ns: [1, 5, 9,13]
>
>
>
> Sent from my iPhone
>
> > On 29 Sep 2015, at 04:16, questions anon
> wrote:
> >
> > a = [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
> >
> > how can I show the first then skip three and show the next and so on?
> > For example:
> > sho
a = [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
how can I show the first then skip three and show the next and so on?
For example:
show 1
then skip 2,3,4
then show 5
then skip 6,7,8
then show 9
then skip 10,11,12,
etc.
Any feedback will be greatly appreciated.
tle=ncvariablename+'v_DailyMax'+days
cmap=plt.cm.jet
CS = map.contourf(x,y,v_DailyMax, 15, cmap=cmap)
l,b,w,h =0.1,0.1,0.8,0.8
cax = plt.axes([l+w+0.025, b, 0.025, h])
plt.colorbar(CS,cax=cax, drawedges=True)
plt.savefig((os.path.join(OutputFolder, plottitle+'.png')))
plt.show()
your help
lastdate=all_the_dates[1]
onedateperday.append(lastdate)
print onedateperday
for date in all_the_dates:
if date !=lastdate:
lastdate=date
onedateperday.append(lastdate)
On Wed, Sep 17, 2014 at 7:35 PM, Cameron Simpson wrote:
> On 17Sep2014 19:21, questi
Hi Tutor,
I think this should be simple but I can't find the right commands.
I have a date for each hour for a whole month (and more) and I would like
to write a loop that prints each date that is different but skips the dates
that are the same.
for i in date:
print i and then skip i until differ
Thanks all,
I got it to work using:
import os
import shutil
destination_prefix="/Data/test/"
source_prefix="/Data/test1/"
for year in range(2011, 2013):
year = str(year)
for month in range(1, 13):
# convert to a string with leading 0 if needed
month = "%02d" % month
source = os.path.jo
On Thu, May 22, 2014 at 11:11 AM, Steven D'Aprano wrote:
> On Thu, May 22, 2014 at 10:25:27AM +1000, questions anon wrote:
> > I have files contained separately in folders labelled by years and months
> > and I would like to copy them into another directory where they have
> >
I have files contained separately in folders labelled by years and months
and I would like to copy them into another directory where they have
matching folder names of years and months.
I can do this for one folder at a time (see below) but I want it to be able
to go through all the folders (2002/0
I have hourly 2D temperature data in a monthly netcdf and I would like to
find the daily maximum temperature. The shape of the netcdf is (744, 106,
193)
I would like to use the year-month-day as a new list name (i.e. 2009-03-01,
2009-03-022009-03-31) and then add each of the hours worth of
te
Hi All,
I have monthly netcdf files containing hourly temperature data.
I would like to loop through all of the hours and calculate the max for
each hour (00 - 23) and then make a plot.
I have found a way for this to work for a couple of the hours (see below)
but it requires a lot of set up to do e
hmmm thank you, I obviously need to put some more thought in first.
Thanks for the responses.
On Sat, Sep 8, 2012 at 4:03 PM, Peter Otten <__pete...@web.de> wrote:
> questions anon wrote:
>
> > Hello All, it has been a few months since I have used this and I have
> only
&
h.month)
> month += timedelta(days=32)
> month = month.replace(day=01)
>
>
>
>
> On Thu, Apr 5, 2012 at 4:57 PM, Peter Otten <__pete...@web.de> wrote:
>
>> questions anon wrote:
>>
>> > I have been able to write up what I want to do (usin
thanks for all of the responses, has been really helpful
On Fri, May 18, 2012 at 8:54 PM, Russel Winder wrote:
> On Thu, 2012-05-17 at 19:35 +1000, Steven D'Aprano wrote:
> > On Thu, May 17, 2012 at 08:27:07AM +0100, Russel Winder wrote:
> >
> > > Should we be promoting use of the format method
10:16 PM, questions anon wrote:
>
> I am completely new to dictionaries and I am not even sure if this is what
> I need to use.
> I have a text file that I would like to run summary stats on particular
> months, years and climate indices (in this case the climate indices are
> r
I am completely new to dictionaries and I am not even sure if this is what
I need to use.
I have a text file that I would like to run summary stats on particular
months, years and climate indices (in this case the climate indices are
rainfall and fire area, so not actualy climate indices at all).
June entry by the average over all the non-zero June data.
>
>
> I was just hoping to give you a working example that you could use to make
> a functioning well thought out example that can handle the exceptions which
> will arise (like missing data, or a data file with a string
Excellent, thank you so much. I don't understand all the steps at this
stage so I will need some time to go through it carefully but it works
perfectly.
Thanks again!
On Tue, May 8, 2012 at 4:41 PM, Andre' Walker-Loud wrote:
> Hello anonymous questioner,
>
> first comment - you may want to look i
I would like to calculate summary statistics of rainfall based on year and
month.
I have the data in a text file (although could put in any format if it
helps) extending over approx 40 years:
YEAR MONTHMeanRain
1972 Jan12.7083199
1972 Feb14.17007142
1972 Mar14.5659302
1972 Apr1.
thanks all!
On Fri, Apr 13, 2012 at 2:02 AM, Alan Gauld wrote:
> On 12/04/12 15:32, Mark Lawrence wrote:
>
> That's going to be quite awkward to do. Files like to be written one
>>> complete line at a time. The normal approach would be to build up the
>>> table structure in memory and then write
Perfect, thank you.
