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‎SUMMARY.md

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* [Series.tail](api-reference/series/series.tail.md)
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* [Series.head](api-reference/series/series.head.md)
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* [Dataframe](api-reference/dataframe/README.md)
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* [DataFrame.tensor](api-reference/dataframe/dataframe.tensor.md)
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* [DataFrame.rename](api-reference/dataframe/dataframe.rename-1.md)
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* [DataFrame.print](api-reference/dataframe/dataframe.print.md)
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* [DataFrame.to\_table](api-reference/dataframe/dataframe.to_table.md)
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* [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
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* [DataFrame.nunique](api-reference/dataframe/dataframe.nunique.md)
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* [DataFrame.corr](api-reference/dataframe/dataframe.corr.md)
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* [DataFrame.lt](api-reference/dataframe/dataframe.lt.md)
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* [DataFrame.astype](api-reference/dataframe/dataframe.astype.md)
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* [DataFrame.shape](api-reference/dataframe/dataframe.shape.md)
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* [DataFrame.size](api-reference/dataframe/dataframe.size.md)
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* [DataFrame.axes](api-reference/dataframe/dataframe.axes.md)
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* [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
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* [DataFrame.values](api-reference/dataframe/dataframe.values.md)
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* [DataFrame.select\_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)
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* [DataFrame.dtypes](api-reference/dataframe/dataframe.dtypes.md)
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* [DataFrame.ctypes](api-reference/dataframe/dataframe.dtypes.md)
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* [DataFrame.index](api-reference/dataframe/dataframe.index.md)
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* [DataFrame.loc](api-reference/dataframe/danfo.dataframe.loc.md)
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* [DataFrame.iloc](api-reference/dataframe/danfo.dataframe.iloc.md)

‎api-reference/dataframe/README.md

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| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise \(binary operator truediv\). |
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| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise \(binary operator mod\). |
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| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise \(binary operator pow\). |
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| [`DataFrame.lt`](dataframe.lt.md) | Get Less than of dataframe and other, element-wise \(binary operator lt\). |
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| [`DataFrame.lt`]() | Get Less than of dataframe and other, element-wise \(binary operator lt\). |
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| [`DataFrame.gt`](danfo.dataframe.gt.md) | Get Greater than of dataframe and other, element-wise \(binary operator gt\). |
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| [`DataFrame.le`](danfo.dataframe.le.md) | Get Less than or equal to of dataframe and other, element-wise \(binary operator le\). |
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| [`DataFrame.ge`]() | Get Greater than or equal to of dataframe and other, element-wise \(binary operator ge\). |

‎api-reference/dataframe/danfo.dataframe.iloc.md

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* A list or array of integers, e.g. `[4, 3, 0]`.
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* A string slice object with ints, e.g. `"1:7"`
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_**Note:** both the start and the stop labels are included._
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`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
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### **Indexing specific rows by index and return all columns**

‎api-reference/dataframe/danfo.dataframe.loc.md

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‎api-reference/dataframe/dataframe.astype.md

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‎api-reference/dataframe/dataframe.axes.md

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---
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description: >-
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Return an Object containing the axes of the DataFrame. It has the row axis
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labels and column axis labels as the only members. They are returned in that
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order.
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---
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# DataFrame.axes
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3-
axes
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danfo.DataFrame.**axes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
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**Returns:**
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****return **Object**
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## **Examples**
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]}]
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let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
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console.log(df.axes)
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
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```
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{% endtab %}
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{% endtabs %}
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‎api-reference/dataframe/dataframe.dtypes.md

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# DataFrame.dtypes
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---
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description: >-
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Return the inferred column types in the DataFrame. This returns a Series with
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the data type of each column. The result’s index is the original DataFrame’s
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columns.
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---
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# DataFrame.ctypes
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danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)\]
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**Returns:**
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****return **Series**
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## **Examples**
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Returns auto-generated ****index of a ****DataFrame
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]}]
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let df = new dfd.DataFrame(data)
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df.ctypes.print()
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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╔═══╤══════════════════════╗
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║ │ 0 ║
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╟───┼──────────────────────╢
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║ A │ float32 ║
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╟───┼──────────────────────╢
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║ B │ int32 ║
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╟───┼──────────────────────╢
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║ C │ int32 ║
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╚═══╧══════════════════════╝
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```
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{% endtab %}
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{% endtabs %}
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Columns with mixed types are represented as **string.**
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]},
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{"D": ["a", "b", 20, 2.5]}]
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let df = new dfd.DataFrame(data)
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df.ctypes.print()
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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╔═══╤══════════════════════╗
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║ │ 0 ║
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╟───┼──────────────────────╢
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║ A │ float32 ║
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╟───┼──────────────────────╢
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║ B │ int32 ║
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╟───┼──────────────────────╢
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║ C │ int32 ║
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╟───┼──────────────────────╢
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║ D │ string ║
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╚═══╧══════════════════════╝
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```
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{% endtab %}
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{% endtabs %}
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**Note**: To cast a type, use the [astype](dataframe.astype.md) method.
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‎api-reference/dataframe/dataframe.index.md

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---
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description: The index (row labels) of the DataFrame.
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---
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# DataFrame.index
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danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)\]
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**Returns:**
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****return **new DataFrame**
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## **Examples**
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Returns auto-generated ****index of a ****DataFrame
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]}]
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let df = new dfd.DataFrame(data)
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console.log(df.index);
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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[0, 1, 2, 3]
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```
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{% endtab %}
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{% endtabs %}
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Returns set ****index of a ****DataFrame
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]}]
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let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
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console.log(df.index);
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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[ 'r1', 'r2', 'r3', 'r4' ]
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```
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{% endtab %}
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{% endtabs %}
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‎api-reference/dataframe/dataframe.lt.md

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‎api-reference/dataframe/dataframe.ndim.md

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---
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description: >-
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Return an int representing the number of axes / array dimensions. Returns 1 if
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Series. Otherwise return 2 for DataFrame.
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---
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# DataFrame.ndim
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danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
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**Returns:**
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****return **Int**
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**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
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## **Examples**
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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const dfd = require("danfojs")
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let data = [{"A": [-20.1, 30, 47.3, -20]},
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{"B": [34, -4, 5, 6]},
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{"C": [20, -20, 30, -40]}]
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let df = new dfd.DataFrame(data)
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console.log(df.ndim)
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```
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{% endtab %}
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{% tab title="Browser" %}
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```
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```
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{% endtab %}
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{% endtabs %}
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{% tabs %}
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{% tab title="Output" %}
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```text
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2
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```
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{% endtab %}
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{% endtabs %}
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