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For 99 days, each person can be paired with the remaining 99 people separately.
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Read by row, put it in the list, and then set down the duplicates.
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If you're using a csv file, read it straight into the normal file and use split( for each of your rows","Split, your ID is listed in the second column, note that you need to remove the carriage return at the end of each line. Construct a dictionary based on id. Something like this:
Then go through the dictionary and find the mean for each term. **Don't write, leave it to yourself to contact.
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1. Create a new one to combine two lists into one list.
2. Chinese encoding statement note: coding=gbk.
3. Define two columns of knowledge tables, which are s1 and s2 respectively, and assign values.
4. Use the return + sign to combine the two lists into one.
5. Use the print() function to output s3.
6. Run the script to output the list of newly combined answers.
Notes:python@ used as a function modifier, you can modify the function in the definition layer of the module or class, appear in the line before the function definition, and are not allowed to be on the same line as the function definition.
A modifier is a function that takes the modified function as an argument and returns the modified function with the same name or something else that can be called.
@functionname When the interpreter reads the answer to the @ modifier, it will give priority to the content after the @, and directly take the function or class of the next line of @ as the parameter of the function after the @, and then assign the return value to the function object of the next modification.
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You try merging two tables with pandas' merge function, but this function is based on! Listed! Overlapping cases are automatically merged or linked keys.
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The dic= of the proposition has a key repetition and cannot exist in memory. will be merged into .
You're not figuring out the data entered.
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By default, if there are multiple matches, Selenium will match the first one;
The content you should be matched with should not be the first.
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Due to the uncertainty of the order of the elements of the collection.
The following program merges the rows in an uncertain order, but meets the requirement of taking only one of the same value.
originfile=open(r'') to open the file where the data is stored.
myset=set() to create the set myset
for line in : Read each line of the file.
line= Remove spaces and line breaks before and after each line.
Add numbers to a collection, and existing values will not be added due to the uniqueness of the collection.
result=','.join(myset) commas, merge the collection into a single string.
targetfile=open(r'','w') to open the target file write.
Write the results to the target file.
Close the original file.
Close the target file.
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# read data from filewith open("data_", 'rt') as src:
data = [ for ln in src]# distinct data and write to file with ', ' join
with open("data_", 'wt') as sto:, '.join(list(set(data)))) in python set is "unordered collection of unique elements", which can automatically eliminate duplicate data.
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What happens if you replace all with commas? Hey!
Its practical shell is simple.
cat urfile|uniq|sed -i 's//,/g'Didn't test it...
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