italialex7 italialex7 - 1 year ago 141
Python Question

How to check user input with csv file and print data from specific column?

I have a CSV file, which contains patch names, their release date and some other info in separate columns. I am trying to write a Python script that will ask the user for a Patch name and once it gets the input, will check if the Patch is in the CSV file and print out the Release Date.

So far, I have written the following piece of code, which I based based on this answer.

import csv

patch = raw_input("Please provide your Patchname: ")

with open("CSV_File1.csv") as my_file1:
reader = csv.DictReader(my_file1)
for row in reader:
for k in row:
if row[k] == patch:
print "According to the CSV_File1 database: "+row[k]

This way I get the Patch name printed on the screen. I don't know how to traverse the column with the Dates, so that I can print the date that corresponds to the row with the Patch name that I provided as input.

In addition, I would like to check if that patch is the last released one. If it isn't, then print the latest one along with its release date. My problem is that the CSV file contains patch names of different software versions, so I can't just print the last of the list. For example:

PatchXXXYY,...other columns...,Release Date,... <--- (this is the header row of the CSV file)

So, if my input is "Patch10000", then I should get its release date and the latest available Patch, which in this case would be Patch10002, and its release date. But NOT Patch20000, as that would be a different software version. A preferable output would like this:

According to the CSV_File1 database: Patch10100 was released on
"date". The latest available patch is "Patch10103", which was
released on "date".

That's because the "XXX" digits in the PatchXXXYY above, represent the software version, and the "YY" the patch number. I hope this is clear.

Thanks in advance!

Answer Source

You're almost there, though I'm a wee bit confused - your sample data doesn't have a header row. If it doesn't then you shouldn't be using a DictReader but if it does you can take this approach.

version = patch[:8]
latest_patch = ''
last_patch_data = None
with open("CSV_File1.csv") as my_file1:
    reader = csv.DictReader(my_file1)
    for row in reader:
        # This works because of ASCII ordering. First,
        # we make sure the package starts with the right
        # version - e.g. Patch200
        if row['Package'].startswith(version):
            # Now we grab the next two numbers, so from
            # Patch20042 we're grabbing '42'
            patch_number = row['Package'][8:10]
            # '02' > '' is true, and '42' > '02' is also True
            if patch_number > latest_patch:
                # If we have a greater patch number, we
                # want to store that, along with the row that
                # had that. We could just store the patch & date
                # but it's fine to store the whole row
                latest_patch = patch_number
                last_patch_data = row

        # No need to iterate over the keys, you *know* the
        # column containing the patch. Presumably it's
        # titled 'patch'
        #for k in row:
        #    if row[k] == patch:
        if row['Package'] == patch:
            # assuming the date header is 'date'
            print("According to the CSV_File1 database: {patch!r}"
                  " was released on {date!r}".format(patch=row['Package'],

    # `None` is a singleton, which means that we can use `is`,
    # rather than `==`. If we didn't even *start* with the same
    # version, there was certainly no patch. You may prefer a
    # different message, of course.
    if last_patch_data is None:
        print('No patch found')
        print('The latest available patch is {patch!r},'
              ' which was released on {date!r}'.format(patch=last_patch_data['Package'],
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