I'm guessing you loaded from pandas import *... It is better to import
pandas as pd, then use pd.read_csv. I also tend to name my data frames df
or a variation and time series as ts.
Speaking of series, If your data is not a series with a datetime type, then
it will be plotted as a categorical, meaning each different X value is
represented at a constant interval, in index order. You need to convert
your time string to a datetime. (pd.to_datetime is your friend).
Francois
On Tue, Jan 19, 2016 at 2:28 PM, Bachir Bachir via Tutor <tutor@python.org>
wrote:
> Dear all,
> I have some data taken at specific time of the day and i want to display
> those data according to the time,attached is the cvs file and the display
> output from python pandas . I used the following script
> v2=read_csv('v2_12.dat') #data frame for v2
> v2.plot(kind='bar', x='Time_hhmmss', y='Av_phase',figsize=(12,1))
> #display for v2 only
> I want to see a gap on the display because there was no data recorded
> between 08:20:56 and 14:55:33 but on my display i see them side by
> side Is there any way to do this using python display optionsYour help is
> highly appreciated Thanks much
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