absfuyu.extra.da package

Absfuyu: Data Analysis

Data Analyst

Version: 5.1.0 Date updated: 10/03/2025 (dd/mm/yyyy)

class absfuyu.extra.da.MatplotlibFormatString[source]

Bases: BaseClass

Matplotlib format string

Available format: - <marker><line><color> - <color><marker><line>

MARKER_DATA: ClassVar[dict[str, str]] = {'*': 'star marker', '+': 'plus marker', ',': 'pixel marker', '.': 'point marker', '1': 'tri_down marker', '2': 'tri_up marker', '3': 'tri_left marker', '4': 'tri_right marker', '8': 'octagon marker', '<': 'triangle_left marker', '>': 'triangle_right marker', 'D': 'diamond marker', 'H': 'hexagon2 marker', 'P': 'plus (filled) marker', 'X': 'x (filled) marker', '^': 'triangle_up marker', '_': 'hline marker', 'd': 'thin_diamond marker', 'h': 'hexagon1 marker', 'o': 'circle marker', 'p': 'pentagon marker', 's': 'square marker', 'v': 'triangle_down marker', 'x': 'x marker', '|': 'vline marker'}
LINE_STYLE_DATA: ClassVar[dict[str, str]] = {'-': 'solid line style', '--': 'dashed line style', '-.': 'dash-dot line style', ':': 'dotted line style'}
COLOR_DATA: ClassVar[dict[str, str]] = {'b': 'blue', 'c': 'cyan', 'g': 'green', 'k': 'black', 'm': 'magenta', 'r': 'red', 'w': 'white', 'y': 'yellow'}
classmethod all_format_string() → list[_PLTFormatString][source]
classmethod get_random() → _PLTFormatString[source]

Get a random format string

Returns:

Random format string

Return type:

str

class absfuyu.extra.da.DADF(data=None, index: Axes | None = None, columns: Axes | None = None, dtype: Dtype | None = None, copy: bool | None = None)[source]

Bases: ShowAllMethodsMixin, DataAnalystDataFrameCityMixin, DataAnalystDataFrameDateMixin, DataAnalystDataFrameOtherMixin, DataAnalystDataFrameNAMixin, DataAnalystDataFrameInfoMixin, DataAnalystDataFrameRowMethodMixin, DataAnalystDataFrameColumnMethodMixin

Data Analyst pd.DataFrame

For a list of extra methods: >>> print(DADF.DADF_METHODS)

classmethod dadf_help() → list[str][source]

Show all available method of DataAnalystDataFrame

Added in version 3.2.0

Deprecated in version 5.1.0

classmethod sample_df(size: int = 100) → Self[source]

Create sample DataFrame

Parameters:

size (int) – Number of observations, by default 100

Returns:

DataFrame with these columns: [number, number_big, number_range, missing_value, text, date]

Return type:

Self

Example:

>>> DataAnalystDataFrame.sample_df()
      number  number_big number_range  missing_value      text       date
0  -2.089770         785          700            NaN  vwnlqoql 2013-11-20
1  -0.526689         182          100           24.0  prjjcvqc 2007-04-13
2  -1.596514         909          900            8.0  cbcpzlac 2023-05-24
3   2.982191         989          900           21.0  ivwqwuvd 2022-04-28
4   1.687803         878          800            NaN  aajtncum 2005-10-05
..       ...         ...          ...            ...       ...        ...
95 -1.295145         968          900           16.0  mgqunkhi 2016-04-12
96  1.296795         255          200            NaN  lwvytego 2014-05-10
97  1.440746         297          200            5.0  lqsoykun 2010-04-03
98  0.327702         845          800            NaN  leadkvsy 2005-08-05
99  0.556720         981          900           36.0  bozmxixy 2004-02-22
[100 rows x 6 columns]

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