0
我目前正在研究一個項目,我需要從PubMed下載幾千條引文。我目前使用BioPython並寫了這個代碼:BioPython計數錯誤
from Bio import Entrez
from Bio import Medline
from pandas import *
from sys import argv
import os
Entrez.email = "my_email"
df = read_csv("my_file_path")
i=0
for index, row in df.iterrows():
print (row.id)
handle = Entrez.efetch(db="pubmed",rettype="medline",retmode="text", id=row.id)
records = Medline.parse(handle)
for record in records:
try:
abstract = str(record["AB"])
except:
abstract = "none"
try:
title = str(record["TI"])
except:
title = "none"
try:
mesh = str(record["MH"])
except:
mesh = "none"
path = 'my_file_path'
filename= str(row.id) + '.txt'
filename = os.path.join(path, filename)
file = open(filename, "w")
output = "title: "+str(title) + "\n\n" + "abstract: "+str(abstract) + "\n\n" + "mesh: "+str(mesh) + "\n\n"
file.write(output)
file.close()
print (i)
i=i+1
不過,我收到時運行這些代碼以下錯誤:
Traceback (most recent call last):
File "my_file_path", line 13, in <module>
handle = Entrez.efetch(db="pubmed",rettype="medline",retmode="text", id=row.id)
File "/.../anaconda/lib/python3.5/site-packages/biopython-1.68-py3.5-macosx-10.6-x86_64.egg/Bio/Entrez/__init__.py", line 176, in efetch
if ids.count(",") >= 200:
AttributeError: 'numpy.int64' object has no attribute 'count'
下面是CSV文件的前幾列:
id
10029645
10073846
10078088
10080457
10088066
...
請編輯您的問題併發布您要轉換爲DF的CSV樣本 - 前5行左右應該沒問題。 – MattDMo