如何在Python 3.6中创建Protobuf3 Timestamp？调用无返回值问题排查

Hey there! Let's break down why your Timestamp call isn't returning anything—this is a common gotcha, so we'll walk through the most likely fixes step by step.

• You're not explicitly outputting the result
  In Python scripts (unlike the interactive REPL), just calling Timestamp(...) won't display anything on its own. The object gets created, but you need to print or return it to see the output. For example:

  from pandas import Timestamp
  # This won't show output in a script
  Timestamp('2024-05-20')
  # This will display the timestamp
  print(Timestamp('2024-05-20'))
  

  The REPL auto-displays results, but scripts require you to explicitly trigger output.

• Incorrect instantiation or invalid arguments
  If you call Timestamp() without valid input, some older pandas versions (compatible with Python 3.6) might create an empty/default object instead of raising an error. Double-check you're passing a valid date string, datetime object, or numeric timestamp. Examples of valid usage:

  from pandas import Timestamp
  # From a date string
  ts = Timestamp('2024-05-20 14:30:00')
  # From a datetime object
  from datetime import datetime
  ts = Timestamp(datetime.now())
  # From a Unix timestamp (seconds since epoch)
  ts = Timestamp(1716193800, unit='s')
  

  To catch invalid inputs, wrap the call in a try-except block:

  try:
      ts = Timestamp('invalid-date-format')
      print(ts)
  except Exception as e:
      print(f"Error creating Timestamp: {e}")
  

• Pandas version mismatch with Python 3.6
  Python 3.6 is end-of-life, and newer pandas versions dropped support for it. The last major pandas release compatible with Python 3.6 is 1.1.x. If you're using a newer pandas version, it could cause silent failures or unexpected behavior. Check your pandas version with:

  import pandas as pd
  print(pd.__version__)
  

  If it's newer than 1.1.x, downgrade to a compatible version using pip install pandas==1.1.5.

• Conflicting imports or wrong Timestamp class
  Make sure you're importing Timestamp from the right library—most commonly, this refers to pandas.Timestamp. If you're pulling it from a different module (like a custom utility), it might not behave as expected. Avoid ambiguous imports, and explicitly use from pandas import Timestamp if that's the class you intend to use.

内容的提问来源于stack exchange，提问作者P Moran