﻿ NumPy: Convert Pandas dataframe to Numpy array with headers - w3resource # NumPy: Convert Pandas dataframe to Numpy array with headers

## NumPy: Array Object Exercise-168 with Solution

Write a NumPy program to convert Pandas dataframe to Numpy array with headers.

Sample Solution:

Python Code:

``````import numpy as np
import pandas as pd
np_array = np.random.rand(12,3)
print("Original Numpy array:")
print(np_array)
print("Type: ",type(np_array))
df = pd.DataFrame(np.random.rand(12,3),columns=['A','B','C'])
print("\nPanda's DataFrame: ")
print(df)
print("Type: ",type(df))
```
```

Sample Output:

```Original Numpy array:
[[0.18308157 0.32258608 0.39644848]
[0.31018507 0.08220454 0.40018982]
[0.63639779 0.34908174 0.39878868]
[0.74477532 0.4250794  0.12355822]
[0.61842804 0.78525555 0.95617131]
[0.17971402 0.03450462 0.3756935 ]
[0.34533001 0.68281693 0.42670306]
[0.90444404 0.96700828 0.87172799]
[0.53261873 0.18419712 0.54780473]
[0.50476661 0.82657057 0.06935023]
[0.02482073 0.02318678 0.36032194]
[0.69001834 0.04285817 0.31768865]]
Type:  <class 'numpy.ndarray'>

Panda's DataFrame:
A         B         C
0   0.015583  0.968431  0.943192
1   0.221607  0.704098  0.241200
2   0.466129  0.269226  0.450781
3   0.747222  0.674508  0.686070
4   0.908001  0.399580  0.124778
5   0.540362  0.024179  0.560710
6   0.572349  0.992342  0.347848
7   0.609707  0.786937  0.150088
8   0.162281  0.412158  0.761437
9   0.969180  0.215166  0.769721
10  0.272827  0.817238  0.093650
11  0.196416  0.643602  0.262683
Type:  <class 'pandas.core.frame.DataFrame'>
```

Pictorial Presentation: Python Code Editor:

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## Python: Tips of the Day

List comprehension:

```>>> m = [x ** 2 for x in range(5)]
>>> m
[0, 1, 4, 9, 16]
```