如何导入 sheet 的所有非空白单元格的数组（用于矩阵乘法）？
How to import an array of all the non-blank cells of a sheet (for matrix multiplication)?
我有一个spreadsheet来计算我每顿饭的营养数据。一个 sheet（“成分”）包含每种成分的营养数据矩阵。另一个 sheet（“食谱”）包含每餐每种成分的份量矩阵。在我的“膳食营养数据”sheet 中，我想将这些矩阵相乘以获得每个食谱的营养数据。
我可以针对我目前拥有的一定数量的配料和食谱执行此操作：=mmult(ingredients!B5:AF39,recipes!B2:G32)，但如果我添加食谱或配料，我希望它自动更新，所以我不希望那样要硬编码的公式。由于矩阵需要所有单元格中的一个值才能相乘，并且由于约束 NxP * PxM（行数 x 列数）必须成立，我需要将每个 sheet 的所有非空白单元格的数组导入到MMULT()公式。
我目前的尝试 =mmult(query(ingredients!B5:FN39,"select * where Col1 is not null",0),query(recipes!B2:G32,"select * where Col1 is not null",0)) 无效。它抛出错误：“无法解析函数查询参数 2 的查询字符串：NO_COLUMN：Col1”。
我不知道应该用什么来代替“Col1”这个词，或者我的公式是否是实现这些结果的有效方法。
我也尝试了 filter() 函数，但它不能用于数组。
file.csv
ingredient,"Great Value Golden Sweet Whole Kernel Corn, 15 oz","Great Value White Kidney Beans Cannellini Beans, 15.5 oz","Organic Great Value Garbanzo Beans Chick Peas, 15 oz","Great Value Sweet Peas, 15 oz",Great Value Chunk Light Tuna in Water 12 oz. Can,"Great Value Chunk Light Tuna in Water, 5 oz","Great Value Sardines in Water, 3.75 oz","Great Value 100% Whole Wheat Bread, Round Top, 20 oz","Great Value Wheat Sandwich Bread, 20 oz",Unsalted Roasted Peanuts,"Tyson® Fully Cooked Chicken Patties, 59.2 oz. (Frozen)","Butterball All Natural 90%/10% Lean Ground Turkey, 1 lb.",Sweet Potato,Potato,"Country Crock Original Butter Spread, 15 oz",Great Value Extra Virgin Olive Oil 101 oz,Romaine Lettuce,Great Value Teriyaki Sauce 15 oz,Great Value Soy Sauce 15 oz,Great Value Ketchup 64 oz,Great Value Reduced Fat Mayo with Olive Oil 30 oz,Kroger Ranch Dressin 16 oz,"Great Value Light Creamy Caesar Dressing, 16 oz",Large Egg,"Great Value Diced Tomatoes In Tomato Juice, 28 Oz",Green Bell Pepper,Cucumber,"Great Value Italian Style Bread Crumbs, 15 oz","Great Value Finely Shredded Parmesan Cheese, 6 oz","Great Value Frozen Rising Crust Supreme Pizza, 30.7 oz",Nature Valley Chocolate Pretzel Nut Chewy Granola Bars,Great Value Long Grain Enriched Rice,Broccoli Stir-Fry,Poke Marinade and Sauce ,Great Value Blueberries,Great Value Frozen Mango Chunks,Great Value Frozen Chopped Spinach,Bananas,Blue Diamond Unsweetened Original Almond Milk,Tropicana 100% Orange Juice (some pulp),Kroger 100% Pineapple Juice (unsweetened),Zucchini,Simple Truth Organic Tofu Extra Firm,"Classico Signature Recipes Traditional Basil Pesto Sauce and Spread, 8.1 oz Jar","Frozen Cooked Medium Peeled & Deveined Tail-On Shrimp, 12 oz"
ingredient type,starchy vegetable,bean,bean,vegetable,protein,protein,protein,grain,grain,snack,protein,protein,starchy vegetable,starchy vegetable,fat,fat,vegetable,sauce,sauce,sauce,sauce,sauce,sauce,protein,vegetable,vegetable,vegetable,grain,dairy,meal,snack,carb,vegetable,sauce,fruit,fruit,vegetable,fruit,dairy,fruit,fruit,vegetable,protein,sauce,protein
servings per container,3.5,3.5,3.5,3.5,3,8,1,22,22,6,22,4,1,1,,,,,,,,,,,7,1,1,,,6,,50,7,16,3,10,4,,8,6,8,,0,4,4
