Major refactoring to pass DataFrame object without serializing. Almost all nodes were modified for this. Binary operator nodes were added as well.
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{"last_node_id":2,"last_link_id":1,"nodes":[{"id":1,"type":"PandasLoadCSV","pos":[490.4385070800781,2068.794921875],"size":[410.5992736816406,95.68482208251953],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"STRING","type":"STRING","links":[1],"slot_index":0}],"properties":{"Node name for S&R":"PandasLoadCSV"},"widgets_values":["./custom_nodes/data-analysis/examples/datasets/fruit.csv"]},{"id":2,"type":"PandasShowDataFrame","pos":[1063.93798828125,2068.40283203125],"size":[323.9862976074219,238.33462524414062],"flags":{},"order":1,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":1,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":null,"shape":6}],"properties":{"Node name for S&R":"PandasShowDataFrame"},"widgets_values":[""," Name Price InStock OnSale\n0 fig 4.11 1.0 1\n1 safou 1.24 1.0 0\n2 papaya 5.11 1.0 1\n3 plum 2.53 1.0 1\n4 guava 0.66 1.0 1\n.. ... ... ... ...\n95 black currant 8.15 0.0 1\n96 red currant 7.71 0.0 1\n97 black currant 4.41 1.0 0\n98 red currant 2.18 0.0 0\n99 black currant 0.80 1.0 1\n\n[100 rows x 4 columns]"]}],"links":[[1,1,0,2,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":1.1498879805425606,"offset":[-454.3122480950786,-1970.7113583389635]},"node_versions":{"ComfyUI-Data-Analysis":"235c84b7b8aafc3c4b904ba8f03c89aade96b640"},"ue_links":[]},"version":0.4}
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{"last_node_id":2,"last_link_id":2,"nodes":[{"id":2,"type":"PandasShowDataFrame","pos":[1063.93798828125,2068.40283203125],"size":[323.9862976074219,238.33462524414062],"flags":{},"order":1,"mode":0,"inputs":[{"name":"dataframe","type":"DATAFRAME","link":2}],"outputs":[{"name":"STRING","type":"STRING","links":null,"shape":6}],"properties":{"Node name for S&R":"PandasShowDataFrame"},"widgets_values":[" Name Price InStock OnSale\n0 fig 4.11 1 1\n1 safou 1.24 1 0\n2 papaya 5.11 1 1\n3 plum 2.53 1 1\n4 guava 0.66 1 1\n.. ... ... ... ...\n95 black currant 8.15 0 1\n96 red currant 7.71 0 1\n97 black currant 4.41 1 0\n98 red currant 2.18 0 0\n99 black currant 0.80 1 1\n\n[100 rows x 4 columns]"]},{"id":1,"type":"PandasLoadCSV","pos":[490.4385070800781,2068.794921875],"size":[410.5992736816406,95.68482208251953],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"DATAFRAME","type":"DATAFRAME","links":[2],"slot_index":0}],"properties":{"Node name for S&R":"PandasLoadCSV"},"widgets_values":["./custom_nodes/data-analysis/examples/datasets/fruit.csv"]}],"links":[[2,1,0,2,0,"DATAFRAME"]],"groups":[],"config":{},"extra":{"ds":{"scale":1.2429202682416007,"offset":[-395.062420203444,-1847.5073301150765]},"node_versions":{"data-analysis":"a12de2f44c180d9136ec09572803a0fc525f7c9a"},"ue_links":[]},"version":0.4}
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