Question

我正在尝试从此代码中以excel或csv文件的形式输出。但是由于输出在列表中，因此我无法执行。有没有一种方法可以将列表对象转换为数据框并在excel或csv中获取值？

df1 = pd.read_excel('Training.xls') # get input from excel files
df2 = pd.read_excel('Newsss.xlsx') #comparing them
info = df2.shape
totalRow = info[0]

print(totalRow)

    for r in range (0,totalRow):
        lst = df2.iloc[r,:]
        x=df1.iloc[r,1]
        cnt = 0
        l = []

        for i in lst:
            if cnt==0:
                l.append(i)
                cnt=1
                continue
            elif (i-x)==0:
                l.append(1) # condition for my program to work on excel files
            elif abs(i-x) > 0.2:
                l.append(0)
            else:
                l.append(i)
        print(l)

目前这是我在print（l）时获得的输出，但我需要将此值存储在excel或csv中，按行排列，

Output of the code

Answer 1

您可以创建一个包含所有列表l的矩阵，然后转换为数据框以将其写入csv：

# Big matrix with all your lists
m = []

for r in range (0,totalRow):
    lst = df2.iloc[r,:]
    x=df1.iloc[r,1]
    cnt = 0
    l = []

    for i in lst:
        if cnt==0:
            l.append(i)
            cnt=1
            continue
        elif (i-x)==0:
            l.append(1) # condition for my program to work on excel files
        elif abs(i-x) > 0.2:
            l.append(0)
        else:
            l.append(i)

    # Append your new list to the matrix
    m.append(l)

# Create the data frame
df = pd.DataFrame(m)

# If you have the columns names you may create the df this way
# If the columns names are the same of df1:
columns_names = df1.columns
df = pd.DataFrame(m, columns = columns_names)

file_name = "your_file_name.csv"
df.to_csv(file_name, m)

# You can add a separator like ',', '\t', ';' ...
# df.to_csv(file_name, m, sep = ',')

如果必须转置矩阵，可以执行以下操作：

import numpy as np

# Create a matrix object
m = np.matrix(m)

# Transpose your matrix
m = m.T

比以前您可以将数据存储在数据框中。

如何使用excel

1 个答案: