[英]How to update the last column value in all the rows in csv file using python(pandas)
[英]Python - Compare last column in all rows of a .csv file
我已經從 a.csv 文件中讀取了所有行,如下所示:-
from csv import reader, writer
# open file in read mode
with open('data.csv', 'r') as read_obj:
# pass the file object to reader() to get the reader object
csv_reader = reader(read_obj)
# Iterate over each row in the csv using reader object
for row in csv_reader:
現在,我試圖只比較 csv 文件中每一行的最后一列。 csv文件中的數據是這樣的:-
Row 1: 0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,1
Row 2: 0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0
Row 3: 0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1
Row 4: 0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1
Row 5: 0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0
我只需要比較每一行的最后一列的 1 和 0。在最后一列中,如果第一行有 1,第二行有 0,那么我們打印第一行。
例如 1:
Row 1: 0,0,1,1
Row 2: 0,1,1,0
然后,我打印第 1 行
例如 2:
Row 1: 0,0,1,1
Row 2: 0,1,1,1
Row 3: 0,1,1,0
然后,我打印第 2 行
對此問題的任何建議將不勝感激。 謝謝!
使用 Pandas
import pandas as pd
path = (r"data.csv")
data = pd.read_csv(path)
last_column = data.iloc[: , -1]
我希望這有幫助。 它向您展示了如何:
'1'
和'0'
轉換為1
和0
,並存儲該行import csv
all_rows = []
with open('data.csv', newline='') as in_f:
reader = csv.reader(in_f)
# Read all rows and convert columns from string to int
for row in reader:
all_rows.append([int(col) for col in row])
last_row = all_rows[-1]
previous_row = all_rows[-2]
if previous_row[-1] == 1 and last_row[-1] == 0:
with open('new.csv', 'w', newline='') as out_f:
writer = csv.writer(out_f)
writer.writerow(previous_row)
當我在Ex 1上運行它時:
0,0,1,1
0,1,1,0
我得到:
0,0,1,1
在Ex 2上:
0,0,1,1
0,1,1,1
0,1,1,0
我明白了
0,1,1,1
在一個大例子上:
0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,1
0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0
0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1
0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1
0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0
我得到第 4 行:
0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1
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