[docs] Migrate docs from AsciiDoc to Markdown (#762)

Co-authored-by: István Zoltán Szabó <[email protected]>
elastic · Feb 26, 2025 · ca64672 · ca64672
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diff --git a/docs/docset.yml b/docs/docset.yml
diff --git a/docs/guide/index.asciidoc b/docs/guide/index.asciidoc
diff --git a/docs/guide/installation.asciidoc b/docs/guide/installation.asciidoc
diff --git a/docs/guide/machine-learning.asciidoc b/docs/guide/machine-learning.asciidoc
diff --git a/docs/guide/dataframes.asciidoc → docs/reference/dataframes.md b/docs/guide/dataframes.asciidoc → docs/reference/dataframes.md
@@ -1,16 +1,16 @@
-[[dataframes]]
-== Data Frames
+---
+mapped_pages:
+  - https://www.elastic.co/guide/en/elasticsearch/client/eland/current/dataframes.html
+---
 
-`eland.DataFrame` wraps an Elasticsearch index in a Pandas-like API
-and defers all processing and filtering of data to Elasticsearch
-instead of your local machine. This means you can process large
-amounts of data within Elasticsearch from a Jupyter Notebook
-without overloading your machine.
+# Data Frames [dataframes]
 
-[source,python]
--------------------------------------
+`eland.DataFrame` wraps an Elasticsearch index in a Pandas-like API and defers all processing and filtering of data to Elasticsearch instead of your local machine. This means you can process large amounts of data within Elasticsearch from a Jupyter Notebook without overloading your machine.
+
+```python
 >>> import eland as ed
->>> # Connect to 'flights' index via localhost Elasticsearch node
+>>>
+# Connect to 'flights' index via localhost Elasticsearch node
 >>> df = ed.DataFrame('http://localhost:9200', 'flights')
 
 # eland.DataFrame instance has the same API as pandas.DataFrame
@@ -29,14 +29,14 @@ without overloading your machine.
 <class 'eland.dataframe.DataFrame'>
 Index: 13059 entries, 0 to 13058
 Data columns (total 27 columns):
- #   Column              Non-Null Count  Dtype         
----  ------              --------------  -----         
- 0   AvgTicketPrice      13059 non-null  float64       
- 1   Cancelled           13059 non-null  bool          
- 2   Carrier             13059 non-null  object        
-...      
- 24  OriginWeather       13059 non-null  object        
- 25  dayOfWeek           13059 non-null  int64         
+ #   Column              Non-Null Count  Dtype
+---  ------              --------------  -----
+ 0   AvgTicketPrice      13059 non-null  float64
+ 1   Cancelled           13059 non-null  bool
+ 2   Carrier             13059 non-null  object
+...
+ 24  OriginWeather       13059 non-null  object
+ 25  dayOfWeek           13059 non-null  int64
  26  timestamp           13059 non-null  datetime64[ns]
 dtypes: bool(2), datetime64[ns](1), float64(5), int64(2), object(17)
 memory usage: 80.0 bytes
@@ -59,4 +59,5 @@ Elasticsearch storage usage: 5.043 MB
 sum        9.261629e+07    8.204365e+06
 min        0.000000e+00    1.000205e+02
 std        4.578263e+03    2.663867e+02
--------------------------------------
+```
+