Failed to find the pandas get_adjustment() function to patch Failed to patch pandas - PandasTools will have limited functionality 🚀 Converting between string representations with the following parameters: subcommand: convert output: <_io.TextIOWrapper name='' mode='w' encoding='utf-8'> format: csv input: <_io.TextIOWrapper name='' mode='r' encoding='utf-8'> representation: SMILES column: smiles prefix: None to: ['id', 'smiles', 'scaffold', 'mwt', 'clogp', 'tpsa'] options: ['prefix=SCB-'] func: 0it [00:00, ?it/s] 1it [00:01, 1.39s/it] 2it [00:02, 1.39s/it] 3it [00:04, 1.38s/it] 4it [00:05, 1.38s/it] 5it [00:06, 1.38s/it] 6it [00:08, 1.37s/it] 7it [00:09, 1.37s/it] 8it [00:11, 1.37s/it] 9it [00:12, 1.37s/it] 10it [00:13, 1.37s/it] 11it [00:15, 1.37s/it] 12it [00:16, 1.37s/it] 13it [00:17, 1.37s/it] 14it [00:19, 1.37s/it] 15it [00:20, 1.37s/it] 16it [00:21, 1.37s/it] 17it [00:23, 1.37s/it] 18it [00:24, 1.37s/it] 19it [00:26, 1.37s/it] 20it [00:27, 1.37s/it] 21it [00:28, 1.37s/it] 22it 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1.38s/it] 524it [11:57, 1.38s/it] 525it [11:59, 1.38s/it] 526it [12:00, 1.38s/it] 527it [12:02, 1.38s/it] 528it [12:03, 1.38s/it] 529it [12:04, 1.38s/it] 530it [12:06, 1.38s/it] 531it [12:07, 1.38s/it] 532it [12:09, 1.38s/it] 533it [12:10, 1.38s/it] 534it [12:11, 1.38s/it] 535it [12:13, 1.38s/it] 536it [12:14, 1.38s/it] 537it [12:15, 1.38s/it] 538it [12:17, 1.38s/it] 539it [12:18, 1.38s/it] 540it [12:20, 1.38s/it] 541it [12:21, 1.38s/it] 542it [12:22, 1.38s/it] 543it [12:24, 1.38s/it] 544it [12:25, 1.38s/it] 545it [12:26, 1.38s/it] 546it [12:28, 1.37s/it] 547it [12:29, 1.37s/it] 548it [12:31, 1.37s/it] 549it [12:32, 1.37s/it] 550it [12:33, 1.37s/it] 551it [12:35, 1.37s/it] 552it [12:36, 1.37s/it] 553it [12:37, 1.38s/it] 554it [12:39, 1.37s/it] 555it [12:40, 1.38s/it] 556it [12:42, 1.37s/it] 557it [12:43, 1.37s/it] 558it [12:44, 1.37s/it] 559it [12:46, 1.37s/it] 560it [12:47, 1.37s/it] 561it [12:48, 1.36s/it] 562it [12:50, 1.37s/it] 563it [12:51, 1.37s/it] 564it [12:52, 1.36s/it] 565it [12:54, 1.36s/it] 566it [12:55, 1.36s/it] 567it [12:57, 1.36s/it] 568it [12:58, 1.36s/it] 569it [12:59, 1.35s/it] 570it [13:01, 1.35s/it] 571it [13:02, 1.35s/it] 572it [13:03, 1.35s/it] 573it [13:05, 1.34s/it] 574it [13:06, 1.34s/it] 575it [13:07, 1.35s/it] 576it [13:09, 1.35s/it] 577it [13:10, 1.35s/it] 578it [13:11, 1.35s/it] 579it [13:13, 1.35s/it] 580it [13:14, 1.35s/it] 581it [13:15, 1.35s/it] 582it [13:17, 1.35s/it] 583it [13:18, 1.35s/it] 584it [13:19, 1.35s/it] 585it [13:21, 1.35s/it] 586it [13:22, 1.35s/it] 587it [13:24, 1.36s/it] 588it [13:25, 1.36s/it] 589it [13:26, 1.36s/it] 590it [13:28, 1.35s/it] 591it [13:29, 1.35s/it] 592it [13:30, 1.35s/it] 593it [13:32, 1.35s/it] 594it [13:33, 1.35s/it] 595it [13:34, 1.35s/it] 596it [13:36, 1.35s/it] 597it [13:37, 1.35s/it] 598it [13:38, 1.36s/it] 599it [13:40, 1.36s/it] 600it [13:41, 1.36s/it] 601it [13:43, 1.36s/it] 602it [13:44, 1.36s/it] 603it [13:45, 1.35s/it] 604it [13:47, 1.35s/it] 605it [13:48, 1.35s/it] 606it [13:49, 1.36s/it] 607it [13:51, 1.36s/it] 608it [13:52, 1.36s/it] 609it [13:53, 1.36s/it] 610it [13:55, 1.35s/it] 611it [13:56, 1.36s/it] 612it [13:57, 1.36s/it] 613it [13:59, 1.36s/it] 614it [14:00, 1.36s/it] 615it [14:01, 1.36s/it] 616it [14:03, 1.36s/it] 617it [14:04, 1.35s/it] 618it [14:06, 1.36s/it] 619it [14:07, 1.36s/it] 620it [14:08, 1.36s/it] 621it [14:10, 1.36s/it] 622it [14:11, 1.36s/it] 623it [14:12, 1.36s/it] 624it [14:14, 1.36s/it] 625it [14:15, 1.37s/it] 626it [14:16, 1.37s/it] 627it [14:18, 1.37s/it] 628it [14:19, 1.37s/it] 629it [14:21, 1.37s/it] 630it [14:22, 1.37s/it] 631it [14:23, 1.37s/it] 632it [14:25, 1.37s/it] 633it [14:26, 1.36s/it] 634it [14:27, 1.36s/it] 635it [14:29, 1.36s/it] 636it [14:30, 1.36s/it] 637it [14:31, 1.36s/it] 638it [14:33, 1.36s/it] 639it [14:34, 1.36s/it] 640it [14:36, 1.36s/it] 641it [14:37, 1.37s/it] 642it [14:38, 1.37s/it] 643it [14:40, 1.37s/it] 644it [14:41, 1.37s/it] 645it [14:42, 1.37s/it] 646it [14:44, 1.37s/it] 647it [14:45, 1.37s/it] 648it [14:47, 1.37s/it] 649it [14:48, 1.37s/it] 650it [14:49, 1.37s/it] 651it [14:51, 1.37s/it] 652it [14:52, 1.37s/it] 653it [14:53, 1.36s/it] 654it [14:55, 1.36s/it] 655it [14:56, 1.36s/it] 656it [14:57, 1.36s/it] 657it [14:59, 1.36s/it] 658it [15:00, 1.37s/it] 659it [15:02, 1.37s/it] 660it [15:03, 1.37s/it] 661it [15:04, 1.37s/it] 662it [15:06, 1.37s/it] 663it [15:07, 1.37s/it] 664it [15:08, 1.37s/it] 665it [15:10, 1.37s/it] 666it [15:11, 1.37s/it] 667it [15:12, 1.37s/it] 668it [15:14, 1.37s/it] 669it [15:15, 1.37s/it] 670it [15:17, 1.36s/it] 671it [15:18, 1.36s/it] 672it [15:19, 1.36s/it] 673it [15:21, 1.37s/it] 674it [15:22, 1.38s/it] 675it [15:23, 1.38s/it] 676it [15:25, 1.37s/it] 677it [15:26, 1.37s/it] 678it [15:28, 1.37s/it] 679it [15:29, 1.37s/it] 680it [15:30, 1.37s/it] 681it [15:32, 1.37s/it] 682it [15:33, 1.37s/it] 683it [15:34, 1.38s/it] 684it [15:36, 1.39s/it] 685it [15:37, 1.38s/it] 686it [15:39, 1.38s/it] 687it [15:40, 1.38s/it] 688it [15:41, 1.38s/it] 689it [15:43, 1.37s/it] 690it [15:44, 