Table 1 Qualitative composition of SERQUEL 25 mg tablets
Ingredient Function Reference to standards
Tablet core
Quetiapine fumarate Drug substance This document
Povidone Binder USP
Dibasic calcium phosphate dihydrate Diluent USP
Microcrystalline cellulose Diluent USNF
Sodium starch glycolate Disintegrant USNF
Lactose monohydrate Diluent USNF
Magnesium stearate Lubricant USNF
Purified water Granulating vehicle USP
以上表示来自.txt文件的示例数据:
我有一个要匹配的物质名称列表。(csv文件中的物质示例为'Quetiapine fumarate', 'Povidone', 'Magnesium stearate' etc etc.)
我将它们存在于csv文件中。我想迭代文本文件的每一行,并创建从一种物质到另一种物质的组。输出示例:
['Quetiapine fumarate Drug substance This document'],
['Povidone Binder USP'],
['Lactose monohydrate Diluent USNF'],
['Magnesium stearate Lubricant USNF']
假设我的csv物质清单中包含“富马酸喹硫平”,“聚维酮”,“一水乳糖”,“硬脂酸镁”。
如何在Python中执行此操作
file = open(FOLDER_NAME + '/' + name, 'r', encoding='utf-8')
data = file.readlines()
for line in data:
words=line.split()
print(words)
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