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Update generated sources with recent changes
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@actions-user
actions-user committed Aug 16, 2024
1 parent 9a41a01 commit c2bc888
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82 changes: 41 additions & 41 deletions docs/StardustDocs/snippets/org.jetbrains.kotlinx.dataframe.samples.api.Access.byRow.html
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Expand Up @@ -176,66 +176,66 @@
</style>
</head>
<body>
<details>
<summary>df.df[0].name</summary>
<details>
<summary>df.df[0].name</summary>
<details>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_0"></table>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_0"></table>

<p class="dataframe_description"></p>
</details>
<details>
<summary>Step 1: DataRow</summary>
<table class="dataframe" id="df_1"></table>
</details>
<details>
<summary>Step 1: DataRow</summary>
<table class="dataframe" id="df_1"></table>

<p class="dataframe_description"></p>
</details>
<details>
<summary>Output DataRow</summary>
<table class="dataframe" id="df_2"></table>
</details>
<details>
<summary>Output DataRow</summary>
<table class="dataframe" id="df_2"></table>

<p class="dataframe_description"></p>
</details>
</details>
<br>
<details>
<summary>df.df[3, 5, 6].select { name and age }</summary>
</details>
</details>
<br>
<details>
<summary>df.df[3, 5, 6].select { name and age }</summary>
<details>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_3"></table>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_3"></table>

<p class="dataframe_description"></p>
</details>
<details>
<summary>Step 1: DataFrame: rowsCount = 3, columnsCount = 5</summary>
<table class="dataframe" id="df_4"></table>
</details>
<details>
<summary>Step 1: DataFrame: rowsCount = 3, columnsCount = 5</summary>
<table class="dataframe" id="df_4"></table>

<p class="dataframe_description"></p>
</details>
<details>
<summary>Output DataFrame: rowsCount = 3, columnsCount = 2</summary>
<table class="dataframe" id="df_5"></table>
</details>
<details>
<summary>Output DataFrame: rowsCount = 3, columnsCount = 2</summary>
<table class="dataframe" id="df_5"></table>

<p class="dataframe_description"></p>
</details>
</details>
<br>
<details>
<summary>df.df[3..5]</summary>
</details>
</details>
<br>
<details>
<summary>df.df[3..5]</summary>
<details>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_6"></table>
<summary>Input DataFrame: rowsCount = 7, columnsCount = 5</summary>
<table class="dataframe" id="df_6"></table>

<p class="dataframe_description"></p>
</details>
<details>
<summary>Output DataFrame: rowsCount = 3, columnsCount = 5</summary>
<table class="dataframe" id="df_7"></table>
</details>
<details>
<summary>Output DataFrame: rowsCount = 3, columnsCount = 5</summary>
<table class="dataframe" id="df_7"></table>

<p class="dataframe_description"></p>
</details>
</details>
<br>
</details>
</details>
<br>
</body>
<script>
(function () {
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