A pandas DataFrame with 20 rows and 500 columns. Nulls: 0. Memory: 78.3 KB. Columns: c0 (float64, stats: range 0.013 to 0.99, mean 0.48, std 0.3), c1 (float64, stats: range 0.06 to 0.97, mean 0.56, std 0.32), c2 (float64, stats: range 0.012 to 0.97, mean 0.53, std 0.34). Sample row: {'c0': '0.6369616873214543', 'c1': '0.2697867137638703', 'c2': '0.04097352393619469', 'c3': '0.016527635528529094', 'c4': '0.8132702392002724', 'c5': '0.9127555772777217', 'c6': '0.6066357757671799', 'c7': '0.7294965609839984', 'c8': '0.5436249914654229', 'c9': '0.9350724237877682', 'c10': '0.8158535541215322', 'c11': '0.002738500170148095', 'c12': '0.8574042765875693', 'c13': '0.033585575305464355', 'c14': '0.7296554464299441', 'c15': '0.17565562060255901', 'c16': '0.8631789223498866', 'c17': '0.5414612202490917', 'c18': '0.2997118905373848', 'c19': '0.42268722119765845', 'c20': '0.028319671145462966', 'c21': '0.12428327649956394', 'c22': '0.6706244146936303', 'c23': '0.6471895115742501', 'c24': '0.6153851114812539', '...': '(500 total keys)'}.