`.data_grouping`

class: `DataGroupingOptions`

class DataGroupingOptions(**kwargs)[source]

Data grouping options for the wind barbs. Defaults to None.

Warning

In Highcharts, this requires the modules/datagrouping.js module to be loaded. In Highcharts Stock, data grouping is included.

Class Inheritance

Inheritance diagram of DataGroupingOptions

copy(other=None, overwrite=True, **kwargs)

Copy the configuration settings from this instance to the other instance.

Parameters:

other (HighchartsMeta) – The target instance to which the properties of this instance should be copied. If None, will create a new instance and populate it with properties copied from self. Defaults to None.
overwrite (bool) – if True, properties in other that are already set will be overwritten by their counterparts in self. Defaults to True.
kwargs – Additional keyword arguments. Some special descendents of HighchartsMeta may have special implementations of this method which rely on additional keyword arguments.

Returns:

A mutated version of other with new property values

classmethod from_dict(as_dict: dict, allow_snake_case: bool = True)

Construct an instance of the class from a dict object.

Parameters:

as_dict (dict) – A dict representation of the object.
allow_snake_case (bool) – If True, interprets snake_case keys as equivalent to camelCase keys. Defaults to True.

Returns:

A Python object representation of as_dict.

Return type:

HighchartsMeta

classmethod from_js_literal(as_str_or_file, allow_snake_case: bool = True, _break_loop_on_failure: bool = False)

Return a Python object representation of a Highcharts JavaScript object literal.

Parameters:

as_str_or_file (str) – The JavaScript object literal, represented either as a str or as a filename which contains the JS object literal.
allow_snake_case (bool) – If True, interprets snake_case keys as equivalent to camelCase keys. Defaults to True.
_break_loop_on_failure (bool) – If True, will break any looping operations in the event of a failure. Otherwise, will attempt to repair the failure. Defaults to False.

Returns:

A Python object representation of the Highcharts JavaScript object literal.

Return type:

HighchartsMeta

classmethod from_json(as_json_or_file, allow_snake_case: bool = True)

Construct an instance of the class from a JSON string.

Parameters:

as_json_or_file – The JSON string for the object or the filename of a file that contains the JSON string.
allow_snake_case (bool) – If True, interprets snake_case keys as equivalent to camelCase keys. Defaults to True.

Returns:

A Python objcet representation of as_json.

Return type:

HighchartsMeta

to_dict() → dict

Generate a dict representation of the object compatible with the Highcharts JavaScript library.

Note

The dict representation has a property structure and naming convention that is intentionally consistent with the Highcharts JavaScript library. This is not Pythonic, but it makes managing the interplay between the two languages much, much simpler.

Returns:: A dict representation of the object.
Return type:: dict

to_js_literal(filename=None, encoding='utf-8') → str | None

Return the object represented as a str containing the JavaScript object literal.

Parameters:

filename (Path-like) – The name of a file to which the JavaScript object literal should be persisted. Defaults to None
encoding (str) – The character encoding to apply to the resulting object. Defaults to 'utf-8'.

Return type:

str or None

to_json(filename=None, encoding='utf-8')

Generate a JSON string/byte string representation of the object compatible with the Highcharts JavaScript library.

Note

This method will either return a standard str or a bytes object depending on the JSON serialization library you are using. For example, if your environment has orjson, the result will be a bytes representation of the string.

Parameters:

filename (Path-like) – The name of a file to which the JSON string should be persisted. Defaults to None
encoding (str) – The character encoding to apply to the resulting object. Defaults to 'utf-8'.

Returns:

A JSON representation of the object compatible with the Highcharts library.

Return type:

str or bytes

static trim_dict(untrimmed: dict, to_json: bool = False) → dict

Remove keys from untrimmed whose values are None and convert values that have .to_dict() methods.

Parameters:

untrimmed (dict) – The dict whose values may still be None or Python objects.
to_json (bool) – If True, will remove all keys from untrimmed that are not serializable to JSON. Defaults to False.

Returns:

Trimmed dict

Return type:

dict

static trim_iterable(untrimmed, to_json=False)

Convert any EnforcedNullType values in untrimmed to 'null'.

Parameters:

untrimmed (iterable) – The iterable whose members may still be None or Python objects.
to_json (bool) – If True, will remove all members from untrimmed that are not serializable to JSON. Defaults to False.

