Problem with Generator

[DeaD_EyE]

You can use the module statistics.

Buran's code extended.
Instead of list comprehension you should use a for-loop.
The cause is, that you can't catch Exceptions inside a list comprehension.
In the case if one value is not an integer, you get nothing back.

With pandas this should be easier, but I don't use it.

import csv
import statistics


def get_raisedAmt(file, round):
    """
    Generator which yields the column 'raisedAmt'
    from selected round.
    """
    with open(file) as fd:
        rdr = csv.DictReader(fd)
        # each iteration of DictReader
        # yields an dictionary
        # the column header is parsed automatically
        for item in rdr:
            if item["round"] == round:
                try:
                    value = int(item["raisedAmt"])
                except ValueError:
                    continue
                else:
                    yield value


# If you want to reuse the yielded values,
# use tuple, list or other Type you want
my_raised_amt = list(get_raisedAmt("techcruncher.csv", "a"))


# If you know before, that you don't need the original values
# you let statistics.mean or statistics.median consume the generator
# If you have many rows, this saves a lot of memory
my_mean = statistics.mean(get_raisedAmt("techcruncher.csv", "a"))
print("my_mean:", my_mean)

# Now a little bit statistics
mean = statistics.mean(my_raised_amt)
median = statistics.median(my_raised_amt)
print("Mean:", mean)
print("Median:", median)

# there is also a faster method: statistics.fmean
fmean = statistics.fmean(my_raised_amt)
print("fmean:", fmean)