chaco.data_range_1d module¶
Defines the DataRange1D class.

class
chaco.data_range_1d.
DataRange1D
(*datasources, **kwtraits)¶ Bases:
chaco.base_data_range.BaseDataRange
Represents a 1D data range.

bound_data
(data)¶ Returns a tuple of indices for the start and end of the first run of data that falls within the range.
Implements AbstractDataRange.

bounds_func
= Callable¶ A user supplied function returning the proper bounding interval. bounds_func takes (data_low, data_high, margin, tight_bounds) and returns (low, high)

clip_data
(data)¶ Returns a list of data values that are within the range.
Implements AbstractDataRange.

default_state
= Enum("auto", "high_track", "low_track")¶ Default tracking state. This value is used when self.reset() is called.
‘auto’: Both bounds reset to ‘auto’.
‘high_track’: The high bound resets to ‘track’, and the low bound resets to ‘auto’.
‘low_track’: The low bound resets to ‘track’, and the high bound resets to ‘auto’.

default_tracking_amount
= CFloat(20.0)¶ When either high or low tracks the other, track by this amount.

epsilon
= CFloat(1.0e10)¶ The minimum percentage difference between low and high. That is, (highlow) >= epsilon * low. Used to be 1.0e20 but chaco cannot plot at such a precision!

fit_to_subset
= Bool(False)¶ FIXME: this attribute is not used anywhere, is it safe to remove it? Is this range dependent upon another range?

high
= Property¶ The actual value of the upper bound of this range (overrides AbstractDataRange). To set it, use high_setting.

high_setting
= Property(Union(Constant("auto"), Constant("track"), CFloat))¶ Property for the upper bound of this range (overrides AbstractDataRange).
‘auto’: The upper bound is automatically set at or above the maximum of the data.
‘track’: The upper bound tracks the lower bound by tracking_amount.
CFloat: An explicit value for the upper bound

low
= Property¶ The actual value of the lower bound of this range (overrides AbstractDataRange). To set it, use low_setting.

low_setting
= Property(Union(Constant("auto"), Constant("track"), CFloat))¶ Property for the lower bound of this range (overrides AbstractDataRange).
‘auto’: The lower bound is automatically set at or below the minimum of the data.
‘track’: The lower bound tracks the upper bound by tracking_amount.
CFloat: An explicit value for the lower bound

margin
= Float(0.05)¶ The amount of margin to place on either side of the data, expressed as a percentage of the full data width

mask_data
(data)¶ Returns a mask array, indicating whether values in the given array are inside the range.
Implements AbstractDataRange.

refresh
(event=None)¶ If any of the bounds is ‘auto’, this method refreshes the actual low and high values from the set of the view filters’ data sources.

reset
()¶ Resets the bounds of this range, based on default_state.

scale_tracking_amount
(multiplier)¶ Sets the tracking_amount to a new value, scaled by multiplier.

set_bounds
(low, high)¶ Sets all the bounds of the range simultaneously.
Implements AbstractDataRange.

set_default_tracking_amount
(amount)¶ Sets the default_tracking_amount to a new value, amount.

set_tracking_amount
(amount)¶ Sets the tracking_amount to a new value, amount.

tight_bounds
= Bool(True)¶ Do “auto” bounds imply an exact fit to the data? If False, they pad a little bit of margin on either side.

tracking_amount
= default_tracking_amount¶ The current tracking amount. This value changes with zooming.


chaco.data_range_1d.
calc_bounds
(low_set, high_set, mins, maxes, epsilon, tight_bounds, margin=0.08, track_amount=0, bounds_func=None)¶ Calculates bounds for a given 1D set of data.
 Parameters
low_set ('auto', 'track', or number) – Current low setting
high_set ('auto', 'track', or number) – Current high setting
mins (list of numbers) – Potential minima.
maxes (list) – Potential maxima.
epsilon (number) – Minimum percentage difference between bounds
tight_bounds (Boolean) – Do ‘auto’ bounds imply an exact fit to the data? If False, they pad a little bit of margin on either side.
margin (float (default=0.08)) – The margin, expressed as a percentage of total data width, to place on either side of the data if tight_bounds is False.
track_amount (number) – The amount by which a ‘track’ bound tracks another bound.
bounds_func (Callable) – A callable which can override the bounds calculation.
 Returns
(min, max) for the new bounds. If either of the calculated bounds is NaN,
returns (0,0).
Description
———–
Setting both *low_set and high_set to ‘track’ is an invalid state;*
the method copes by setting *high_set to ‘auto’, and proceeding.*