Hours, minutes, and seconds in DateTime in TimeSeries problem

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I have a value for each point in time (updated each half an hour).

I read the data from csv into a pandas dataframe :

import pandas as pd
headers = ['timestamp', 'pressure']
df = pd.read_csv('data.csv', header=None, names=headers)

The data types are:

timestamp object
pressure int64

The df itself looks like this:

             timestamp pressure
0  2016-01-29 10:00:00         3
1  2016-01-30 22:30:00         2
2  2016-01-31 04:30:00         1

I visualize it like following:

fig = TimeSeries(df, x = 'timestamp', y = 'pressure',builder_type='point'
                                                    ,xscale="datetime")

And what it returns is:

enter image description here

However, if i remove the time part - it will work fine:

enter image description here

What am i doing wrong?

This seems possibly like a bug. It's possible that the "object" type is problematic. In any case it needs to be investigated and explained, can you file a GitHub issue with this information?

Thanks,

Bryan

···

On Jan 31, 2016, at 5:24 AM, [email protected] wrote:

0
down vote
favorite
I have a value for each point in time (updated each half an hour).

I read the data from csv into a pandas dataframe :

import pandas as
pd
headers
= ['timestamp', 'pressure']

df
= pd.read_csv('data.csv', header=None, names=headers)
The data types are:

timestamp object
pressure int64

The df itself looks like this:

             timestamp pressure

0 2016-01-29 10:00:00 3
1 2016-01-30 22:30:00 2
2 2016-01-31 04:30:00 1
I visualize it like following:

fig = TimeSeries(df, x = 'timestamp', y = 'pressure',builder_type='point'

,xscale="datetime")
And what it returns is:

However, if i remove the time part - it will work fine:

What am i doing wrong?

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