MAT_2_DF

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Convert a Matrix DataContainer to a DataFrame DataContainer. Params: default : Matrix The input matrix to which we apply the conversion to. Returns: out : DataFrame The dataframe result from the conversion of the input.

Python Code

from numpy import asarray
import pandas as pd
from flojoy import flojoy, Matrix, DataFrame


@flojoy
def MAT_2_DF(default: Matrix) -> DataFrame:
    """Convert a Matrix DataContainer to a DataFrame DataContainer.

    Parameters
    ----------
    default : Matrix
        The input matrix to which we apply the conversion to.

    Returns
    -------
    DataFrame
        The dataframe result from the conversion of the input.
    """

    np_data = default.m
    np_array = asarray(np_data)
    df = pd.DataFrame(np_array)

    return DataFrame(df=df)

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Example App

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In this example we use the MATRIX node to generate a matrix with 9 rows and 3 columns in the parameters.

With the left LINE node we can see the matrix representation in which each of the 9 colored lines represent one of the row of the matrix and it’s value at each column.

Then we use the MAT_2_DF node to convert the input array from matrix type to a dataframe type.

With the right LINE node we can see the output array of MAT_2_DF. In this graph we can only see 3 lines of different colors since it’s showing the evolution of the 3 columns as we go through their rows which is as expected from a dataframe type of data.