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51 lines
2.4 KiB
Python
51 lines
2.4 KiB
Python
import _plotly_utils.basevalidators
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class YbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="ybins", parent_name="histogram2d", **kwargs):
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super(YbinsValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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data_class_str=kwargs.pop("data_class_str", "YBins"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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end
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Sets the end value for the y axis bins. The
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last bin may not end exactly at this value, we
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increment the bin edge by `size` from `start`
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until we reach or exceed `end`. Defaults to the
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maximum data value. Like `start`, for dates use
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a date string, and for category data `end` is
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based on the category serial numbers.
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size
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Sets the size of each y axis bin. Default
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behavior: If `nbinsy` is 0 or omitted, we
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choose a nice round bin size such that the
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number of bins is about the same as the typical
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number of samples in each bin. If `nbinsy` is
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provided, we choose a nice round bin size
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giving no more than that many bins. For date
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data, use milliseconds or "M<n>" for months, as
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in `axis.dtick`. For category data, the number
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of categories to bin together (always defaults
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to 1).
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start
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Sets the starting value for the y axis bins.
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Defaults to the minimum data value, shifted
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down if necessary to make nice round values and
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to remove ambiguous bin edges. For example, if
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most of the data is integers we shift the bin
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edges 0.5 down, so a `size` of 5 would have a
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default `start` of -0.5, so it is clear that
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0-4 are in the first bin, 5-9 in the second,
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but continuous data gets a start of 0 and bins
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[0,5), [5,10) etc. Dates behave similarly, and
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`start` should be a date string. For category
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data, `start` is based on the category serial
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numbers, and defaults to -0.5.
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""",
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),
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**kwargs,
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)
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