我想找到包含value1|value2
的单元格,以便我可以从该单元格中移除|value2
并复制value1
正好在其下方的行。
例如,如果一行包含:
value0 value1 value2 values3|values33 values4
然后,我会在value0 value1 value2 values33 values4
下面插入一个新行,原始行将更改为value0 value1 value2 values3 values4
。
到目前为止,我已经设法找到包含|的细胞但不知道如何进一步发展。
总之,我想知道:如何在找到匹配项后编辑单元格,并使用应用的更改复制其下方的行,同时对当前行应用更改所以它不再包含该值。
from openpyxl import load_workbook
wb = load_workbook('file.xlsx')
sheet = wb['Sheet1']
s = '|'
for row in sheet.iter_rows():
for cell in row:
if s in str(cell.value):
print(cell.value)
输出:
value1|value2
value3|value4
...
答案 0 :(得分:0)
IIUC,这是使用pandas
import pandas as pd
#Read excel file
df = pd.read_excel('duplicate.xlsx')
for c in df.columns:
#for each column check if it contains required character
dd = df[df[c].str.contains('|', regex=False)]
if len(dd) > 0:
#If contains iterate the rows
for i, row in dd.iterrows():
#Split the cell value by character
vals = row[c].split('|')
#Check if the resultant list has more than one value
if len(vals) > 1:
#Create a new data frame for the number of resultant values
dd = pd.DataFrame([row]*(len(vals)))
rows = len(dd)
roc = 0
#replace the values
for v in vals:
dd[c].iloc[roc] = v
roc += 1
#append the new dataframe to the main data frame
df = df.append(dd)
#Finally remove the rows that contains character from the column in iteration
df = df[~df[c].str.contains('|', regex=False)]
Excel输入:
输出: