tensorwatch/mpl/line_plot.py [133:165]:
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            ann, txt, clr = None, None, None

            # if val turns out to be array-like, extract x,y
            val_l = utils.is_scaler_array(val)
            if val_l >= 0:
                if self.is_3d:
                    x, y, z, low, high, ann, txt, clr = unpacker(*val)
                else:
                    x, y, low, high, ann, txt, clr, _ = unpacker(*val)
            elif isinstance(val, PointData):
                x, y, z, low, high, ann, txt, clr = val.x, val.y, val.z, \
                    val.low, val.high, val.annotation, val.text, val.color
            else:
                y = val

            if ann is not None:
                ann = str(ann)
            if txt is not None:
                txt = str(txt)

            xdata.append(x)
            ydata.append(y)
            zdata.append(z)
            if low is not None:
                lows.append(low)
            if high is not None:
                highs.append(high)
            if txt is not None:
                txtdata.append(txt)
            if clr is not None:
                clrdata.append(clr)
            if ann: #TODO: yref should be y2 for different y axis
                anndata.append(dict(x=x, y=y, xref='x', yref='y', text=ann, showarrow=False))
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tensorwatch/plotly/line_plot.py [114:146]:
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            ann, txt, clr = None, None, None

            # if val turns out to be array-like, extract x,y
            val_l = utils.is_scaler_array(val)
            if val_l >= 0:
                if self.is_3d:
                    x, y, z, low, high, ann, txt, clr = unpacker(*val)
                else:
                    x, y, low, high, ann, txt, clr, _ = unpacker(*val)
            elif isinstance(val, PointData):
                x, y, z, low, high, ann, txt, clr = val.x, val.y, val.z, \
                    val.low, val.high, val.annotation, val.text, val.color
            else:
                y = val

            if ann is not None:
                ann = str(ann)
            if txt is not None:
                txt = str(txt)

            xdata.append(x)
            ydata.append(y)
            zdata.append(z)
            if low is not None:
                lows.append(low)
            if high is not None:
                highs.append(high)
            if txt is not None:
                txtdata.append(txt)
            if clr is not None:
                clrdata.append(clr)
            if ann: #TODO: yref should be y2 for different y axis
                anndata.append(dict(x=x, y=y, xref='x', yref='y', text=ann, showarrow=False))
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