DF_2_NP

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

Python Code

from flojoy import flojoy, DataFrame, Matrix


@flojoy
def DF_2_NP(default: DataFrame) -> Matrix:
    """Convert a DataFrame DataContainer to a Matrix DataContainer.

    Parameters
    ----------
    default : DataFrame
        The input dataframe to which we apply the conversion to.

    Returns
    -------
    Matrix
        The matrix result from the conversion of the input.
    """

    df = default.m
    df_to_numpy = df.to_numpy(dtype=object)

    return Matrix(m=df_to_numpy)

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Example App

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Press enter or space to select a node.You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.

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In this example we use the R_DATASET node to generate a dataframe with the airquality string in the parameter of the node.

With the left LINE node we see the input data where each line of a different color represent the evolution of a column as we go through its rows.

Then we use the DF_2_NP node to convert the input data from the dataframe type to the numpy array type.

With the right LINE node we can see the output data of DF_2_NP. In this graph we see a lot more of lines since each line is representing the evolution of each row as we go through its columns. We can also observe this by observing that the amount of different lines in the previous LINE node is 6 (so column 0 to 5), exacty like the axis we have here going from 0 to 5. This shows that our output data is a numpy array as expected.