serving size,1/2 cup,1/2 cup,1/2 cup,1/2 cup,3 oz,2 oz,1 can,1 slice,1 slice,1 oz,1 patty,4 oz,1 medium potato (114 g),1 medium potato (148 g),1 tbsp,1tbsp,2 cups (94g),1 tbsp,1 tbsp,1 tbsp,1 tbsp,2 tbsp,2 tbsp,1 egg,1/2 cup,1 pepper (100 g),1 cucumber (104g),1/3 cup,1/3 cup,1/6 pizza,1,1/4 cup,1 cup,1 tbsp,1 cup,1 cup,1 cup,1 banana,1 cup,8 fl oz,8 fl oz,1 zucchini,1 pack,1/4 cup,11
calories,45,110,110,60,80,45,100,60,70,170,200,190,103,110,50,120,15,15,5,20,50,140,70,70,25,20,16,110,110,330,150,160,30,50,100,130,35,105,30,110,120,33,270,240,100
total fat (g),0.5,0,2,0,0.5,0.5,4.5,0.5,1,15,13,11,0,0,6,14,0,0,0,0,6,14,6,5,0,0,0,1.5,7,12,5,0,0,0,1.5,0.5,0.5,0.4,2.5,0,0,0.6,13.5,24,1.5
saturated fat (g),0,0,0,0,0,0,1.5,0,0,2,3,2.5,0,0,1.5,2,0,0,0,0,1,2.5,1,1.5,0,0,0,0,4,4.5,2,0,0,0,0,0,0,0.1,0,0,0,0.2,1.5,4.5,0.5
trans fat (g),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0
polyunsaturated fat (g),0,0,0,0,0,0,1.5,0,0,0,4.5,0,0,0,2.5,0,0,0,0,0,3,0,3.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0.5,0,0,0,0,0,0
monounsaturated fat (g),0,0,0,0,0,0,4,0,0,0,5,0,0,0,1,0,0,0,0,0,1.5,0,1.5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.5,0,0,0,0,0,0
cholesterol (mg),0,0,0,0,35,20,75,0,0,0,35,80,0,0,0,0,0,0,0,0,5,5,0,185,0,0,0,0,20,30,0,0,0,0,0,0,0,0,0,0,0,0,0,5,180
sodium (mg),200,270,120,300,270,180,300,110,135,0,400,80,41,0,100,0,10,600,900,160,110,260,560,70,180,3,2,420,340,810,110,0,20,710,0,0,80,1,170,0,35,16,45,590,710
total carbohydrates (g),9,20,18,11,0,0,0,11,13,5,10,0,24,26,0,0,3,3,1,5,1,2,3,0,5,5,4,65,1,42,24,36,7,11,24,29,4,27,1,26,30,6,9,5,2
dietary fiber (g),1,6,4,3,0,0,0,2,1,3,0,0,4,2,0,0,2,2,0,0,0,0,0,0,1,2,2,21,0,2,1,1,2,0,6,3,3,3.1,1,0,1,2,3,1,0
total sugars (g),2,1,3,5,0,0,0,1,2,1,0,0,7,1,0,0,1,2,0,4,0,1,2,0,3,2,2,1,0,4,9,0,2,9,17,27,0,14,0,22,26,4.9,3,0,0
added sugars (g),0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,1,2,0,0,0,0,2,0,13,8,0,0,9,0,0,0,0,0,0,0,0,0,0,0
protein (g),1,7,6,3,18,0,16,4,2,8,9,20,2,3,0,0,1,0,1,0,0,0,1,6,1,1,0,4,10,0,2,3,2,1,0,1,3,1.3,1,2,0,2.4,27,3,20
potassium (mg),125,440,210,133,210,110,0,0,30,210,0,0,0,620,0,0,232,0,0,0,0,0,0,70,93,0,152,0,0,0,0,50,200,55,130,340,245,422,160,450,260,0,282,0,0
vitamin A (mg),0,0,0,0,0,0,18,0,0,0,0,0,"3,942",0,90,0,0,0,0,0,0,0,0,80,0,63,0,0,0,72,0,0,0,0,0,0,0,10,150,0,0,63,0,225,36
calcium (mg),14,50,30,17,0,0,325,50,20,30,0,104,52,20,0,0,31,0,0,0,0,0,0,30,0,13,16,78,325,195,0,10,29,0,0,40,124,0,450,20,0,39,390,195,104
vitamin D (mcg),0,0,0,0,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0
vitamin C (mg),0,0,0,0,0,0,0,0,0,0,0,0,11.1,27,0,0,4,0,0,0,0,0,0,0,0,120,0,0,0,9,0,0,0,0,0,101,0,15.3,0,90,72,52,0,7.2,0
iron (mg),0,2.2,1.2,1,1.2,0.6,1.7,0.8,1,1,0.4,1.8,0.7,1.1,0,0,1,0,0,0,0,0,0,0.9,0,0.4,2,1.1,0,2.7,0.9,1.9,1,0,0,0,1.6,0.2,0.7,0,0,0.36,4.32,1.08,0.36
vitamin b-6 (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0.1,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.9,0,0,0
