熊猫 如何在写入数据框之前向 CSV 添加详细信息



我需要写入一个csv文件,该文件有3-5行(行(关于该文件的详细信息,然后是3行空白行,然后才能附加到数据框。

这是文件的外观。(注:带有"#"的行是演示注释(

some details
some more details
some details that were not covered in last two details
#blankline1
#blankline2
#blankline3
A1;B;C  #headers
1231;1241;abc
1232;1242;abd
1233;1243;abe
1234;1244;abf
.
.
.

这是我到目前为止尝试过的:

import pandas as pd
file_name = 'my_csv_file.csv'
df1 = pd.Dataframe({"some details":})
df2 = pd.DataFrame({"some more details":})
df3 = pd.DataFrame({"some details that were not covered in last two details'})
df4 = pd.DataFrame({"nnn":}) #write 3 blank lines
df5 = pd.DataFrame({"A":[1231 1232 1233 1234]
"B":[1241 1242 1243 1244]
"headers":[abc abd abe abf] }
df1.to_csv(file_name, sep=';', mode='a', index=False)
df2.to_csv(file_name, sep=';', mode='a', index=False)
df3.to_csv(file_name, sep=';', mode='a', index=False)
df4.to_csv(file_name, sep=';', mode='a', index=False)
df5.to_csv(file_name, sep=';', mode='a', index=False)

但这似乎行不通。谁能帮我解决这个问题?

您可以使用字符串模板并保留{}将数据框插入其中。整个事情变得更加可读。有用的事情要做:1(对多行字符串使用"""和2(使用注释来记住你为什么做某事。

import pandas as pd
df = pd.DataFrame({
"A": [1231, 1232, 1233, 1234],
"B": [1241, 1242, 1243, 1244],
"C": ['abc', 'abd', 'abe', 'abf']
})
# Setups the template that the client requested with 3-5 rows of information 
# Followed by 3 blank rows and the dataframe
template = """
some details
some more details
some details that were not covered in last two details

{}"""
with open('test.txt', 'w') as fp:
fp.write(template.format(df.to_csv(index=False)))

测试.csv:

some details
some more details
some details that were not covered in last two details

A,B,C
1231,1241,abc
1232,1242,abd
1233,1243,abe
1234,1244,abf

注:数据来自用户塔拉斯

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