Revert "[v9.4.x] [feat] docs; update admonition syntax" (#68982)

Revert "[v9.4.x] [feat] docs; update admonition syntax (#68855)"

This reverts commit 048de5d09a.

docs/sources/panels-visualizations/query-transform-data/expression-queries/index.md

@@ -21,15 +21,11 @@ Server-side expressions allow you to manipulate data returned from queries with
 
 Expressions are primarily used by [Grafana Alerting]({{< relref "../../../alerting/" >}}). The processing is done server-side, so expressions can operate without a browser session. However, expressions can also be used with backend data sources and visualization.
 
-{{% admonition type="note" %}}
-Expressions do not work with legacy dashboard alerts.
-{{% /admonition %}}
+> **Note:** Expressions do not work with legacy dashboard alerts.
 
 Expressions are meant to augment data sources by enabling queries from different data sources to be combined or by providing operations unavailable in a data source.
 
-{{% admonition type="note" %}}
-When possible, you should do data processing inside the data source. Copying data from storage to the Grafana server for processing is inefficient, so expressions are targeted at lightweight data processing.
-{{% /admonition %}}
+> **Note:** When possible, you should do data processing inside the data source. Copying data from storage to the Grafana server for processing is inefficient, so expressions are targeted at lightweight data processing.
 
 Expressions work with data source queries that return time series or number data. They also operate on [multiple-dimensional data]({{< relref "../../../fundamentals/timeseries-dimensions/" >}}). For example, a query that returns multiple series, where each series is identified by labels or tags.
 
@@ -115,9 +111,7 @@ abs returns the absolute value of its argument which can be a number or a series
 
 is_inf takes a number or a series and returns `1` for `Inf` values (negative or positive) and `0` for other values. For example `is_inf($A)`.
 
-{{% admonition type="note" %}}
-If you need to specifically check for negative infinity for example, you can do a comparison like `$A == infn()`.
-{{% /admonition %}}
+> **Note:** If you need to specifically check for negative infinity for example, you can do a comparison like `$A == infn()`.
 
 ###### is_nan
 

docs/sources/panels-visualizations/query-transform-data/transform-data/index.md

@@ -47,8 +47,7 @@ The order in which Grafana applies transformations directly impacts the results.
 The following steps guide you in adding a transformation to data. This documentation does not include steps for each type of transformation. For a complete list of transformations, refer to [Transformation functions]({{< relref "#transformation-functions" >}}).
 
 1. Navigate to the panel where you want to add one or more transformations.
-1. Hover over any part of the panel to display the actions menu on the top right corner.
-1. Click the menu and select **Edit**.
+1. Click the panel title and then click **Edit**.
 1. Click the **Transform** tab.
 1. Click a transformation.
    A transformation row appears where you configure the transformation options. For more information about how to configure a transformation, refer to [Transformation functions]({{< relref "#transformation-functions" >}}).
@@ -90,7 +89,6 @@ Use this transformation to add a new field calculated from two other fields. Eac
 - **Mode -** Select a mode:
   - **Reduce row -** Apply selected calculation on each row of selected fields independently.
   - **Binary option -** Apply basic math operation(sum, multiply, etc) on values in a single row from two selected fields.
-  - **Index -** Will insert a field with the row index.
 - **Field name -** Select the names of fields you want to use in the calculation for the new field.
 - **Calculation -** If you select **Reduce row** mode, then the **Calculation** field appears. Click in the field to see a list of calculation choices you can use to create the new field. For information about available calculations, refer to [Calculation types]({{< relref "../../calculation-types" >}}).
 - **Operation -** If you select **Binary option** mode, then the **Operation** fields appear. These fields allow you to do basic math operations on values in a single row from two selected fields. You can also use numerical values for binary operations.
@@ -200,9 +198,7 @@ In the example below, the panel has three queries (A, B, C). I removed the B que
 
 {{< figure src="/static/img/docs/transformations/filter-by-query-stat-example-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-{{% admonition type="note" %}}
-This transformation is not available for Graphite because this data source does not support correlating returned data with queries.
-{{% /admonition %}}
+> **Note:** This transformation is not available for Graphite because this data source does not support correlating returned data with queries.
 
 ### Filter data by value
 
@@ -492,9 +488,7 @@ Here is the result after applying the Merge transformation.
 
 Use this transformation to rename, reorder, or hide fields returned by the query.
 
-{{% admonition type="note" %}}
-This transformation only works in panels with a single query. If your panel has multiple queries, then you must either apply an Outer join transformation or remove the extra queries.
-{{% /admonition %}}
+> **Note:** This transformation only works in panels with a single query. If your panel has multiple queries, then you must either apply an Outer join transformation or remove the extra queries.
 
 Grafana displays a list of fields returned by the query. You can:
 
@@ -665,9 +659,7 @@ As you can see each row in the source data becomes a separate field. Each field
 
 ### Prepare time series
 
-{{% admonition type="note" %}}
-This transformation is available in Grafana 7.5.10+ and Grafana 8.0.6+.
-{{% /admonition %}}
+> **Note:** This transformation is available in Grafana 7.5.10+ and Grafana 8.0.6+.
 
 Prepare time series transformation is useful when a data source returns time series data in a format that isn't supported by the panel you want to use. For more information about data frame formats, refer to [Data frames]({{< relref "../../../developers/plugins/data-frames/" >}}).
 
@@ -679,9 +671,7 @@ Select the `Wide time series` option to transform the time series data frame fro
 
 ### Series to rows
 
-{{% admonition type="note" %}}
-This transformation is available in Grafana 7.1+.
-{{% /admonition %}}
+> **Note:** This transformation is available in Grafana 7.1+.
 
 Use this transformation to combine the result from multiple time series data queries into one single result. This is helpful when using the table panel visualization.
 
@@ -742,11 +732,3 @@ Here is the result after adding a Limit transformation with a value of '3':
 | 2020-07-07 11:34:20 | Temperature | 25    |
 | 2020-07-07 11:34:20 | Humidity    | 22    |
 | 2020-07-07 10:32:20 | Humidity    | 29    |
-
-### Time series to table transform
-
-{{% admonition type="note" %}}
-This transformation is available in Grafana 9.5+ as an opt-in beta feature. Modify Grafana [configuration file]({{< relref "../../../setup-grafana/configure-grafana/#configuration-file-location" >}}) to enable the `timeSeriesTable` [feature toggle]({{< relref "../../../setup-grafana/configure-grafana/#feature_toggles" >}}) to use it.
-{{% /admonition %}}
-
-Use this transformation to convert time series result into a table, converting time series data frame into a "Trend" field. "Trend" field can then be rendered using [sparkline cell type]({{< relref "../../visualizations/table/#sparkline" >}}), producing an inline sparkline for each table row. If there are multiple time series queries, each will result in a separate table data frame. These can be joined using join or merge transforms to produce a single table with multiple sparklines per row.