Return type:

iterable

property anchor: str | None

Specifies how the points should be located on the X axis inside the group. Defaults to 'start'.

Available options:

'start' places the point at the beginning of the group (e.g. range 00:00:00 - 23:59:59 -> 00:00:00)

'middle' places the point in the middle of the group (e.g. range 00:00:00 - 23:59:59 -> 12:00:00)

'end' places the point at the end of the group (e.g. range 00:00:00 - 23:59:59 -> 23:59:59)

Return type:: str or None

property approximation: str | CallbackFunction | None

Approximation function for the data grouping. The default ('windbarb') returns an average of wind speed and a vector average direction weighted by wind speed.

Return type:: str or CallbackFunction or None

property date_time_label_formats: DateTimeLabelFormats | None

Datetime formats for the header of the tooltip in a stock chart. Defaults to None.

See also

DateTimeLabelFormats

Return type:: DateTimeLabelFormats or None

property enabled: bool | None

If True, enables data grouping. Defaults to True.

Return type:: bool or None

property first_anchor: str | None

Specifies how the first grouped point is positioned on the xAxis. Defaults to 'start'.

If first_anchor and/or last_anchor are provided, then those options take precedence over anchor for the first and/or last grouped points.

Supported values are:

'start' places the point at the beginning of the group (e.g. range 00:00:00 - 23:59:59 -> 00:00:00)

'middle' places the point in the middle of the group (e.g. range 00:00:00 - 23:59:59 -> 12:00:00)

'end' places the point at the end of the group (e.g. range 00:00:00 - 23:59:59 -> 23:59:59)

'firstPoint' places the point at the first point in the group (e.g. points at 00:13, 00:35, 00:59 -> 00:13)

'lastPoint' places the point at the last point in the group (e.g. points at 00:13, 00:35, 00:59 -> 00:59)

Return type:: str or None

property forced: bool | None

If True, data grouping is applied no matter how small the intervals are. Defaults to False.

Hint

This can be handy for example when the sum should be calculated for values appearing at random times within each hour.

Return type:: bool or None

property group_all: bool | None

If True, will force data grouping to calculate all grouped points for a given dataset even if not visible. If False, data grouping is calculated only for visible points. Defaults to False.

Note

Setting this option to True prevents for example a column series from calculating a grouped point only for part of the dataset. The effect is similar to SeriesOptions.get_extremes_from_all() but does not affect yAxis extremes.

Return type:: bool or None

property group_pixel_width: int | float | Decimal | None

The approximate data group width, expressed in pixels. Defaults to 30.

Return type:: numeric or None

property last_anchor: str | None

Specifies how the last grouped point is positioned on the xAxis. Defaults to 'start'.

If first_anchor and/or last_anchor are provided, then those options take precedence over anchor for the first and/or last grouped points.

Supported values are:

'start' places the point at the beginning of the group (e.g. range 00:00:00 - 23:59:59 -> 00:00:00)

'middle' places the point in the middle of the group (e.g. range 00:00:00 - 23:59:59 -> 12:00:00)

'end' places the point at the end of the group (e.g. range 00:00:00 - 23:59:59 -> 23:59:59)

'firstPoint' places the point at the first point in the group (e.g. points at 00:13, 00:35, 00:59 -> 00:13)

'lastPoint' places the point at the last point in the group (e.g. points at 00:13, 00:35, 00:59 -> 00:59)

Return type:: str or None

An array determining what time intervals the data is allowed to be grouped to. Each array item is an array where the first value is the time unit expressed as a str and the second value is another array of allowed multiples.

Defaults to None, which behaves as:

{
    'units': [
        [
            'millisecond', # unit name
            [1, 2, 5, 10, 20, 25, 50, 100, 200, 500] # allowed multiples
        ],
        [
            'second',
            [1, 2, 5, 10, 15, 30]
        ],
        [
            'minute',
            [1, 2, 5, 10, 15, 30]
        ],
        [
            'hour',
            [1, 2, 3, 4, 6, 8, 12]
        ],
        [
            'day',
            [1]
        ],
        [
            'week',
            [1]
        ],
        [
            'month',
            [1, 3, 6]
        ],
        [
            'year',
            None
        ]
    ]
}

Return type:: list of list of str and list of numerics, or None

.data_grouping

class: DataGroupingOptions

`.data_grouping`

class: `DataGroupingOptions`