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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 add_data_to_df(self, data: np.array):
 """Build Pandas Dataframe in memory"""


        col_names = ['high_p', 'low_p', 'open_p', 'close_p', 'volume', 'oi']

        data = np.array(data).reshape(-1, len(col_names) + 1)
        df = pd.DataFrame(data=data[:, 1:], index=data[:, 0],
                          columns=col_names)

        df.index = pd.to_datetime(df.index)

        # Sort the dataframe based on ascending dates.
        df.sort_index(ascending=True, inplace=True)

        # Convert dataframe columns to float and ints.
        df[['high_p', 'low_p', 'open_p', 'close_p']] = df[
            ['high_p', 'low_p', 'open_p', 'close_p']].astype(float)
        df[['volume', 'oi']] = df[['volume', 'oi']].astype(int)

        if self._ndf.empty:
            self._ndf = df
        else:
            self._ndf = self._ndf.append(df)