GitBook: [#198] Update API

Author: risenW

README.md

@@ -7,52 +7,62 @@ description: >-
 
 # Danfo.js Documentation
 
-D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.** 
+D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js. **
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
-* Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
+* Easy handling of missing** **data (represented as `NaN`) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
+* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
-* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) (CSV and delimited), Excel, and JSON data format.
+* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MESZnq3\_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's _main concepts and links to additional content.
 
-{% page-ref page="getting-started.md" %}
+{% content-ref url="getting-started.md" %}
+[getting-started.md](getting-started.md)
+{% endcontent-ref %}
 
 ## **API Reference**
 
 The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used. 
 
-{% page-ref page="api-reference/" %}
+{% content-ref url="api-reference/" %}
+[api-reference](api-reference/)
+{% endcontent-ref %}
 
 ## User Guides/Tutorials
 
-{% page-ref page="examples/" %}
+{% content-ref url="examples/" %}
+[examples](examples/)
+{% endcontent-ref %}
 
 ## Building Data Driven Applications with Danfo.js - Book
 
-{% page-ref page="building-data-driven-applications-with-danfo.js-book.md" %}
+{% content-ref url="building-data-driven-applications-with-danfo.js-book.md" %}
+[building-data-driven-applications-with-danfo.js-book.md](building-data-driven-applications-with-danfo.js-book.md)
+{% endcontent-ref %}
 
 ## Contributing Guide
 
 Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process. 
 
-{% page-ref page="contributing-guide.md" %}
+{% content-ref url="contributing-guide.md" %}
+[contributing-guide.md](contributing-guide.md)
+{% endcontent-ref %}
 
 ## Release Notes
 
-{% page-ref page="release-notes.md" %}
-
-
+{% content-ref url="release-notes.md" %}
+[release-notes.md](release-notes.md)
+{% endcontent-ref %}
 

SUMMARY.md

@@ -127,11 +127,9 @@
     * [DataFrame.reset_index](api-reference/dataframe/dataframe.reset_index.md)
     * [DataFrame.rename](api-reference/dataframe/dataframe.rename.md)
     * [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
-    * [DataFrame.unique](api-reference/dataframe/dataframe.nunique.md)
     * [DataFrame.astype](api-reference/dataframe/dataframe.astype.md)
     * [DataFrame.shape](api-reference/dataframe/dataframe.shape.md)
-    * [DataFrame.size](api-reference/dataframe/dataframe.size.md)
-    * [DataFrame.axes](api-reference/dataframe/dataframe.axes.md)
+    * [DataFrame.axis](api-reference/dataframe/dataframe.axes.md)
     * [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
     * [DataFrame.values](api-reference/dataframe/dataframe.values.md)
     * [DataFrame.select_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)

api-reference/README.md

@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
@@ -52,5 +52,3 @@ description: >-
   * [Function application](groupby/#function-application)
   * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
 
-
-

api-reference/configuration-options.md

@@ -8,12 +8,12 @@ description: >-
 
 On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
 
-| Parameter | Description |
-| :--- | :--- |
+| Parameter          | Description                                                                                                                                                                                                           |
+| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10 |
-| dtypeTestLim | **Number**, the total number of values to test when inferring data type. Defaults to 10 |
-| lowMemoryMode | **Boolean**, whether to use minimal memory or not. Defaults to false.  **Note:** There's a slight decrease in speed when low memory mode is set to true.  |
+| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
+| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
+| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
 
 > See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
 
@@ -119,11 +119,10 @@ const df = new DataFrame(data, {
 df.print()
 ```
 
-```text
+```
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ Name              │ Count             │ Price             ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 0          │ Apples            │ 21                │ 200               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
-