GitBook: [#222] No subject

Author: risenW

api-reference/dataframe/dataframe.sort_values.md

@@ -6,10 +6,10 @@ description: Sort a Dataframe in ascending or descending order by a specified co
 
 danfo.DataFrame.**sortValues**(by, options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                                                                                  |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
-| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                               |                                                                                          |
-| options    | Object | <p>Optional configuratio<strong>n:</strong></p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                                                                                  |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
+| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                                                                |                                                                                          |
+| options    | Object | <p>Optional configuratio<strong>n:</strong> </p><p><strong></strong></p><p><strong>ascending:</strong> Order of sorting </p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
 
 ## **Examples**
 
@@ -86,9 +86,9 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 47.3              │ 6                 │ 30                ║
+║ 0          │ -20               │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ -20               │ 34                │ 20                ║
+║ 2          │ 47.3              │ 6                 │ 30                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 1          │ 30                │ 5                 │ 3                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝

api-reference/input-output/danfo.to_excel.md

@@ -6,7 +6,7 @@ description: >-
 
 # danfo.toExcel
 
-> danfo.**toExcel**(data, options) 
+> danfo.**toExcel**(data, options)
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                                                                  |
 | -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
@@ -17,7 +17,7 @@ The **toExcel** function can be used to write out a DataFrame or Series to Excel
 
 ### Convert DataFrame to Excel and write to file path
 
-Writing an Excel file to a local file path is only supported in the Nodejs environment
+You can write a DataFrame or Series in Excel format using the toExcel function and specifying the file path. 
 
 {% tabs %}
 {% tab title="Node.js" %}
@@ -39,7 +39,7 @@ dfd.toExcel(df, { filePath: "testOut.xlsx"});
 
 ### Convert DataFrame to Excel and download the file in Client-side lib
 
-You can automatically convert and download an Excel file in a browser environment, by specifying a filename and setting download to `true`
+You can automatically convert and download an Excel file in a browser environment, by specifying a filename. This will open a download window. 
 
 ```javascript
 let data = {
@@ -50,5 +50,5 @@ let data = {
 
 let df = new DataFrame(data);
 
-dfd.toExcel(df, { fileName: "testOut.xlsx", download: true});
+dfd.toExcel(df, { fileName: "testOut.xlsx"});
 ```