1.37s/it] 691it [15:45, 1.37s/it] 692it [15:47, 1.37s/it] 693it [15:48, 1.37s/it] 694it [15:50, 1.38s/it] 695it [15:51, 1.38s/it] 696it [15:52, 1.37s/it] 697it [15:54, 1.37s/it] 698it [15:55, 1.38s/it] 699it [15:56, 1.37s/it] 700it [15:58, 1.37s/it] 701it [15:59, 1.37s/it] 702it [16:01, 1.37s/it] 703it [16:02, 1.37s/it] 704it [16:03, 1.37s/it] 705it [16:05, 1.38s/it] 706it [16:06, 1.38s/it] 707it [16:07, 1.38s/it] 708it [16:09, 1.38s/it] 709it [16:10, 1.38s/it] 710it [16:12, 1.38s/it] 711it [16:13, 1.38s/it] 712it [16:14, 1.38s/it] 713it [16:16, 1.38s/it] 714it [16:17, 1.38s/it] 715it [16:18, 1.38s/it] 716it [16:20, 1.38s/it] 717it [16:21, 1.38s/it] 718it [16:23, 1.38s/it] 719it [16:24, 1.38s/it] 720it [16:25, 1.38s/it] 721it [16:27, 1.38s/it] 722it [16:28, 1.38s/it] 723it [16:30, 1.38s/it] 724it [16:31, 1.38s/it] 725it [16:32, 1.38s/it] 726it [16:34, 1.38s/it] 727it [16:35, 1.38s/it] 728it [16:36, 1.38s/it] 729it [16:38, 1.38s/it] 730it [16:39, 1.38s/it] 731it [16:41, 1.38s/it] 732it [16:42, 1.38s/it] 733it [16:43, 1.38s/it] 734it [16:45, 1.38s/it] 735it [16:46, 1.39s/it] 736it [16:47, 1.39s/it] 737it [16:49, 1.39s/it] 738it [16:50, 1.39s/it] 739it [16:52, 1.39s/it] 740it [16:53, 1.39s/it] 741it [16:54, 1.39s/it] 742it [16:56, 1.38s/it] 743it [16:57, 1.39s/it] 744it [16:59, 1.39s/it] 745it [17:00, 1.39s/it] 746it [17:01, 1.39s/it] 747it [17:03, 1.39s/it] 748it [17:04, 1.39s/it] 749it [17:06, 1.39s/it] 750it [17:07, 1.39s/it] 751it [17:08, 1.39s/it] 752it [17:10, 1.39s/it] 753it [17:11, 1.38s/it] 754it [17:12, 1.38s/it] 755it [17:14, 1.38s/it] 756it [17:15, 1.38s/it] 757it [17:17, 1.38s/it] 758it [17:18, 1.38s/it] 759it [17:19, 1.38s/it] 760it [17:21, 1.38s/it] 761it [17:22, 1.38s/it] 762it [17:23, 1.38s/it] 763it [17:25, 1.38s/it] 764it [17:26, 1.38s/it] 765it [17:28, 1.38s/it] 766it [17:29, 1.38s/it] 767it [17:30, 1.38s/it] 768it [17:32, 1.38s/it] 769it [17:33, 1.38s/it] 770it [17:35, 1.38s/it] 771it [17:36, 1.38s/it] 772it [17:37, 1.38s/it] 773it [17:39, 1.38s/it] 774it [17:40, 1.37s/it] 775it [17:41, 1.37s/it] 776it [17:43, 1.37s/it] 777it [17:44, 1.37s/it] 778it [17:45, 1.37s/it] 779it [17:47, 1.37s/it] 780it [17:48, 1.37s/it] 781it [17:50, 1.37s/it] 782it [17:51, 1.37s/it] 783it [17:52, 1.36s/it] 784it [17:54, 1.37s/it] 785it [17:55, 1.37s/it] 786it [17:56, 1.37s/it] 787it [17:58, 1.37s/it] 788it [17:59, 1.37s/it] 789it [18:01, 1.37s/it] 790it [18:02, 1.37s/it] 791it [18:03, 1.37s/it] 792it [18:05, 1.37s/it] 793it [18:06, 1.37s/it] 794it [18:07, 1.36s/it] 795it [18:09, 