Xytext = self.offsets, textcoords = 'offset points', va = 'bottom',īoxstyle='round,pad=0.5', fc='yellow', alpha=0.75),Īrrowstyle='->', connectionstyle='arc3,rad=0')) X, y = inv.transform().ravel()Īt_text(self.formatter(x, y)) # event.inaxes is always the current axis. ee = spatial.cKDTree(self.scaled(self._points)) Self.scale = y.ptp() / self.scale if self.scale else 1 X = np.asarray(mdates.date2num(x), dtype='float') """Display the x,y location of the nearest data point.ĭef _init_(self, ax, x, y, tolerance=5, formatter=fmt, offsets=(-20, 20)): With the FollowDotCursor the data coordinate displayed is always a point in the underlying data which is nearest the mouse. With the DataCursor the data coordinates displayed are where the user clicks - which might not be exactly the same coordinates as the underlying data. Here is a derivative example ( FollowDotCursor) which highlights and annotates data points when a user hovers the mouse over a point. Joe Kington has written a wonderful example ( DataCursor) of how to add an annotation displaying the data coordinates when a user clicks on on artist (such as a scatter plot). Later, in response to user clicks, you could then use dot.set_offsets((x, y)) to change the location of the dot. This can help improve the readability of your visualization when your data appears in high-density groupings.If what you are really after is highlighting the point selected by the user, then you could superimpose another dot (with dot = ax.scatter(.)) on top of the point selected. The Cluster Points option lets you group many data values into blocks. Note: The Swap X and Y option is not available when the Cluster Points option has been enabled.Ĭluster Points Note: New in Looker 22.20, you can use the Cluster Points option to combine large numbers of data points into larger blocks of data. When swapped, dimensions are plotted on the y-axis, and measures are plotted on the x-axis. You can toggle whether the x and y axes swap from the normal configuration. This parameter is only available when Series Positioning is Overlay. When toggled off, sections of line and area charts may show gaps. When toggled on, null values are plotted at zero. You can toggle the appearance of null values on the chart. When used with dashboards, grid layout becomes responsive to the dashboard tile size and shape, if Number of Charts per Row is not set. If you do not input a number, Looker arranges the charts as evenly as possible. When you select By Pivot or By Row from the drop-down menu, the Number of Charts per Row option appears. If you have more than 12 rows or pivots, limit your data by using the Row Limit, Column Limit, or Limit Displayed Rows options. You can separate a chart into a maximum of 12 smaller charts. You can separate, or trellis, a chart into several smaller charts, each representing a single row or pivot from the results table. For additional precision, increase the Value Format decimal places. Stacked Percentage: Series values are presented as percentages stacked on the y-axis, where all values add up to between 99% and 101%.Be sure that the units of all series match. Stacked: Series values are added on the y-axis, so that each consecutive series appears above the last.Overlay: For scatterplot, line, and area charts.Not all of the options below apply to all chart types: You can specify how series are clustered visually on a chart. Options listed below may be grayed out or hidden in situations where they conflict with other settings that you have chosen. Select the Edit option in the upper right corner of the Visualization bar to format your visualization. This page describes the options for editing scatterplot charts in the visualization menu. Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry Observe and troubleshoot a Looker (Google Cloud core) instance
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