So, I changed it using lambda but got an error saying, ' NameError: name 'time_stamp' is not defined' published_time = time_stamp.apply(lambda x: dt.strptime(df.time_stamp, '%a, %d %b %Y %H:%M:%S %Z')) Initially I received an error for the following that said, 'TypeError: strptime() argument 1 must be str, not Series': published_time = datetime.strptime(time_stamp, '%a, %d %b %Y %H:%M:%S %Z') Korea Standard Time is 16 hours ahead of Mountain Standard Time. This time zone is in use during standard time in: North America. Time_est = published_time.replace(tzinfo=est)ĭf = time_cst.strftime('%I:%M:%S %p %Z')ĭf = time_est.strftime('%I:%M:%S %p %Z')ĭf = time_mst.strftime('%I:%M:%S %p %Z')ĭf = time_utc.strftime('%I:%M:%S %p %Z') Mountain Standard Time (MST) is 7 hours behind Coordinated Universal Time (UTC). Time_mst = published_time.replace(tzinfo=mst) Time_cst = published_time.replace(tzinfo=cst) Coordinated Universal Time (UTC) is UTC+0, and Mountain Standard Time (MST) is UTC-7, which means that the difference in time between UTC and MST is 7 hours. Lagos, Nigeria time is 7 hours ahead of MST. and done MST stands for Mountain Standard Time. Best time for a conference call or a meeting is between 3pm-6pm in UTC which corresponds to 8am-11am in MST 6:00 pm Universal Time Coordinated (UTC). Simply mouse over the colored hour-tiles and glance at the hours selected by the column. Time_utc = published_time.replace(tzinfo=utc) This time zone converter lets you visually and very quickly convert MST to Lagos, Nigeria time and vice-versa. Published_time = time_stamp.apply(lambda x: dt.strptime(df.time_stamp, '%a, %d %b %Y %H:%M:%S %Z')) My default time is UTC, but I would like to create multiple columns based of the start_time_UTC to create cst, mst, and est. I have a data set like the following: start_time_UTC

Utc time zone to mst