1.36s/it] 796it [18:10, 1.36s/it] 797it [18:11, 1.36s/it] 798it [18:13, 1.36s/it] 799it [18:14, 1.36s/it] 800it [18:16, 1.36s/it] 801it [18:17, 1.36s/it] 802it [18:18, 1.36s/it] 803it [18:20, 1.37s/it] 804it [18:21, 1.36s/it] 805it [18:22, 1.37s/it] 806it [18:24, 1.37s/it] 807it [18:25, 1.36s/it] 808it [18:26, 1.36s/it] 809it [18:28, 1.36s/it] 810it [18:29, 1.37s/it] 811it [18:31, 1.37s/it] 812it [18:32, 1.37s/it] 813it [18:33, 1.37s/it] 814it [18:35, 1.37s/it] 815it [18:36, 1.37s/it] 816it [18:37, 1.37s/it] 817it [18:39, 1.37s/it] 818it [18:40, 1.37s/it] 819it [18:42, 1.37s/it] 820it [18:43, 1.37s/it] 821it [18:44, 1.37s/it] 822it [18:46, 1.37s/it] 823it [18:47, 1.37s/it] 824it [18:48, 1.37s/it] 825it [18:50, 1.37s/it] 826it [18:51, 1.37s/it] 827it [18:52, 1.38s/it] 828it [18:54, 1.38s/it] 829it [18:55, 1.38s/it] 830it [18:57, 1.38s/it] 831it [18:58, 1.38s/it] 832it [18:59, 1.37s/it] 833it [19:01, 1.38s/it] 834it [19:02, 1.38s/it] 835it [19:03, 1.37s/it] 836it [19:05, 1.37s/it] 837it [19:06, 1.37s/it] 838it [19:08, 1.37s/it] 839it [19:09, 1.37s/it] 840it [19:10, 1.37s/it] 841it [19:12, 1.37s/it] 842it [19:13, 1.37s/it] 843it [19:14, 1.37s/it] 844it [19:16, 1.38s/it] 845it [19:17, 1.37s/it] 846it [19:19, 1.38s/it] 847it [19:20, 1.37s/it] 848it [19:21, 1.37s/it] 849it [19:23, 1.37s/it] 850it [19:24, 1.37s/it] 851it [19:25, 1.37s/it] 852it [19:27, 1.37s/it] 853it [19:28, 1.37s/it] 854it [19:30, 1.37s/it] 855it [19:31, 1.37s/it] 856it [19:32, 1.37s/it] 857it [19:34, 1.37s/it] 858it [19:35, 1.38s/it] 859it [19:36, 1.38s/it] 860it [19:38, 1.38s/it] 861it [19:39, 1.37s/it] 862it [19:41, 1.37s/it] 863it [19:42, 1.37s/it] 864it [19:43, 1.38s/it] 865it [19:45, 1.38s/it] 866it [19:46, 1.38s/it] 867it [19:47, 1.38s/it] 868it [19:49, 1.38s/it] 869it [19:50, 1.39s/it] 870it [19:52, 1.39s/it] 871it [19:53, 1.39s/it] 872it [19:54, 1.39s/it] 873it [19:56, 1.39s/it] 874it [19:57, 1.39s/it] 875it [19:59, 1.39s/it] 876it [20:00, 1.39s/it] 877it [20:01, 1.39s/it] 878it [20:03, 1.39s/it] 879it [20:04, 1.38s/it] 880it [20:05, 1.38s/it] 881it [20:07, 1.38s/it] 882it [20:08, 1.38s/it] 883it [20:10, 1.38s/it] 884it [20:11, 1.38s/it] 885it [20:12, 1.39s/it] 886it [20:14, 1.38s/it] 887it [20:15, 1.38s/it] 888it [20:17, 1.38s/it] 889it [20:18, 1.39s/it] 890it [20:19, 1.39s/it] 891it [20:21, 1.38s/it] 892it [20:22, 1.38s/it] 893it [20:23, 1.38s/it] 894it [20:25, 1.37s/it] 895it [20:26, 1.37s/it] 896it [20:28, 1.37s/it] 897it [20:29, 1.37s/it] 898it [20:30, 1.37s/it] 899it [20:32, 1.36s/it] 900it [20:33, 1.36s/it] 