将python生成的输出导出到excel文件

Question

Given below is some part of data, I want to export the data from output box in Jupyter Notebook to the excel file. The data is quite huge like 10k lines.

17:38:00 17:38:01 17:38:02 17:38:03 17:38:04 . . . Following is my code:-

enter code here
import pandas as pd
import numpy as np
load_var=pd.read_csv(r'path')

# Select the dataframe
col_var=load_var['End Seconds']

# Converting the dataframe to array

a=col_var.values.tolist()


# define the function for time conversion
def convert(seconds): 
seconds = seconds % (24 * 3600) 
hour = seconds // 3600
seconds %= 3600
minutes = seconds // 60
seconds %= 60

return "%d:%02d:%02d" % (hour, minutes, seconds) 


for n in a:
print(convert(n))

1)Please suggest the addition to be made in the code.

Thank you.

Answer 1

使用df.to_excel()导出到 excel 文件

df.to_excel(r'Path to store the exported excel file\File Name.xlsx', index = False)

Answer 2

You have to apply your function to the series that you want to modify like this:

load_var = pd.read_csv(r'path')    
load_var['End Seconds'] = load_var['End Seconds'].apply(convert)

Now you have the converted data in memory which can be saved to Excel using df.to_excel() as Fahmi mentioned.