DataFrame 未填充从 Python 中的 Loop 生成的值

Question

I am running a for loop in order to create a dataframe of 'New' values.

New = 0
Approved = 0
df = pd.DataFrame()
for row, rowdata in enumerate(combined):
    for col, value in enumerate(rowdata.values()):
        if col == 0:
            print(value)
        if col == 2:
            New += value
            print('Original New')
            print(value)
        if col == 4:
            Approved = value
            if Approved > 0:
                New = New - Approved
            print('Updated New')
            print(New)
        df['New'] = New

Everything in this code seems to be working except for the last df['New'] = New statement. Any ideas on why that might be happening would be greatly appreciate.

Answer 1

df['New'] = New is a wrong way to insert a single row.

One way to fix it:

all_rows = []
New = 0
Approved = 0
for row, rowdata in enumerate(combined):
    for col, value in enumerate(rowdata.values()):
        if col == 0:
            print(value)
        if col == 2:
            New += value
            print('Original New')
            print(value)
        if col == 4:
            Approved = value
            if Approved > 0:
                New = New - Approved
            print('Updated New')
            print(New)
        # Accumulate all the rows
        all_rows.append(New)
# Finally create a dataframe 
df = pd.DataFrame({'New': all_rows})