magnesium (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32,15,0,0,33.6,0,0,0
thiamine (mg),0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.26,0,0,0,0,0,0,0,0,0,0,0,0,0
riboflavin (mg),0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
niacin (mg),0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.4,0,0,0,0,0,0,0,1.9,0,0,0,0,0,0,0,0,0,0,0,0,0
folate (mcg),0,0,0,0,0,0,0,0,20,0,0,0,0,0,0,0,128,0,0,0,0,0,0,25,0,0,0,0,0,0,0,174,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin k (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin b-12 (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
zinc (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin e (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.5,0,0,0,0,0,0
biotin (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
pantothenic acid (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
phosphorus (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,20,0,0,0,0,0,0
iodine (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
selenium (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
choline (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,150,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
尝试：
=ARRAYFORMULA(MMULT(
INDIRECT("ingredients!B5:"&ADDRESS(COUNTA(ingredients!A5:A)+4,
MAX(IF(ingredients!1:1="",,COLUMN(ingredients!1:1))))),
INDIRECT("recipes!B2:"&ADDRESS(COUNTA(recipes!A2:A)+1,
MAX(IF(recipes!1:1="",,COLUMN(recipes!1:1)))))))
我有一个spreadsheet来计算我每顿饭的营养数据。一个 sheet（“成分”）包含每种成分的营养数据矩阵。另一个 sheet（“食谱”）包含每餐每种成分的份量矩阵。在我的“膳食营养数据”sheet 中，我想将这些矩阵相乘以获得每个食谱的营养数据。
我可以针对我目前拥有的一定数量的配料和食谱执行此操作：=mmult(ingredients!B5:AF39,recipes!B2:G32)，但如果我添加食谱或配料，我希望它自动更新，所以我不希望那样要硬编码的公式。由于矩阵需要所有单元格中的一个值才能相乘，并且由于约束 NxP * PxM（行数 x 列数）必须成立，我需要将每个 sheet 的所有非空白单元格的数组导入到MMULT()公式。
我目前的尝试 =mmult(query(ingredients!B5:FN39,"select * where Col1 is not null",0),query(recipes!B2:G32,"select * where Col1 is not null",0)) 无效。它抛出错误：“无法解析函数查询参数 2 的查询字符串：NO_COLUMN：Col1”。
我不知道应该用什么来代替“Col1”这个词，或者我的公式是否是实现这些结果的有效方法。
我也尝试了 filter() 函数，但它不能用于数组。
file.csv
ingredient,"Great Value Golden Sweet Whole Kernel Corn, 15 oz","Great Value White Kidney Beans Cannellini Beans, 15.5 oz","Organic Great Value Garbanzo Beans Chick Peas, 15 oz","Great Value Sweet Peas, 15 oz",Great Value Chunk Light Tuna in Water 12 oz. Can,"Great Value Chunk Light Tuna in Water, 5 oz","Great Value Sardines in Water, 3.75 oz","Great Value 100% Whole Wheat Bread, Round Top, 20 oz","Great Value Wheat Sandwich Bread, 20 oz",Unsalted Roasted Peanuts,"Tyson® Fully Cooked Chicken Patties, 59.2 oz. (Frozen)","Butterball All Natural 90%/10% Lean Ground Turkey, 1 lb.",Sweet Potato,Potato,"Country Crock Original Butter Spread, 15 oz",Great Value Extra Virgin Olive Oil 101 oz,Romaine Lettuce,Great Value Teriyaki Sauce 15 oz,Great Value Soy Sauce 15 oz,Great Value Ketchup 64 oz,Great Value Reduced