Exporting Python results to CSV

Question

Please go easy, I am a student!

I am unable to export the results of the following code into a CSV. For each loop (coin flip), I need to export the result to a CSV called RESULTS.CSV as a new ROW.

I have tried about four different approaches posted on StackOverflow but been unsuccessful thus far. I am having a difficult time understanding the syntax/logic. I hate asking this and always try to avoid it, but would anyone mind showing me a simple solution so that I can dissect the logic? (rather than referencing to an article, as I have already tried to understand them but am having trouble)

Version: Python 3.5

import random

flipcount=int(input("How many times should I flip a coin?\n###:"))

samples = [ random.randint(1, 2) for i in range(flipcount) ]
heads = samples.count(1)
tails = samples.count(2)

for s in samples:
    msg = 'Heads' if s==1 else 'Tails'
    print(msg)

print ("Heads count=%d, Tails count=%d" % (heads, tails))

Here is a failed attempt... I believe that I have saturated my research on the topic and have greatly confused myself...

import random
import csv

flipcount=int(input("How many times should I flip a coin?\n###:"))


samples = [ random.randint(1, 2) for i in range(flipcount) ]
heads = samples.count(1)
tails = samples.count(2)
writer = csv.writer(w)

for s in samples:
    msg = 'Heads' if s==1 else 'Tails'
    print(msg)
    with open('some.csv', 'w', newline='') as f:
        writer.writerows(msg)

print ("Heads count=%d, Tails count=%d" % (heads, tails))

Answer 1

import pandas as pd
import numpy as np
#get the flipcount
flipcount = int(input("How many times should I flip a coin?\n###:"))
samples = np.random.randint(0, 2, size = flipcount)
#create a pandas dataframe
data = pd.DataFrame(["heads" if i == 1 else "Tails" for i in samples])
#create a csv file
data.to_csv("data.csv", index=False, header=False)