DataFrame.tensor

danfo.DataFrame.tensor [source]
Returns:
       return tf.tensor
Note: Tensorflow tensors have single dtype, and will replace any string value with  NaN. Use with care. 
Examples
Node
Browser
1
const dfd = require("danfojs-node")
2
​
3
let data = { "A": [-20, 30, 47.3, -20] ,
4
             "B": [34, -4, 5, 6] ,
5
             "C": [20, 20, 30, 30]}
6
             
7
let df = new dfd.DataFrame(data)
8
let tf_tensor = df.tensor
9
​
10
console.log(tf_tensor.dtype);
11
​
12
console.log(tf_tensor);
13
​
14
tf_tensor.print()
Copied!
1
​
Copied!
Output
1
float32
2
Tensor
3
    [[-20       , 34, 20],
4
     [30        , -4, 20],
5
     [47.2999992, 5 , 30],
6
     [-20       , 6 , 30]]
Copied!
String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations. 
Node
Browser
1
const dfd = require("danfojs-node")
2
​
3
let data = { "Abs": [20.2, 30, 47.3] ,
4
             "Count": [34, 5, 6] ,
5
             "country code": ["NG", "FR", "GH"] }
6
​
7
​
8
let df = new dfd.DataFrame(data)
9
let tf_tensor = df.tensor
10
​
11
console.log(tf_tensor.dtype);
12
​
13
console.log(tf_tensor);
14
​
15
tf_tensor.print()
Copied!
1
​
Copied!
Output
1
float32 
2
​
3
Tensor {
4
  kept: false,
5
  isDisposedInternal: false,
6
  shape: [ 3, 3 ],
7
  dtype: 'float32',
8
  size: 9,
9
  strides: [ 3 ],
10
  dataId: {},
11
  id: 0,
12
  rankType: '2'
13
}
14
​
15
Tensor
16
    [[20.2000008, 34, NaN],
17
     [30        , 4 , NaN],
18
     [47.2999992, 5 , NaN]]
Copied!

DataFrame.nunique

DataFrame.print

Last modified 17d ago

Copy link

Contents

Examples