Problem description: I'm trying to read historical stock prices from CSV format into pandas Dataframe, but one funny thing I have noticed so far - when reading certain row numbers, the dates column type is changed from pandas.Timestamp into datetime - how does that work? How can I read pandas.Timestamp then? Minimum reproduction example: I have inspected my CSV file, and here is a minimal needed data example from it. import pandas as pd file = open('temp.csv', 'w') file.write( """Local time,Open,High,Low,Close,Volume 28.02.2014 02:00:00.000 GMT+0200,1.37067,1.38250,1.36943,1.38042,176839.0313 01.04.2014 03:00:00.000 GMT+0300,1.37742,1.38156,1.37694,1.37937,95386.0703""") file.close() data = pd.read_csv('temp.csv', parse_dates = ["Local time"]) print(type(data['Local time'][0])) Result: <class 'datetime.datetime'> VERSUS import pandas as pd file = open('temp.csv', 'w') file.write( """Local time,Open,High,Low,Close,Volume 28.02.2014 02:00:00.000 GMT+0200,1.37067,1.38250,1.36943,1.38042,176839.0313""") file.close() data = pd.read_csv('temp.csv', parse_dates = ["Local time"]) print(type(data['Local time'][0])) file = open('temp.csv', 'w') file.write( """Local time,Open,High,Low,Close,Volume 01.04.2014 03:00:00.000 GMT+0300,1.37742,1.38156,1.37694,1.37937,95386.0703""") file.close() data = pd.read_csv('temp.csv', parse_dates = ["Local time"]) print(type(data['Local time'][0])) file = open('temp.csv', 'w') file.write( """Local time,Open,High,Low,Close,Volume 02.03.2014 02:00:00.000 GMT+0200,1.37620,1.37882,1.37586,1.37745,5616.04 03.03.2014 02:00:00.000 GMT+0200,1.37745,1.37928,1.37264,1.37357,136554.6563 04.03.2014 02:00:00.000 GMT+0200,1.37356,1.37820,1.37211,1.37421,124863.8203""") file.close() data = pd.read_csv('temp.csv', parse_dates = ["Local time"]) print(type(data['Local time'][0])) Result: <class 'pandas._libs.tslibs.timestamps.Timestamp'> Result: <class 'pandas._libs.tslibs.timestamps.Timestamp'> Result: <class 'pandas._libs.tslibs.timestamps.Timestamp'> Versions: pandas==1.2.3 pandas-datareader==0.9.0 Summary: I need to read pandas.Timestamp because of some latter data manipulations, not datetime, and have no ideas what's wrong here - hope you guys can help... I have created a GitHub issue as well, but it's not triaged yet. Continue reading...