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Added workflows and a sample table

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HowToSD
2025-02-13 01:30:47 -08:00
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examples/datasets/fruit.csv
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Name,Price,InStock,OnSale
fig,4.11,1,1
safou,1.24,1,0
papaya,5.11,1,1
plum,2.53,1,1
guava,0.66,1,1
raspberry,9.99,1,0
lucuma,6.4,0,1
watermelon,11.46,0,1
pawpaw,0.66,1,1
lychee,9.62,0,1
cantaloupe,11.8,1,0
elderberry,9.65,1,1
barberry,3.12,0,1
nectarine,6.18,1,0
tamarillo,6.8,0,0
kiwi,12.25,0,0
mango,3.12,1,0
orange,0.54,0,1
dragonfruit,2.57,1,1
date,3.63,0,1
gooseberry,3.31,0,1
ackee,1.7,0,0
yellow watermelon,5.69,1,0
currant,7.64,0,0
avocado,2.64,0,1
longan,11.04,1,0
starfruit,11.06,0,1
cherimoya,3.09,0,1
pequi,4.21,0,0
soncoya,8.0,0,1
pear,6.77,1,0
buddha's hand,2.84,1,0
mamey,5.16,1,0
ogbono,10.55,1,0
mulberry,12.91,0,1
blackberry,3.89,1,1
pomegranate,3.26,0,0
jackfruit,7.2,0,1
brazil nut fruit,11.64,1,0
bignay,8.89,0,0
clementine,1.22,0,1
apricot,3.46,1,1
miraclefruit,11.41,0,0
persimmon,7.79,1,1
pineapple,7.17,1,0
voavanga,7.17,0,0
monstera,4.33,0,1
rambutan,12.39,1,1
feijoa,7.32,1,1
grumichama,12.64,1,0
cloudberry,1.77,0,1
honeydew,5.81,1,0
tangerine,3.03,1,1
jabuticaba,3.63,1,0
nance,11.33,0,1
blueberry,4.93,0,1
cupuacu,6.41,0,0
bilberry,5.34,0,0
soursop,9.22,0,0
sweetsop,3.48,1,1
grape,8.43,0,0
cranberry,10.66,1,1
peach,3.37,1,0
atemoya,1.6,0,0
breadfruit,1.36,0,1
loganberry,10.62,1,1
platonia,8.93,1,1
quince,6.23,1,0
banana,5.97,0,0
cherry,8.98,0,1
coconut,3.27,1,0
mangosteen,4.34,0,1
surinam cherry,3.62,0,1
boysenberry,2.24,1,1
ilama,6.85,0,0
medlar,11.05,0,0
kumquat,7.6,0,1
apple,12.85,0,0
santol,0.79,1,1
passionfruit,11.56,0,0
strawberry,10.67,0,0
durian,4.6,1,1
red currant,2.01,0,1
black currant,11.76,0,1
red currant,1.56,0,0
black currant,8.4,0,0
red currant,11.06,1,1
black currant,9.25,0,0
red currant,10.05,1,1
black currant,9.24,1,1
red currant,2.59,0,0
black currant,0.51,1,0
red currant,1.52,1,1
black currant,9.33,1,1
red currant,3.17,1,1
black currant,8.15,0,1
red currant,7.71,0,1
black currant,4.41,1,0
red currant,2.18,0,0
black currant,0.8,1,1
1 Name Price InStock OnSale
2 fig 4.11 1 1
3 safou 1.24 1 0
4 papaya 5.11 1 1
5 plum 2.53 1 1
6 guava 0.66 1 1
7 raspberry 9.99 1 0
8 lucuma 6.4 0 1
9 watermelon 11.46 0 1
10 pawpaw 0.66 1 1
11 lychee 9.62 0 1
12 cantaloupe 11.8 1 0
13 elderberry 9.65 1 1
14 barberry 3.12 0 1
15 nectarine 6.18 1 0
16 tamarillo 6.8 0 0
17 kiwi 12.25 0 0
18 mango 3.12 1 0
19 orange 0.54 0 1
20 dragonfruit 2.57 1 1
21 date 3.63 0 1
22 gooseberry 3.31 0 1
23 ackee 1.7 0 0
24 yellow watermelon 5.69 1 0
25 currant 7.64 0 0
26 avocado 2.64 0 1
27 longan 11.04 1 0
28 starfruit 11.06 0 1
29 cherimoya 3.09 0 1
30 pequi 4.21 0 0
31 soncoya 8.0 0 1
32 pear 6.77 1 0
33 buddha's hand 2.84 1 0
34 mamey 5.16 1 0
35 ogbono 10.55 1 0
36 mulberry 12.91 0 1
37 blackberry 3.89 1 1
38 pomegranate 3.26 0 0
39 jackfruit 7.2 0 1
40 brazil nut fruit 11.64 1 0
41 bignay 8.89 0 0
42 clementine 1.22 0 1
43 apricot 3.46 1 1
44 miraclefruit 11.41 0 0
45 persimmon 7.79 1 1
46 pineapple 7.17 1 0
47 voavanga 7.17 0 0
48 monstera 4.33 0 1
49 rambutan 12.39 1 1
50 feijoa 7.32 1 1
