如何在 1 个 CSV 文件中组合文本和 pandas dataframe

Question

I am new to pandas and wondering if it is possible to combine text and pandas dataframe in a single csv file.

I can write the dataframe to a csv file without problem, but I would like to put some description above the dataframe to describe when did I collect the data. Please see the attachment about what I would like to achieve.

Thank you in advance.

Answer 1

Thank you for David's post. I think the "encoding='ISO-8859-1' is the key. What I did is put the description in the csv file first, run the script again, it added the dataframe underneath the description. Here is the code

pd.DataFrame.from_dict(dateDir, orient='index').to_csv('test.csv', encoding='ISO-8859-1',mode='a')

Answer 2

You really answered you own question

1. get CSV into string
2. use an f-string to modify it
3. save it as CSV

import pandas as pd
from datetime import datetime
df = pd.DataFrame([[i for i in range(0,10)] for j in range(0,10)], columns=[chr(97+i) for i in range(0,10)])
fname = "file.csv"
data = df.to_csv(index=False)
data = f'''Date of month: {datetime.now().month}
From Date: {str(datetime(2020,7,1))}
To Date: {str(datetime(2020,7,30))}


{data}'''
with open(fname, "w") as f:
    f.write(data)
print(data)

output

Date of month: 7
From Date: 2020-07-01 00:00:00
To Date: 2020-07-30 00:00:00


a,b,c,d,e,f,g,h,i,j
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9
0,1,2,3,4,5,6,7,8,9