From bebc9178c21abe80bb25edcce9e507b9955efbbb Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Wed, 22 Apr 2026 13:29:05 -0400 Subject: [PATCH] =?UTF-8?q?Revert=20"docs:=20concatenate=20and=20merge=20o?= =?UTF-8?q?ptions=20for=20dataframe=20operations=20componen=E2=80=A6"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This reverts commit 0202cb9a1571e7d46e9f6fda215ae5f352eccbcc. --- docs/docs/Components/dataframe-operations.mdx | 25 ------------------- .../Components/dataframe-operations.mdx | 25 ------------------- 2 files changed, 50 deletions(-) diff --git a/docs/docs/Components/dataframe-operations.mdx b/docs/docs/Components/dataframe-operations.mdx index 3710b34827..024c188eb8 100644 --- a/docs/docs/Components/dataframe-operations.mdx +++ b/docs/docs/Components/dataframe-operations.mdx @@ -109,16 +109,6 @@ The **Add Column** operation allows you to add a new column to the `Table` with The parameters are **New Column Name** (`new_column_name`) and **New Column Value** (`new_column_value`). - - - -The **Concatenate** operation combines multiple input `Table` objects into a single `Table` by stacking their rows vertically. -For example, if you have Table A and Table B, they are combined into one table with all rows from Table A, and then all rows from Table B. - -This operation uses the **Table** (`df`) input. -Connect multiple `Table` outputs to the same input to concatenate them. -The output is a single `Table` containing the combined rows from all connected inputs. - @@ -144,21 +134,6 @@ The default is `5`. The output is a `Table` containing only the selected rows. - - - -The **Merge** operation combines two input `Table` objects by matching rows that share the same value in a selected column. -For example, if one table has `id` and `name`, and another has `id` and `department`, you can merge both tables on `id` to produce one table with `id`, `name`, and `department`. - -Provide the following parameters: - -* **Left Table** (`left_dataframe`): The primary table in the merge. -* **Right Table** (`right_dataframe`): The secondary table in the merge. -* **Merge On Column** (`merge_on_column`): The shared column used to match rows. This column must exist in both tables. -* **Merge Type** (`merge_how`): Controls which matched and unmatched rows are kept in the output. Use `inner` to keep only matching rows, `left` to keep all rows from the left table, `right` to keep all rows from the right table, or `outer` to keep all rows from both tables. - -The output is a `Table` containing matched records from both inputs. - diff --git a/docs/versioned_docs/version-1.9.0/Components/dataframe-operations.mdx b/docs/versioned_docs/version-1.9.0/Components/dataframe-operations.mdx index 4599f24231..024c188eb8 100644 --- a/docs/versioned_docs/version-1.9.0/Components/dataframe-operations.mdx +++ b/docs/versioned_docs/version-1.9.0/Components/dataframe-operations.mdx @@ -109,16 +109,6 @@ The **Add Column** operation allows you to add a new column to the `Table` with The parameters are **New Column Name** (`new_column_name`) and **New Column Value** (`new_column_value`). - - - -The **Concatenate** operation combines multiple input `Table` objects into a single `Table` by stacking their rows vertically. -For example, if you have Table A, and Table B, they are combined into one table with all rows from Table A, and then all rows from Table B. - -This operation uses the **Table** (`df`) input. -Connect multiple `Table` outputs to the same input to concatenate them. -The output is a single `Table` containing the combined rows from all connected inputs. - @@ -144,21 +134,6 @@ The default is `5`. The output is a `Table` containing only the selected rows. - - - -The **Merge** operation combines two input `Table` objects by matching rows that share the same value in a selected column. -For example, if one table has `id` and `name`, and another has `id` and `department`, you can merge both tables on `id` to produce one table with `id`, `name`, and `department`. - -Provide the following parameters: - -* **Left Table** (`left_dataframe`): The primary table in the merge. -* **Right Table** (`right_dataframe`): The secondary table in the merge. -* **Merge On Column** (`merge_on_column`): The shared column used to match rows. This column must exist in both tables. -* **Merge Type** (`merge_how`): Controls which matched and unmatched rows are kept in the output. Use `inner` to keep only matching rows, `left` to keep all rows from the left table, `right` to keep all rows from the right table, or `outer` to keep all rows from both tables. - -The output is a `Table` containing matched records from both inputs. -