#1ZJZ_NBG (Python)

import pandas as pd
import numpy as np

data = {
    "priceA": [17, 35, 87],
    "priceB": [47, 45, 65],
    "priceC": [pd.NA, 15, 64],
}

df = pd.DataFrame(data)

data = (df
        .values  # to_numpy()
        .T       # transpose
        .ravel() # flatten
      )

# columns name ["PriceA"]
col_name = df.columns[:1]

tmp_df = pd.DataFrame(data, copy=False, columns=col_name)