29.05.2020 · AttributeError: 'Timestamp' object has no attribute 'translate' This worked fine when I used older versions and did this via pymysql, not sqlalchemy. I can't find anything online to help, any ideas. thanks, 回答1: Check the datatypes of your data frame using df.dtypes and make sure your columns are the correct datatype.
29.09.2020 · Could anyone please help me with why I am getting the below error, everything worked before when I used the same logic, after I converted my data type of date columns to the appropriate format. Bel...
31.10.2021 · Solution 1. The method to_datetime will return a TimeStamp instance. I’m not sure what you are hoping to accomplish by the lambda function, but it appears you are trying to convert some object to a TimeStamp. Try removing the apply section so it looks like this: Train ['timestamp'] = pd.to_datetime (Train ['date'])
1. This answer is not useful. Show activity on this post. I had the same problem but with Python 3.4 and I used the following solution. last_unix = (last_date - datetime.datetime (1970,1,1)).total_seconds () Share. Improve this answer. Follow this answer to receive notifications. answered May 12 '17 at 8:03.
df['ts'] = df['datetime'].dt.timestamp AttributeError: 'DatetimeProperties' object has no attribute 'timestamp' If I try to create eg. the date parts of datetimes with the .dt accessor then it is much more faster then using .apply():
05.01.2014 · You're looking for datetime.timestamp(), which was added in Python 3.3.Pandas itself isn't involved. N.B..timestamp() will localize naive timestamps to the computer's UTC offset. To the contrary, suggestions in this answer are timezone-agnostic. Since pandas uses nanoseconds internally (numpy datetime64[ns]), you should be able to do this even with Python 2:
df['ts'] = df['datetime'].dt.timestamp AttributeError: 'DatetimeProperties' object has no attribute 'timestamp' If I try to create eg. the date parts of datetimes with the .dt accessor then it is much more faster then using .apply():
Nov 24, 2021 · Solution 2. The timestamp method was added in Python 3.3. So if you’re using Python 2.0, or even 2.7, you don’t have it. There are backports of current datetime to older Python versions on PyPI, but none of them seems to be official, or up-to-date; you might want to try searching for yourself. There are also a number of third-party ...
Oct 31, 2021 · Solution 1. The method to_datetime will return a TimeStamp instance. I’m not sure what you are hoping to accomplish by the lambda function, but it appears you are trying to convert some object to a TimeStamp. Try removing the apply section so it looks like this: Train ['timestamp'] = pd.to_datetime (Train ['date'])
22.07.2019 · You are running your code with Python 2.x which does not support datetime.timestamp () – in most cases the easiest way to fix this issue is to use Python 3, e.g.: fix-python-error-attributeerror-datetime-datetime-object-has-no-attribute-timestamp.sh 📋 Copy to clipboard ⇓ Download python3 unix-timestamp.py
Jul 22, 2019 · You are running your code with Python 2.x which does not support datetime.timestamp() – in most cases the easiest way to fix this issue is to use Python 3, e.g.: python3 unix-timestamp.py. In case that is not possible e.g. due to incompatibilities, use this snippet instead, which is compatible with both Python 2 and Python 3:
Nov 17, 2021 · Solution 1. df ['a'] returns a Series object that has astype as a vectorized way to convert all elements in the series into another one. df ['a'] [1] returns the content of one cell of the dataframe, in this case the string '0.123'. This is now returning a str object that doesn’t have this function. To convert it use regular python instruction:
(np.int)) / 100 AttributeError: 'int' object has no attribute 'astype' The input data has been generated using. dict to data frame with pandas ('list' ...
Sep 30, 2020 · Could anyone please help me with why I am getting the below error, everything worked before when I used the same logic, after I converted my data type of date columns to the appropriate format.