In this Python Pandas tutorial, we will learn how to **Convert Pandas DataFrame to NumPy Array** in Python. Also, we will cover these topics.

- Convert Pandas DataFrame to NumPy Array Without Header
- Convert Pandas DataFrame to NumPy Array Without Index
- Convert Pandas DataFrame to NumPy Array
- Convert Pandas Series to NumPy Array
- Convert Pandas DataFrame to 3d NumPy Array
- Convert Pandas DataFrame to 2d NumPy Array
- Convert Pandas DataFrame to NumPy Matrix

We have used Steam Player Data that is downloaded from Kaggle.

## Convert Pandas DataFrame to NumPy Array Without Header

In this section, we will learn how to **convert pandas dataframe to Numpy array without header in Python**.

- using
**dataframe.to_numpy()**method we can convert any dataframe to a numpy array. - Numpy array generated after this method do not have headers by default.
- Though the header is not visible but it can be called by referring to the array name. Array name will be the column names like ‘Month_Year’, ‘Gain’, ‘URL’, etc in ths case.
- Here is the implementation on Jupyter Notebook.

Read: How to Find Duplicates in Python DataFrame

## Convert Pandas DataFrame to NumPy Array Without Index

In this section, we will learn how to convert a dataframe t a Numpy array without an Index in Python.

- Using
**dataframe.to_records(index=False)**we can convert pandas dataframe to Numpy array without index. - In our implementation on Jupyter Notebook we have demonstrated both with and without index so that you can mark the difference.
- In case you still have doubt, please try after changing the index column.

Read: Count Rows in Pandas DataFrame

## Convert Pandas DataFrame to NumPy Array

In this section, we will learn how to convert pandas dataframe to Python Numpy array.

- Numpy array is a grid values having same data types.
- Using
**dataframe.to_numpy()**method we can convert pandas dataframe to Numpy array. - Here is the implementation on Jupyter Notebook.

Read: Python Pandas DataFrame Iterrows

## Convert Pandas Series to NumPy Array

In this section, we will learn how to convert series to Numpy array in Python.

- Series is a one dimensional array with unique lables.
- using
**series.to_numpy()**method in Python Pandas we can convert pandas series to Numpy array. - In our implementation on Jupyter Notebook we have created a simple series and then convert it into a Numpy array.

Read: Get index Pandas Python

## Convert Pandas DataFrame to 3D NumPy Array

In this section, we will learn how to **convert Pandas dataframe to 3D Numpy array in Python**.

- Pandas dataframe can be converted to numpy using method
**dataframe.to_numpy()**but this won’t be sufficient. - To covert dataframe to 3D Numpy array we have to use addition method
**reshape()**with`dataframe.to_numpy()`

method. - So the complete statement to convert pandas dataframe to 3d numpy array would be:

`dataframe.to_numpy().reshape(2, 3, 4)`

- Thing to understand here is that the size of array must the multiplication of 3 numbers that are provided inside the reshape.
- For example, right now value inside reshape is 2 x 3 x 4 = 24, so the the size of array must be 24 in this case.
- But the example we have used is a real dataset downloaded by kaggle. It has 42168 array size. Now the 3 numbers should be such that if multiplied together then it should be 42168.
- So we have taken reshape(7028, 3, 2), which ultimately becomes 7028 x 3 x 3 = 42168. Hence, condition is satisfied and our 3D numpy array is formed.
- Here is the implementation on Jupyter Notebook. Please read comments to understand every step.

Read: Python Pandas Write DataFrame to Excel

## Convert Pandas DataFrame to 2D NumPy Array

In this section, we will learn how to **convert pandas dataframe to 2D Numpy array in Python**.

- We have seen multiple examples of 2D Numpy array in our this tutorial.
- Any array with two dimensions is a 2D Numpy array.
- Using
**dataframe.to_numpy()**we can convert any dataframe to 2D Numpy array. - Here is the implementation on Jupyter Notebook.

Read: Python DataFrame to CSV

## Convert Pandas DataFrame to NumPy Matrix

Let us see, how to **convert pandas dataframe to Numpy matrix in Python**.

- A two-dimensional rectangular array to store data in rows and columns is called python matrix.
- Matrix is a Numpy array to store data in rows and columns.
- Using
**dataframe.to_numpy()**method we can convert dataframe to Numpy Matrix. - Apart from this, using
**dataframe.values**we can convert the dataframe to Numpy Matrix in Python Pandas. - Earier there use to be a method
`dataframe.as_matrix()`

using which dataframe is converted to Numpy matrix but now it is depreciated and inplace of that`dataframe.values`

is used.

You may also like to read the following tutorials.

- How to Set Column as Index in Python Pandas
- Pandas replace nan with 0
- How to Add a Column to a DataFrame in Python Pandas
- Check If DataFrame is Empty in Python Pandas
- Add row to Dataframe Python Pandas
- Convert Integers to Datetime in Pandas

In this tutorial, we have learned how to **convert Pandas DataFrame to NumPy Array** in Python. Also, we have covered these topics.

- Convert Pandas DataFrame to NumPy Array Without Header
- Convert Pandas DataFrame to NumPy Array Without Index
- Convert Pandas DataFrame to NumPy Array
- Convert Pandas Series to NumPy Array
- Convert Pandas DataFramee to 3d NumPy Array
- Convert Pandas DataFrame to 2d NumPy Array
- Convert Pandas DataFrame to NumPy Matrix

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