Fat Mayo with Olive Oil 30 oz,Kroger Ranch Dressin 16 oz,"Great Value Light Creamy Caesar Dressing, 16 oz",Large Egg,"Great Value Diced Tomatoes In Tomato Juice, 28 Oz",Green Bell Pepper,Cucumber,"Great Value Italian Style Bread Crumbs, 15 oz","Great Value Finely Shredded Parmesan Cheese, 6 oz","Great Value Frozen Rising Crust Supreme Pizza, 30.7 oz",Nature Valley Chocolate Pretzel Nut Chewy Granola Bars,Great Value Long Grain Enriched Rice,Broccoli Stir-Fry,Poke Marinade and Sauce ,Great Value Blueberries,Great Value Frozen Mango Chunks,Great Value Frozen Chopped Spinach,Bananas,Blue Diamond Unsweetened Original Almond Milk,Tropicana 100% Orange Juice (some pulp),Kroger 100% Pineapple Juice (unsweetened),Zucchini,Simple Truth Organic Tofu Extra Firm,"Classico Signature Recipes Traditional Basil Pesto Sauce and Spread, 8.1 oz Jar","Frozen Cooked Medium Peeled & Deveined Tail-On Shrimp, 12 oz"
ingredient type,starchy vegetable,bean,bean,vegetable,protein,protein,protein,grain,grain,snack,protein,protein,starchy vegetable,starchy vegetable,fat,fat,vegetable,sauce,sauce,sauce,sauce,sauce,sauce,protein,vegetable,vegetable,vegetable,grain,dairy,meal,snack,carb,vegetable,sauce,fruit,fruit,vegetable,fruit,dairy,fruit,fruit,vegetable,protein,sauce,protein
servings per container,3.5,3.5,3.5,3.5,3,8,1,22,22,6,22,4,1,1,,,,,,,,,,,7,1,1,,,6,,50,7,16,3,10,4,,8,6,8,,0,4,4
serving size,1/2 cup,1/2 cup,1/2 cup,1/2 cup,3 oz,2 oz,1 can,1 slice,1 slice,1 oz,1 patty,4 oz,1 medium potato (114 g),1 medium potato (148 g),1 tbsp,1tbsp,2 cups (94g),1 tbsp,1 tbsp,1 tbsp,1 tbsp,2 tbsp,2 tbsp,1 egg,1/2 cup,1 pepper (100 g),1 cucumber (104g),1/3 cup,1/3 cup,1/6 pizza,1,1/4 cup,1 cup,1 tbsp,1 cup,1 cup,1 cup,1 banana,1 cup,8 fl oz,8 fl oz,1 zucchini,1 pack,1/4 cup,11
calories,45,110,110,60,80,45,100,60,70,170,200,190,103,110,50,120,15,15,5,20,50,140,70,70,25,20,16,110,110,330,150,160,30,50,100,130,35,105,30,110,120,33,270,240,100
total fat (g),0.5,0,2,0,0.5,0.5,4.5,0.5,1,15,13,11,0,0,6,14,0,0,0,0,6,14,6,5,0,0,0,1.5,7,12,5,0,0,0,1.5,0.5,0.5,0.4,2.5,0,0,0.6,13.5,24,1.5
saturated fat (g),0,0,0,0,0,0,1.5,0,0,2,3,2.5,0,0,1.5,2,0,0,0,0,1,2.5,1,1.5,0,0,0,0,4,4.5,2,0,0,0,0,0,0,0.1,0,0,0,0.2,1.5,4.5,0.5
trans fat (g),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0
polyunsaturated fat (g),0,0,0,0,0,0,1.5,0,0,0,4.5,0,0,0,2.5,0,0,0,0,0,3,0,3.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0.5,0,0,0,0,0,0
monounsaturated fat (g),0,0,0,0,0,0,4,0,0,0,5,0,0,0,1,0,0,0,0,0,1.5,0,1.5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.5,0,0,0,0,0,0
cholesterol (mg),0,0,0,0,35,20,75,0,0,0,35,80,0,0,0,0,0,0,0,0,5,5,0,185,0,0,0,0,20,30,0,0,0,0,0,0,0,0,0,0,0,0,0,5,180
sodium (mg),200,270,120,300,270,180,300,110,135,0,400,80,41,0,100,0,10,600,900,160,110,260,560,70,180,3,2,420,340,810,110,0,20,710,0,0,80,1,170,0,35,16,45,590,710
