所以我要完成的是,每次在数据框中找到一条缺少日期和前五列其余部分的行,然后复制其上方的行的值。示例:
0| Date | Name | Amount | Address
1| 12/04/2018| Pepe | $1.00 | Avenue 1
2| NaT | NaN | NaN | NaN (In this line i need the values of the line above)
3| 1/04/2018 | Tito | $3.00 | Avenue 2
。
for file in files:
fileName = os.path.splitext(file)[0]
if fileName == 'xxxxxxx (copy)':
df = pd.read_excel(file)
for index, row in df.iterrows():
if pd.isna(df['Date'] 'And the rest of the 5 columns'):
#Copy the values of the line above it
答案 0 :(得分:1)
使用thunk
继续上一行。
示例:
ffill()
答案 1 :(得分:0)
所以我用ffill(forward fill)方法解决了,这是代码:
for file in files:
fileName = os.path.splitext(file)[0]
if fileName == 'File1':
df = pd.read_excel(file)
new_df = df.fillna(method="ffill")
writer = pd.ExcelWriter('File1.xlsx', engine='xlsxwriter')
new_df.to_excel(writer, 'Sheet 1')
writer.save()