在写入csv时使用字典键作为坐标

Question

I have a dictionary which has cell coordinates as the keys and the desired cell content as the value, eg:

dict1 = {'AN32': '2', 'AZ17': '47', ect...}

The cell range is D4: AZ52

I want to write this into a csv file.

The problem I am encountering when it comes to design is that the dictionary isn't necessarily ordered alphabetically or numberically as can be seen in the example above.

I know how to write to a .csv file with

with open('example.csv', 'w') as f:

    for i in dict1:

        f.write(str(dict1[i]) + ',')

this would write the values out in order, which would mean they wouldn't be in the correct cell, I need them to be in the cell which is specified by their key.

Answer 1

This code uses a list comprehension to build each row.

First we create a list of the column labels, using the uppercase string from the string module, and we build a list of all the column labels using a simple list comprehension.

Then we use a slightly more complicated list comprehension that makes a key by combining each column label with the current row number (converted to a string). That key is passed to dict1 's .get() method to get the value associated with that key. We use an empty string '' as the 2nd arg to .get() so that if a key doesn't exist in the dict we get an empty string.

Then we use the .join() method to join all those strings, separated by commas.

from string import uppercase

#Make a list of the column letters
cols = list(uppercase[3:]) + ['A' + c for c in uppercase]
#print(cols)

with open('example.csv', 'w') as f:
    for r in range(4, 53):
        row = ','.join([dict1.get(c + str(r), '') for c in cols])
        f.write(row + '\n')

---

If the values in dict1 are actually int rather than strings, then you need to convert them to strings before attempting to join them. Change the list comprehension to

row = ','.join([str(dict1.get(c + str(r), '')) for c in cols])

That will cope even if some values are strings and some are numbers.