I want to plot some timestamps (Year-month-day Hour-Minute-Second format). I am using the following code, however it doesn't show any hour-minute-second information, it shows them as 00-00-00. I double checked my date array, and as you can see from the sn...

I want to plot some timestamps (Year-month-day Hour-Minute-Second format). I am using the following code, however it doesn't show any hour-minute-second information, it shows them as 00-00-00. I double checked my date array, and as you can see from the sn...

I have pandas Series where index is a list of integer (timestamp), how can I convert them to datetime.datetime (with timezone) more efficient than below raw conversion? pd.Series(data=s.values, index=map(lambda x:datetime.datetime.fromtimestamp(x,tz=utc...

Have an array with timestamps (format %Y-%M-%D %H:%M:%S) collected from a textfile. I want to plot these in a subplot with matplotlib. But I can't get it to work. I was thinking of this: import numpy as np import datetime import matplotlib.pyplot as plt ...

I have a dataframe in pandas called 'munged_data' with two columns 'entry_date' and 'dob' which i have converted to Timestamps using pd.to_timestamp.I am trying to figure out how to calculate ages of people based on the time difference between 'entry_date...

I have dt = datetime(2013,9,1,11), and I would like to get a Unix timestamp of this datetime object. When I do (dt - datetime(1970,1,1)).total_seconds() I got the timestamp 1378033200. When converting it back using datetime.fromtimestamp I got datetime....

I have Spark DataFrame with take(5) top rows as follows: [Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=1, value=638.55), Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=2, value=638.55), Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=3, va...

I have Spark DataFrame with take(5) top rows as follows: [Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=1, value=638.55), Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=2, value=638.55), Row(date=datetime.datetime(1984, 1, 1, 0, 0), hour=3, va...

I have a dataframe in pandas called 'munged_data' with two columns 'entry_date' and 'dob' which i have converted to Timestamps using pd.to_timestamp.I am trying to figure out how to calculate ages of people based on the time difference between 'entry_date...

I have a pandas column of Timestamp data In [27]: train["Original_Quote_Date"][6] Out[27]: Timestamp('2013-12-25 00:00:00') How can check equivalence of these objects to datetime.date objects of the type datetime.date(2013, 12, 25)

I have a pandas column of Timestamp data In [27]: train["Original_Quote_Date"][6] Out[27]: Timestamp('2013-12-25 00:00:00') How can check equivalence of these objects to datetime.date objects of the type datetime.date(2013, 12, 25)

I want to plot, in a specific few ways, dates on the x axis and time of day on the y axis, and then have either line plots or interval (floating bar) plots. This SO answer helps But I have a few differences from that plot and I can't get it to work. ...

I have a data file containing timestamps like "1331856000000". Unfortunately, I don't have a lot of documentation for the format, so I'm not sure how the timestamp is formatted. I've tried Python's standard datetime.fromordinal() and datetime.fromtimestam...

How can I reset the time part of a pandas timestamp? I want to reset time part in value of pandas.Timestamp. I guess I can do it using the following procedure. step 1) Timestamp to datetime type step 2) datetime to seconds step 3) truncate time part in...

I have a bunch of documents in mongodb and all have a timestamp field with timestamp stored as "1404008160". I want to sort all docs in this collection by desc order. I do it by: sort = [('timestamp', DESCENDING)] collection.find(limit=10).sort(sort) H...

I have a dataframe with some (hundreds of) million of rows. And I want to convert datetime to timestamp effectively. How can I do it? My sample df: df = pd.DataFrame(index=pd.DatetimeIndex(start=dt.datetime(2016,1,1,0,0,1), end=dt.datetime(2016,1,2,...