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嗨,我有一个像这样的 Python 脚本。我在 Python 版本 3.4.2 中运行它。
import csv
import sqlite3
def createTable(cursor, rows, tablename):
tableCreated = False
for row in rows:
if not tableCreated:
sql = "CREATE TABLE %s(ROW INTEGER PRIMARY KEY, " + ", ".join(["c%d" % (i+1) for i in range(len(row))]) + ")"
cur.execute(sql % tablename)
tableCreated = True
sql = "INSERT INTO %s VALUES(NULL, " + ", ".join(["'" + c + "'" for c in row]) + ")"
cur.execute(sql % tablename)
conn.commit()
conn = sqlite3.connect(":memory:")
cur = conn.cursor()
for filename, tablename in [("in1.csv", "CSV1"), ("out1.csv", "CSV2")]:
with open(filename, "r") as f:
reader = csv.reader(f, delimiter=',')
rows = [row for row in reader]
createTable(cur, rows, tablename)
sql = """WITH
MATCHES AS(SELECT CSV2.*
, CSV1.ROW as ROW_1
, CSV1.C4 as C4_1
, CSV1.C5 as C5_1
FROM CSV2
LEFT JOIN CSV1
ON CSV1.C4 LIKE '%' || CSV2.C2 || '%'
),
EXACT AS(CSV1.C4 = CSV1.C5
SELECT *
FROM MATCHES
WHERE C4_1 = C5_1
),
MIN_ROW AS(SELECT C1
, min(ROW_1) as ROW_1
FROM MATCHES
WHERE C1 NOT IN (SELECT C1 FROM EXACT)
GROUP BY C1, C2, C3, C4, C5
)
SELECT *
FROM EXACT
UNION
SELECT MATCHES.*
FROM MIN_ROW
INNER JOIN MATCHES
ON MIN_ROW.C1 = MATCHES.C1
AND (MIN_ROW.ROW_1 = MATCHES.ROW_1 OR MIN_ROW.ROW_1 IS NULL)
ORDER BY C1"""
for row in cur.execute(sql):
print (row)
运行这个脚本给我
Traceback (most recent call last):
File "script.py", line 55, in <module>
for row in cur.execute(sql):
sqlite3.OperationalError: near "CSV1": syntax error
我已经研究这个脚本很长一段时间了,但我完全迷失了。如果有人能用一个工作脚本让我摆脱这个困境,我真的很感激。请查找以下示例 CSV 文件。
in1.csv
Homo sapiens,Vertebrate Taxonomy Ontology,direct,Homo sapiens,Homo sapiens,Vertebrate Taxonomy Ontology
Homo sapiens,Systematized Nomenclature of Medicine - Clinical Terms,direct,Homo sapiens,Homo sapiens,Systematized Nomenclature of Medicine - Clinical Terms
Homo,Vertebrate Taxonomy Ontology,direct,Homo sapiens,Homo,Vertebrate Taxonomy Ontology
out1.csv
!Sample_title, !Sample_geo_accession, !Sample_status, !Sample_type, !Sample_source_name_ch1, !Sample_organism_ch1, !Sample_characteristics_ch1, !Sample_characteristics_ch1, !Sample_characteristics_ch1, !Sample_characteristics_ch1, !Sample_characteristics_ch1, !Sample_characteristics_ch1, !Sample_molecule_ch1, !Sample_extract_protocol_ch1, !Sample_label_ch1, !Sample_label_protocol_ch1, !Sample_hyb_protocol, !Sample_scan_protocol, !Sample_description, !Sample_data_processing, !Sample_platform_id
PBMC_S.aureus_MSSA_INF005, GSM173178, Public on march 16 2007, ribonucleic acid, PBMC_S. aureus, Homo sapiens, Age: 10 years- when sample taken, Gender: male, Race: Hispanic, Illness: Osteomyelitis, Treatment: Cefazolin, Pathogen: S. aureus- MSSA, total ribonucleic acid, RNeasy mini, biotin, Biotinylated complementary rna were prepared according to the standard Affymetrix protocol., Standard Affymetrix protocol., GeneChips were scanned using the Agilent GeneArray 2500 Scanner., The subject was infected with S. aureus- MSSA., The data were analyzed with Microarray Suite version 5.0 (meconium aspiration syndrome 5.0) using Affymetrix default analysis settings and global scaling as normalization method. The trimmed mean target intensity of each array was arbitrarily set to 500., GPL96
PBMC_S.pneumoniae_INF009, GSM173179, Public on march 16 2007, ribonucleic acid, PBMC_S. pneumoniae, Homo sapiens, Age:4 months- when sample taken, Gender: male, Race: Caucasian, Illness: Abscess, Treatment: Cefazolin, Pathogen: S. pneumoniae, total ribonucleic acid, RNeasy mini, biotin, Biotinylated complementary rna were prepared according to the standard Affymetrix protocol., Standard Affymetrix protocol., GeneChips were scanned using the Agilent GeneArray 2500 Scanner., The subject was infected with S. pneumoniae., The data were analyzed with Microarray Suite version 5.0 (meconium aspiration syndrome 5.0) using Affymetrix default analysis settings and global scaling as normalization method. The trimmed mean target intensity of each array was arbitrarily set to 500., GPL96
最佳答案
数据库提示 EXACT
定义中存在多余的 CSV1.C4 = CSV1.C5
。
关于python - sqlite3.操作错误: near "CSV1": syntax error,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/27743586/
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