按列名筛选容器失效，如何实现匹配Column B并求和Column C？

Got it, let's figure out how to fix this issue. Your core goal is to sum up Column C values for matching Column B entries, but your current filter condition is miswritten—that's why it's not working. Let's break down the right approaches:

1. Understand the root of your filter problem #

The condition [DATA] = COLUMN B doesn't make logical sense here. You're trying to compare a DATA field with the column name Column B, not the actual values in that column. That's why neither adding quotes nor removing them helped—you're targeting the wrong thing entirely.

2. Use grouping (the easiest method for most tools) #

Most data processing tools (like Excel Power Query, Google Sheets, or low-code platform collection utilities) have a built-in "group by" feature that does exactly what you need without manual filtering:

• Load your collection data into the tool's editor
• Look for a "Group By" or "Aggregate" option
• Set the grouping column to Column B, then select "Sum" as the operation for Column C
• This will automatically output a table where each row shows a unique Column B value and the total sum of its corresponding Column C entries.

For example, in Excel Power Query:

Go to Data > From Table/Range > Transform > Group By > Set "Group by" to Column B, "New column name" to something like TotalC, "Operation" to Sum, "Column" to Column C.

3. If you need to use code/script #

If you're handling this with code (e.g., JavaScript, Python), you can loop through the data and accumulate sums using a dictionary/object to track each Column B value's total:

JavaScript example: #

// Your collection data as an array of objects
const collectionData = [
  { ColumnA: "AAAA", ColumnB: 1234, ColumnC: 54 },
  { ColumnA: "AAAA", ColumnB: 5678, ColumnC: 56 },
  { ColumnA: "AAAA", ColumnB: 1234, ColumnC: 46 }
];

// Calculate sums grouped by Column B
const sumResults = collectionData.reduce((acc, item) => {
  const bValue = item.ColumnB;
  acc[bValue] = (acc[bValue] || 0) + item.ColumnC;
  return acc;
}, {});

// Output: { 1234: 100, 5678: 56 }
console.log(sumResults);

Python example: #

collection_data = [
    {"ColumnA": "AAAA", "ColumnB": 1234, "ColumnC": 54},
    {"ColumnA": "AAAA", "ColumnB": 5678, "ColumnC": 56},
    {"ColumnA": "AAAA", "ColumnB": 1234, "ColumnC": 46}
]

sum_results = {}
for item in collection_data:
    b_val = item["ColumnB"]
    sum_results[b_val] = sum_results.get(b_val, 0) + item["ColumnC"]

# Output: {1234: 100, 5678: 56}
print(sum_results)

4. Fixing your filter if you still need it #

If you must filter records first (e.g., sum only for a specific Column B value like 1234), the correct condition depends on your tool's syntax, but it should look like this:

• For numeric values: Column B = 1234 (no quotes)
• For string values: Column B = '1234' (single quotes around the value)

Notice you're comparing the values in Column B to your target value, not comparing a DATA field to the column name itself.

内容的提问来源于stack exchange，提问作者Nim_chakram