scatter.py
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import itertools
from ... import options as opts
from ... import types
from ...charts.chart import RectChart
from ...globals import ChartType
class Scatter(RectChart):
"""
<<< Scatter >>>
The scatter diagram on the rectangular coordinate system can be used to
show the relationship between x and y of the data. If the data item has
multiple dimensions, it can be represented by color, and the
visualmap component can be used.
"""
def add_yaxis(
self,
series_name: str,
y_axis: types.Sequence,
*,
is_selected: bool = True,
xaxis_index: types.Optional[types.Numeric] = None,
yaxis_index: types.Optional[types.Numeric] = None,
color: types.Optional[str] = None,
symbol: types.Optional[str] = None,
symbol_size: types.Union[types.Numeric, types.Sequence] = 10,
symbol_rotate: types.Optional[types.Numeric] = None,
label_opts: types.Label = opts.LabelOpts(position="right"),
markpoint_opts: types.MarkPoint = None,
markline_opts: types.MarkLine = None,
tooltip_opts: types.Tooltip = None,
itemstyle_opts: types.ItemStyle = None,
encode: types.Union[types.JSFunc, dict, None] = None,
):
self._append_color(color)
self._append_legend(series_name, is_selected)
if len(y_axis) > 0 and isinstance(y_axis[0], types.Sequence):
data = [
list(itertools.chain(list([x]), y))
for x, y in zip(self._xaxis_data, y_axis)
]
elif self.options.get("dataset") is not None:
data = None
else:
data = [list(z) for z in zip(self._xaxis_data, y_axis)]
self.options.get("series").append(
{
"type": ChartType.SCATTER,
"name": series_name,
"xAxisIndex": xaxis_index,
"yAxisIndex": yaxis_index,
"symbol": symbol,
"symbolSize": symbol_size,
"symbolRotate": symbol_rotate,
"data": data,
"label": label_opts,
"markPoint": markpoint_opts,
"markLine": markline_opts,
"tooltip": tooltip_opts,
"itemStyle": itemstyle_opts,
"encode": encode,
}
)
return self