total carbohydrates (g),9,20,18,11,0,0,0,11,13,5,10,0,24,26,0,0,3,3,1,5,1,2,3,0,5,5,4,65,1,42,24,36,7,11,24,29,4,27,1,26,30,6,9,5,2
dietary fiber (g),1,6,4,3,0,0,0,2,1,3,0,0,4,2,0,0,2,2,0,0,0,0,0,0,1,2,2,21,0,2,1,1,2,0,6,3,3,3.1,1,0,1,2,3,1,0
total sugars (g),2,1,3,5,0,0,0,1,2,1,0,0,7,1,0,0,1,2,0,4,0,1,2,0,3,2,2,1,0,4,9,0,2,9,17,27,0,14,0,22,26,4.9,3,0,0
added sugars (g),0,0,0,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,1,2,0,0,0,0,2,0,13,8,0,0,9,0,0,0,0,0,0,0,0,0,0,0
protein (g),1,7,6,3,18,0,16,4,2,8,9,20,2,3,0,0,1,0,1,0,0,0,1,6,1,1,0,4,10,0,2,3,2,1,0,1,3,1.3,1,2,0,2.4,27,3,20
potassium (mg),125,440,210,133,210,110,0,0,30,210,0,0,0,620,0,0,232,0,0,0,0,0,0,70,93,0,152,0,0,0,0,50,200,55,130,340,245,422,160,450,260,0,282,0,0
vitamin A (mg),0,0,0,0,0,0,18,0,0,0,0,0,"3,942",0,90,0,0,0,0,0,0,0,0,80,0,63,0,0,0,72,0,0,0,0,0,0,0,10,150,0,0,63,0,225,36
calcium (mg),14,50,30,17,0,0,325,50,20,30,0,104,52,20,0,0,31,0,0,0,0,0,0,30,0,13,16,78,325,195,0,10,29,0,0,40,124,0,450,20,0,39,390,195,104
vitamin D (mcg),0,0,0,0,2,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0
vitamin C (mg),0,0,0,0,0,0,0,0,0,0,0,0,11.1,27,0,0,4,0,0,0,0,0,0,0,0,120,0,0,0,9,0,0,0,0,0,101,0,15.3,0,90,72,52,0,7.2,0
iron (mg),0,2.2,1.2,1,1.2,0.6,1.7,0.8,1,1,0.4,1.8,0.7,1.1,0,0,1,0,0,0,0,0,0,0.9,0,0.4,2,1.1,0,2.7,0.9,1.9,1,0,0,0,1.6,0.2,0.7,0,0,0.36,4.32,1.08,0.36
vitamin b-6 (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0.1,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.9,0,0,0
magnesium (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32,15,0,0,33.6,0,0,0
thiamine (mg),0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.26,0,0,0,0,0,0,0,0,0,0,0,0,0
riboflavin (mg),0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
niacin (mg),0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.4,0,0,0,0,0,0,0,1.9,0,0,0,0,0,0,0,0,0,0,0,0,0
folate (mcg),0,0,0,0,0,0,0,0,20,0,0,0,0,0,0,0,128,0,0,0,0,0,0,25,0,0,0,0,0,0,0,174,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin k (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin b-12 (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
zinc (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
vitamin e (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.5,0,0,0,0,0,0
biotin (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
pantothenic acid (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
phosphorus (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,20,0,0,0,0,0,0
iodine (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
selenium (mcg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
choline (mg),0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,150,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
尝试：
=ARRAYFORMULA(MMULT(
INDIRECT("ingredients!B5:"&ADDRESS(COUNTA(ingredients!A5:A)+4,
MAX(IF(ingredients!1:1="",,COLUMN(ingredients!1:1))))),
INDIRECT("recipes!B2:"&ADDRESS(COUNTA(recipes!A2:A)+1,
MAX(IF(recipes!1:1="",,COLUMN(recipes!1:1)))))))