51 grumichama 12.64 1 0
52 cloudberry 1.77 0 1
53 honeydew 5.81 1 0
54 tangerine 3.03 1 1
55 jabuticaba 3.63 1 0
56 nance 11.33 0 1
57 blueberry 4.93 0 1
58 cupuacu 6.41 0 0
59 bilberry 5.34 0 0
60 soursop 9.22 0 0
61 sweetsop 3.48 1 1
62 grape 8.43 0 0
63 cranberry 10.66 1 1
64 peach 3.37 1 0
65 atemoya 1.6 0 0
66 breadfruit 1.36 0 1
67 loganberry 10.62 1 1
68 platonia 8.93 1 1
69 quince 6.23 1 0
70 banana 5.97 0 0
71 cherry 8.98 0 1
72 coconut 3.27 1 0
73 mangosteen 4.34 0 1
74 surinam cherry 3.62 0 1
75 boysenberry 2.24 1 1
76 ilama 6.85 0 0
77 medlar 11.05 0 0
78 kumquat 7.6 0 1
79 apple 12.85 0 0
80 santol 0.79 1 1
81 passionfruit 11.56 0 0
82 strawberry 10.67 0 0
83 durian 4.6 1 1
84 red currant 2.01 0 1
85 black currant 11.76 0 1
86 red currant 1.56 0 0
87 black currant 8.4 0 0
88 red currant 11.06 1 1
89 black currant 9.25 0 0
90 red currant 10.05 1 1
91 black currant 9.24 1 1
92 red currant 2.59 0 0
93 black currant 0.51 1 0
94 red currant 1.52 1 1
95 black currant 9.33 1 1
96 red currant 3.17 1 1
97 black currant 8.15 0 1
98 red currant 7.71 0 1
99 black currant 4.41 1 0
100 red currant 2.18 0 0
101 black currant 0.8 1 1
examples/workflows/load_csv.json
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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/ComfyUI-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}
examples/workflows/select_subset.json
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{"last_node_id":5,"last_link_id":5,"nodes":[{"id":1,"type":"PandasLoadCSV","pos":[353.8526611328125,2105.062255859375],"size":[410.5992736816406,95.68482208251953],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"STRING","type":"STRING","links":[2,4],"slot_index":0}],"properties":{"Node name for S&R":"PandasLoadCSV"},"widgets_values":["./custom_nodes/ComfyUI-Data-Analysis/examples/datasets/fruit.csv"]},{"id":3,"type":"PandasSelectColumns","pos":[792.3731079101562,1956.5699462890625],"size":[349.8414306640625,115.1163558959961],"flags":{},"order":1,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":2,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":[3],"slot_index":0}],"properties":{"Node name for S&R":"PandasSelectColumns"},"widgets_values":["","Name, Price"]},{"id":2,"type":"PandasShowDataFrame","pos":[1223.672119140625,1952.651123046875],"size":[323.9862976074219,238.33462524414062],"flags":{},"order":3,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":3,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":null,"shape":6}],"properties":{"Node name for S&R":"PandasShowDataFrame"},"widgets_values":[""," Name Price\n0 fig 4.11\n1 safou 1.24\n2 papaya 5.11\n3 plum 2.53\n4 guava 0.66\n.. ... ...\n95 black currant 8.15\n96 red currant 7.71\n97 black currant 4.41\n98 red currant 2.18\n99 black currant 0.80\n\n[100 rows x 2 columns]"]},{"id":4,"type":"PandasSelectRows","pos":[780.7979125976562,2289.15966796875],"size":[390.7399597167969,111.2580337524414],"flags":{},"order":2,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":4,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":[5],"slot_index":0}],"properties":{"Node name for S&R":"PandasSelectRows"},"widgets_values":["","Price < 1"]},{"id":5,"type":"PandasShowDataFrame","pos":[1231.45263671875,2293.01708984375],"size":[301.1099548339844,161.65524291992188],"flags":{},"order":4,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":5,"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\n4 guava 0.66 1 1\n8 pawpaw 0.66 1 1\n17 orange 0.54 0 1\n78 santol 0.79 1 1\n91 black currant 0.51 1 0\n99 black currant 0.80 1 1"]}],"links":[[2,1,0,3,0,"STRING"],[3,3,0,2,0,"STRING"],[4,1,0,4,0,"STRING"],[5,4,0,5,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.8639278591604511,"offset":[-331.6863902845917,-1872.4571513539743]},"node_versions":{"ComfyUI-Data-Analysis":"235c84b7b8aafc3c4b904ba8f03c89aade96b640"},"ue_links":[]},"version":0.4}
examples/workflows/sort.json
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{"last_node_id":8,"last_link_id":11,"nodes":[{"id":1,"type":"PandasLoadCSV","pos":[341.50604248046875,1996.256103515625],"size":[410.5992736816406,95.68482208251953],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"STRING","type":"STRING","links":[6],"slot_index":0}],"properties":{"Node name for S&R":"PandasLoadCSV"},"widgets_values":["./custom_nodes/ComfyUI-Data-Analysis/examples/datasets/fruit.csv"]},{"id":6,"type":"PandasSort","pos":[797.7749633789062,1987.430908203125],"size":[210,132.86476135253906],"flags":{},"order":2,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":6,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":[8,10],"slot_index":0}],"properties":{"Node name for S&R":"PandasSort"},"widgets_values":["","Price",false]},{"id":7,"type":"PandasHead","pos":[794.6879272460938,2368.64111328125],"size":[210,91.96627807617188],"flags":{},"order":4,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":10,"widget":{"name":"dataframe_json"}}],"outputs":[{"name":"STRING","type":"STRING","links":[11],"slot_index":0}],"properties":{"Node name for S&R":"PandasHead"},"widgets_values":["",3]},{"id":8,"type":"MarkdownNote","pos":[786.199462890625,2250.57421875],"size":[227.97030639648438,68.48837280273438],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[],"properties":{},"widgets_values":["# Show top 3"],"color":"#432","bgcolor":"#653"},{"id":2,"type":"PandasShowDataFrame","pos":[1094.8031005859375,1988.14794921875],"size":[323.9862976074219,238.33462524414062],"flags":{},"order":3,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":8,"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\n34 mulberry 12.91 0 1\n77 apple 12.85 0 0\n49 grumichama 12.64 1 0\n47 rambutan 12.39 1 1\n15 kiwi 12.25 0 0\n.. ... ... ... ...\n78 santol 0.79 1 1\n8 pawpaw 0.66 1 1\n4 guava 0.66 1 1\n17 orange 0.54 0 1\n91 black currant 0.51 1 0\n\n[100 rows x 4 columns]"]},{"id":5,"type":"PandasShowDataFrame","pos":[1105.6707763671875,2374.0419921875],"size":[288.7632141113281,130.78851318359375],"flags":{},"order":5,"mode":0,"inputs":[{"name":"dataframe_json","type":"STRING","link":11,"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\n34 mulberry 12.91 0 1\n77 apple 12.85 0 0\n49 grumichama 12.64 1 0"]}],"links":[[6,1,0,6,0,"STRING"],[8,6,0,2,0,"STRING"],[10,6,0,7,0,"STRING"],[11,7,0,5,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.8639278591604511,"offset":[-331.6863902845917,-1872.4571513539743]},"node_versions":{"ComfyUI-Data-Analysis":"235c84b7b8aafc3c4b904ba8f03c89aade96b640"},"ue_links":[]},"version":0.4}