如何跳过在数据框中添加换行符？

Question

我有下面的代码将 2 个数据帧列合并到一个数据帧中： 其中第一个包含预测文本 而另一部分则包含真实值

import pandas as pd
from google.colab import drive
drive.mount('/content/drive')

def load_jsonl(text_path):
    return pd.read_json(
                         path_or_buf = text_path,
                         lines=True
                        )

# get the path/directory
working_dir = "/content/drive/MyDrive/Class_B/"

df = load_jsonl(f'{working_dir}labels.jsonl')

# Using readlines()
file1 = open(f'{working_dir}3rd_col.txt', 'r')
Lines = file1.readlines()

col_3rd = pd.DataFrame(Lines, columns=['Ground_truth'])

result = pd.concat([df, col_3rd ], axis=1)
import json
reddit = result.to_dict(orient= "records")
print(type(reddit) , len(reddit))
with open(f"{working_dir}Class_B.jsonl","w") as f:
    for line in reddit:
        f.write(json.dumps(line,ensure_ascii=False) + "\n")

json行格式的输入文件

labels.jsonl

{"image_name": "1.JPG", "text": "Flattery is words of kindness for a"}
{"image_name": "2.JPG", "text": "potential favor."}

第三栏名称

3rd_col.txt

Flattery is words of kindness for a 
potential favor.  

我得到的结果文件如下

Class_B.jsonl

：

{"image_name": "1.JPG", "text": "Flattery is words of kindness for a", "Ground_truth": "Flattery is words of kindness for a \n"}
{"image_name": "2.JPG", "text": "potential favor.", "Ground_truth": "potential favor.  \n"}

预期结果：应该看起来没有

\n

{"image_name": "1.JPG", "text": "Flattery is words of kindness for a", "Ground_truth": "Flattery is words of kindness for a"}
{"image_name": "2.JPG", "text": "potential favor.", "Ground_truth": "potential favor."}

Answer 1

感谢@dkruit回答

import pandas as pd
from google.colab import drive
drive.mount('/content/drive')

def load_jsonl(text_path):
    return pd.read_json(
                         path_or_buf = text_path,
                         lines=True
                        )

# get the path/directory
working_dir = "/content/drive/MyDrive/Class_B/"

df = load_jsonl(f'{working_dir}labels.jsonl')

# Using readlines()
file1 = open(f'{working_dir}3rd_col.txt', 'r')
Lines = file1.read().splitlines()

col_3rd = pd.DataFrame(Lines, columns=['Ground_truth'])

result = pd.concat([df, col_3rd ], axis=1)
import json
reddit = result.to_dict(orient= "records")

with open(f"{working_dir}Class_B.jsonl","w") as f:
    for line in reddit:
        f.write(json.dumps(line,ensure_ascii=False) + "\n")