如何使用PANDAS python按单个列对CSV行进行排序 [英] How to sort CSV rows by a single column using PANDAS python
问题描述
当前，在我的项目中，我试图按单个列对CVS工作表的行进行排序，我正在使用PANDAS，并且已经在互联网上看到了多个示例，但是当我自己实现此功能时，我无法
Currently on my project I am trying to sort the rows of a CVS sheet by a singular column, I am using PANDAS and I have seen several examples posted all around the internet, however when trying to implement this myself I have been unable to.
db = pd.read_csv(databasefile, skip_blank_lines=True, names=['ExampleOne','ExampleTwo','ExampleThree','ExampleFour'], header=1)
db.drop_duplicates(inplace=True)
db.sort_values(by=['ExampleOne'], ascending=[True])
db.to_csv(databasefile, index=False)
在我上面的代码中，我想将CSV转换为供PANDAS使用的数据帧，在该数据帧中，我删除所有重复的行，并按ExampleOne列进行排序.最后，我将该信息发送回CSV.但是，在代码运行无误后查看CSV时，数据不会以任何顺序排序.
In the code above my thought would be that I am turning a CSV into a dataframe for PANDAS to use, in that dataframe I am dropping any duplicated rows and am sorting by the ExampleOne Column. In the end I am sending that information back to the CSV. However, when viewing the CSV after the code runs with no errors the data is not sorted in any order.
这里是txt格式的CSV，对前60行左右的行进行了排序，但是由于在此过程中更早，所以我将多个CSV合并为一个CSV.
Here is the CSV in a txt format, the first 60 or so rows are sorted but that is becuase earlier in this process I am combining multiple CSV's together into one CSV.
谢谢您的阅读！我将不胜感激，因为任何问题都会给我带来任何帮助或建议，任何人都可以尝试一下.再次感谢您的阅读！
Thankyou for reading! I would appreciate any help or suggestions anyone would have me try out as this problem has been frustrating for me. Thanks again for reading!
推荐答案
databasefile = r"path"
databasefile2 = r"path"
db = pd.read_csv(databasefile, skip_blank_lines=True, names=['ExampleOne','ExampleTwo','ExampleThree','ExampleFour'], header=1)
print(db['ExampleOne'])
db.drop_duplicates(inplace=True)
db.sort_values(by=['ExampleOne'], ascending=True).to_csv(databasefile, index=False)
这是解决您问题的方法.
Here is a solution to your problem.
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