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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def df2mat(data, return_labels=False):
 """ Transforms a Pandas DataFrame into a Numpy array with binarized text columns This function transforms single-level df to an array so it can be plotted with HyperTools. Additionally, it uses the Pandas.Dataframe.get_dummies function to transform text columns into binary vectors, or 'dummy variables'. Parameters data : A single-level Pandas DataFrame The df that you want to convert. Note that this currently only works with single-level (not Multi-level indices). Returns plot_data : Numpy array A Numpy array where text columns are turned into binary vectors. labels : list (optional) A list of column labels for the numpy array. To return this, set return_labels=True. """


    df_str = data.select_dtypes(include=['object'])
    df_num = data.select_dtypes(exclude=['object'])

    for colname in df_str.columns:
        df_num = df_num.join(pd.get_dummies(data[colname], prefix=colname))

    plot_data = df_num.as_matrix()

    labels=list(df_num.columns.values)

    if return_labels:
        return plot_data,labels
    else:
        return plot_data