@quartic/bokehjs
Version:
Interactive, novel data visualization
34 lines (33 loc) • 1.45 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var extend = function (child, parent) { for (var key in parent) {
if (hasProp.call(parent, key))
child[key] = parent[key];
} function ctor() { this.constructor = child; } ctor.prototype = parent.prototype; child.prototype = new ctor(); child.__super__ = parent.prototype; return child; }, hasProp = {}.hasOwnProperty;
var ticker_1 = require("./ticker");
var p = require("core/properties");
exports.ContinuousTicker = (function (superClass) {
extend(ContinuousTicker, superClass);
function ContinuousTicker() {
return ContinuousTicker.__super__.constructor.apply(this, arguments);
}
ContinuousTicker.prototype.type = 'ContinuousTicker';
ContinuousTicker.define({
num_minor_ticks: [p.Number, 5],
desired_num_ticks: [p.Number, 6]
});
ContinuousTicker.prototype.get_interval = void 0;
ContinuousTicker.prototype.get_min_interval = function () {
return this.min_interval;
};
ContinuousTicker.prototype.get_max_interval = function () {
var ref;
return (ref = this.max_interval) != null ? ref : 2e308;
};
ContinuousTicker.prototype.get_ideal_interval = function (data_low, data_high, desired_n_ticks) {
var data_range;
data_range = data_high - data_low;
return data_range / desired_n_ticks;
};
return ContinuousTicker;
})(ticker_1.Ticker);