array(self: parselmouth.Matrix) numpy.ndarray[numpy.float64] #
- at_xy(self: parselmouth.Matrix, x: float, y: float) float #
- copy(self: parselmouth.Data) parselmouth.Data #
- formula(self: parselmouth.Matrix, formula: str, from_x: float | None = None, to_x: float | None = None, from_y: float | None = None, to_y: float | None = None) None #
- formula(self: parselmouth.Matrix, formula: str, x_range: Tuple[float | None, float | None] = (None, None), y_range: Tuple[float | None, float | None] = (None, None)) None
- get_column_distance(self: parselmouth.Matrix) float #
- get_highest_x(self: parselmouth.Matrix) float #
- get_highest_y(self: parselmouth.Matrix) float #
- get_lowest_x(self: parselmouth.Matrix) float #
- get_lowest_y(self: parselmouth.Matrix) float #
- get_maximum(self: parselmouth.Matrix) float #
- get_minimum(self: parselmouth.Matrix) float #
- get_number_of_columns(self: parselmouth.Matrix) int #
- get_number_of_rows(self: parselmouth.Matrix) int #
- get_row_distance(self: parselmouth.Matrix) float #
- get_sum(self: parselmouth.Matrix) float #
- get_value_at_xy(self: parselmouth.Matrix, x: float, y: float) float #
- get_value_in_cell(self: parselmouth.Matrix, row_number: Positive[int], column_number: Positive[int]) float #
- get_x_of_column(self: parselmouth.Matrix, column_number: Positive[int]) float #
- get_y_of_row(self: parselmouth.Matrix, row_number: Positive[int]) float #
- info(self: parselmouth.Thing) str #
- static read(file_path: str) parselmouth.Data #
Read a file into a
parselmouth.Data
object.- Parameters:
file_path (str) – The path of the file on disk to read.
- Returns:
The Praat Data object that was read.
- Return type:
See also
- save(self: parselmouth.Data, file_path: str, format: parselmouth.Data.FileFormat = <FileFormat.TEXT: 0>) None #
- save_as_binary_file(self: parselmouth.Data, file_path: str) None #
- save_as_headerless_spreadsheet_file(self: parselmouth.Matrix, file_path: str) None #
- save_as_matrix_text_file(self: parselmouth.Matrix, file_path: str) None #
- save_as_short_text_file(self: parselmouth.Data, file_path: str) None #
- save_as_text_file(self: parselmouth.Data, file_path: str) None #
- scale_x_by(self: parselmouth.Function, scale: Positive[float]) None #
- scale_x_to(self: parselmouth.Function, new_xmin: float, new_xmax: float) None #
- set_value(self: parselmouth.Matrix, row_number: Positive[int], column_number: Positive[int], new_value: float) None #
- shift_x_by(self: parselmouth.Function, shift: float) None #
- shift_x_to(self: parselmouth.Function, x: float, new_x: float) None #
- x_bins(self: parselmouth.Sampled) numpy.ndarray[numpy.float64] #
- x_grid(self: parselmouth.Sampled) numpy.ndarray[numpy.float64] #
- xs(self: parselmouth.Sampled) numpy.ndarray[numpy.float64] #
- y_bins(self: parselmouth.SampledXY) numpy.ndarray[numpy.float64] #
- y_grid(self: parselmouth.SampledXY) numpy.ndarray[numpy.float64] #
- ys(self: parselmouth.SampledXY) numpy.ndarray[numpy.float64] #
- __hash__ = None#
- property class_name#
- property dx#
- property dy#
- property full_name#
- property n_columns#
- property n_rows#
- property name#
- property nx#
- property ny#
- property values#
- property x1#
- property xmax#
- property xmin#
- property xrange#
- property y1#
- property ymax#
- property ymin#
- property yrange#