Hi Boris,

Read up on the trig functions in the math module.

http://docs.python.org/2/library/math.html#trigonometric-functions

Emile


On 10/11/2013 6:18 PM, Boris Vladimir Comi wrote:

Boris Vladimir Comi <gle...@comunidad.unam.mx> escrito:

I found a way to create daily averages of many variables, for example of
a database that has the following structure:

Fecha,Time, DirViento, MagViento, Temperatura, Humedad, PreciAcu.

Each column is daily data every 15 minutes. I share the code, which,
with the help of your comments I have adapted to my project. The code
calculates the average of the columns Temperatura and Humedad as well as
the sum of column PreciAcu. The code is as follows:

|import  numpyas  np
import  pandasas  pd


data=  pd.read_csv('tancoyol.csv')
index5=data.set_index(['Fecha','Hora'],inplace=True)

grouped=  index5.groupby(level=0)
stat_cea=  
grouped.agg({'Temperatura':np.mean,'Humedad':np.mean,'PreciAcu':np.sum})
print  'Done............'|

Now I have one more question, I need to convert to radians the DirViento
column, how I can do this and how can add this new column to my data file?

In summary,i need to obtain 3 columns from the DirViento column agregate
to datafile.

DirViento
1/07/2011 00:00:00
1/07/2011 00:15:00
1/07/2011 00:30:00
1/07/2011 00:45:00
2/07/2011 00:00:00
2/07/2011 00:15:00
2/07/2011 00:30:00
2/07/2011 00:45:00
.
.
.

Specifically:

First I need to convert the values of DirViento column to Radians (This
should be a new column called Rad) Second I need to get the sine of Rad
column (This should be a new column called Sin) Third I need to get the
cosine of Rad column (This should be a new column called Cos).

How I can achieve this?



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