DataFrame.tensor
Return a Tensorflow tensor of the DataFrame. Only the values in the DataFrame will be returned, the axis labels will be removed.
danfo.DataFrame.tensor
Note: Tensorflow tensors have single dtype, and will replace any string value with NaN. Use with care.
Examples
Node
Browser
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const dfd = require("danfojs-node")
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let data = { "A": [-20, 30, 47.3, -20] ,
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"B": [34, -4, 5, 6] ,
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"C": [20, 20, 30, 30]}
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let df = new dfd.DataFrame(data)
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let tf_tensor = df.tensor
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​
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console.log(tf_tensor.dtype);
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​
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console.log(tf_tensor);
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tf_tensor.print()
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Output
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float32
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​
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Tensor {
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kept: false,
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isDisposedInternal: false,
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shape: [ 4, 3 ],
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dtype: 'float32',
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size: 12,
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strides: [ 3 ],
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dataId: {},
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id: 0,
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rankType: '2'
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}
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​
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Tensor
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[[-20 , 34, 20],
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[30 , -4, 20],
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[47.2999992, 5 , 30],
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[-20 , 6 , 30]]
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String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.
Node
Browser
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const dfd = require("danfojs-node")
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​
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let data = { "Abs": [20.2, 30, 47.3] ,
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"Count": [34, 5, 6] ,
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"country code": ["NG", "FR", "GH"] }
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​
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​
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let df = new dfd.DataFrame(data)
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let tf_tensor = df.tensor
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​
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console.log(tf_tensor.dtype);
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​
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console.log(tf_tensor);
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​
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tf_tensor.print()
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​
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Output
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float32
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​
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Tensor {
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kept: false,
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isDisposedInternal: false,
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shape: [ 3, 3 ],
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dtype: 'float32',
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size: 9,
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strides: [ 3 ],
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dataId: {},
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id: 0,
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rankType: '2'
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}
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​
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Tensor
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[[20.2000008, 34, NaN],
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[30 , 4 , NaN],
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[47.2999992, 5 , NaN]]
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Last modified 3mo ago
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