901it [20:34, 1.36s/it] 902it [20:36, 1.36s/it] 903it [20:37, 1.36s/it] 904it [20:38, 1.36s/it] 905it [20:40, 1.36s/it] 906it [20:41, 1.36s/it] 907it [20:43, 1.36s/it] 908it [20:44, 1.36s/it] 909it [20:45, 1.36s/it] 910it [20:47, 1.36s/it] 911it [20:48, 1.36s/it] 912it [20:49, 1.36s/it] 913it [20:51, 1.36s/it] 914it [20:52, 1.36s/it] 915it [20:53, 1.36s/it] 916it [20:55, 1.36s/it] 917it [20:56, 1.36s/it] 918it [20:57, 1.36s/it] 919it [20:59, 1.36s/it] 920it [21:00, 1.36s/it] 921it [21:02, 1.36s/it] 922it [21:03, 1.36s/it] 923it [21:04, 1.36s/it] 924it [21:06, 1.35s/it] 925it [21:07, 1.35s/it] 926it [21:08, 1.35s/it] 927it [21:10, 1.35s/it] 928it [21:11, 1.35s/it] 929it [21:12, 1.36s/it] 930it [21:14, 1.36s/it] 931it [21:15, 1.35s/it] 932it [21:16, 1.36s/it] 933it [21:18, 1.35s/it] 934it [21:19, 1.35s/it] 935it [21:20, 1.35s/it] 936it [21:22, 1.35s/it] 937it [21:23, 1.36s/it] 938it [21:25, 1.35s/it] 939it [21:26, 1.36s/it] 940it [21:27, 1.36s/it] 941it [21:29, 1.36s/it] 942it [21:30, 1.36s/it] 943it [21:31, 1.36s/it] 944it [21:33, 1.36s/it] 945it [21:34, 1.36s/it] 946it [21:35, 1.36s/it] 947it [21:37, 1.36s/it] 948it [21:38, 1.36s/it] 949it [21:40, 1.36s/it] 950it [21:41, 1.36s/it] 951it [21:42, 1.36s/it] 952it [21:44, 1.37s/it] 953it [21:45, 1.36s/it] 954it [21:46, 1.36s/it] 955it [21:48, 1.36s/it] 956it [21:49, 1.35s/it] 957it [21:50, 1.36s/it] 958it [21:52, 1.36s/it] 959it [21:53, 1.35s/it] 960it [21:54, 1.36s/it] 961it [21:56, 1.35s/it] 962it [21:57, 1.36s/it] 963it [21:59, 1.36s/it] 964it [22:00, 1.37s/it] 965it [22:01, 1.37s/it] 966it [22:03, 1.37s/it] 967it [22:04, 1.37s/it] 968it [22:05, 1.37s/it] 969it [22:07, 1.38s/it] 970it [22:08, 1.38s/it] 971it [22:10, 1.38s/it] 972it [22:11, 1.38s/it] 973it [22:12, 1.38s/it] 974it [22:14, 1.38s/it] 975it [22:15, 1.38s/it] 976it [22:16, 1.37s/it] 977it [22:18, 1.37s/it] 978it [22:19, 1.38s/it] 979it [22:21, 1.38s/it] 980it [22:22, 1.38s/it] 981it [22:23, 1.38s/it] 982it [22:25, 1.38s/it] 983it [22:26, 1.38s/it] 984it [22:27, 1.38s/it] 985it [22:29, 1.38s/it] 986it [22:30, 1.37s/it] 987it [22:32, 1.38s/it] 988it [22:33, 1.37s/it] 989it [22:34, 1.37s/it] 990it [22:36, 1.37s/it] 991it [22:37, 1.36s/it] 992it [22:38, 1.36s/it] 993it [22:40, 1.36s/it] 994it [22:41, 1.36s/it] 995it [22:43, 1.37s/it] 996it [22:44, 1.37s/it] 997it [22:45, 1.37s/it] 998it [22:47, 1.37s/it] 999it [22:48, 1.37s/it] 1000it [22:49, 1.37s/it] 1000it [22:49, 1.37s/it] Error counts: id: 0 smiles: 0 scaffold: 0 mwt: 0 clogp: 0 tpsa: 0 ⏰ Completed process in 0:22:50.392457