adds docstrings to functions. adds several comments.

funs/Scrape.py

@@ -3,13 +3,22 @@ import time
 import pandas as pd
 import snscrape.modules.twitter as sntwitter
 
-def scrapeTweets(handle, slice_data, keywords, td, tweetDFColumns, maxTweets = 5000):
+def scrapeTweets(handle, keywords, td, tweetDFColumns, ts_beg, ts_end, suffix,  maxTweets = 5000):
+    """Scrapes tweets from a specific account in a specific time span using snscrape.modules.twitter.
+
+    Args:
+        handle (str): twitter handle of account to be scraped
+        keywords (list): list of strings containing the keywords that the tweets shall be searched for
+        td (str): tweet file output path
+        tweetDFColumns (list): Columns for tweet dataframe. Parameters for snscrape.modules.twitter.Tweet
+        ts_beg (str): scrape from ... YYYY-MM-DDTHH:MM:SSZ from datetime: %Y-%m-%dT%H:%M:%SZ (https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes)
+        ts_end (_type_): scrape until ... YYYY-MM-DDTHH:MM:SSZ from datetime: %Y-%m-%dT%H:%M:%SZ (https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes)
+        suffix (str): suffix that shall be added to filename after the handle. Example: "-slice1" of handle "handle" will produce the file "Tweets-handle-slice1.csv"
+        maxTweets (int, optional): Maximum number of tweets to be scraped. Defaults to 5000.
+    """
     i = 0
     
     currentTime = datetime.now()
-    ts_beg = slice_data['beg_time']
-    ts_end = slice_data['end_time']
-    suffix = slice_data['suffix']
     tweetDataFilePath = td + f"Tweets-{handle}{suffix}.csv"
     
     # create empty tweetlist that will be filled with tweets of current sen