Is there a way I could easily/quickly add headings to each column?
On Thu, Apr 12, 2012 at 1:03 PM, Puneeth Chaganti wrote:
> On Thu, Apr 12, 2012 at 8:01 AM, questions anon
> wrote:
> > I am trying to simply write a list of values to txt file in one column.
>
I am trying to simply write a list of values to txt file in one column.
I would then like to add another list in a second column.
Somehow they only appear as one long row.
Any feedback will be greatly appreciated.
print "rain max values", rmax
print "yearmonth", monthyear
OutputFolder=r"E:/test_o
yrain), "mean: ",
np.mean(monthlyrain)
stop_month = datetime(2011, 12, 31)
month = datetime(2011, 01, 01)
while month < stop_month:
accumulate_month(month.year, month.month)
month += timedelta(days=32)
month = month.replace(day=01)
On Thu, Apr 5, 2012 at 4:57 PM, Peter Otten
;feb", np.max(rain201102), np.min(rain201102), np.mean(rain201102),
np.median(rain201102), np.std(rain201102)
print "mar", np.max(rain201103), np.min(rain201103), np.mean(rain201103),
np.median(rain201103), np.std(rain201103)
On Thu, Apr 5, 2012 at 11:11 AM, questions anon wrote:
>
#x27;)and fname[0:7]==fname[0:7]
e.g. r20110101.txt and r20110102.txt should go together but r20110601
should not.
thanks
On Tue, Apr 3, 2012 at 4:59 PM, Alan Gauld wrote:
> On 03/04/12 04:59, questions anon wrote:
>
> I have a list of txt files that contain daily rainfall for many ye
I think what I am trying to do is relatively easy but can't get my head
around how to do it.
I have a list of txt files that contain daily rainfall for many years. I
would like to produce a list that contains the year-month and the max, min
and mean of rainfall for each month.
My main question at t
I am trying to do something really simple.
I have a numpy array and if any values in the array are 255 I want to
change them to 1.
but I can't seem to get anything to work!
If I use:
for i, value in enumerate(mask_arr):
if value==255:
mask_arr[i]=1
I get this error:
Traceback (most
Hi Python Tutor,
I keep receiving a memory error when processing many netcdf files. I assume
it has something to do with how I loop things and maybe need to close things
off properly.???
In the code below I am looping through a bunch of netcdf files (each file is
hourly data for one month) and with
Excellent, thank you
and yes I need to work on how to catch and handle exceptions
Thanks again!
On Wed, Sep 28, 2011 at 4:13 PM, bob gailer wrote:
> On 9/27/2011 11:18 PM, questions anon wrote:
>
> I would like to use user_input() to decide how to slice a list.
> This works fine un
I would like to use user_input() to decide how to slice a list.
This works fine until I try to leave it blank to try and select the whole
list [:]
I have posted the section of interest below and the error I get when I try
to press enter. Further below that is the entire code.
Any feedback will be g
this the correct way to do things?
My main problem is not being able to feed the output from one function into
the next.
Thanks
Sarah
On Mon, Sep 26, 2011 at 10:35 AM, Alan Gauld wrote:
> On 26/09/11 00:21, questions anon wrote:
>
>> Hi All,
>> I am trying to move from writing on
Hi All,
I am trying to move from writing one long script each time I need to do a
new thing but I do not quite understand how functions work, even after
reading many manuals.
My first attempt is to create a python file where I have defined a number of
functions that get data in various ways.
I have
Thanks all, that helped me work out that I needed to try something else.
If anyone else needs to know what method worked:
big_array=N.ma.concatenate(all_FFDI)
for x in N.nditer(big_array, op_flags=['readwrite']):
if x<100:
x[...]=x=0
elif x>=100:
x[...]=x=1
sum=big_array.su
gt; wrote:
> questions anon wrote:
>
> > I have been going round in circles trying to solve something that sounds
> > simple. I have a huge array and I would like to reclassify the values.
> > Firstly just make them zeros and ones, for example if the values in the
> > array are l
Dear All,
I have been going round in circles trying to solve something that sounds
simple. I have a huge array and I would like to reclassify the values.
Firstly just make them zeros and ones, for example if the values in the
array are less than 100 make them 0 and if greater than 100 make them 1.
Thanks, that also works really well.
One of the hardest things I am finding with programming is that there is
always more than one way to do something. This is a good and bad thing. Bad
for beginners!!
thanks
On Tue, Aug 30, 2011 at 4:45 PM, Peter Otten <__pete...@web.de> wrote:
> quest
g I
> really like about python, you really can just play around with it. And with
> all things, if you figure it out on your own, then you will likely feel
> better about that, and also, you will retain the knowledge better and gain
> more confidence in trying new things.
>
>
> Ch
t if you get a list of
> directories, then this should work.
>
> Well, it should work with the correction
>
>
> for ncfile in glob.glob(dir+'\*.nc'):
>>
>>
>
> Cheers,
>
> Andre
>
>
>
>
>
>
> On Aug 29, 2011, at 8:35 PM
'*' character to grab all files which end in '.nc'
>
>
> Andre
>
>
>
>
> On Aug 29, 2011, at 7:23 PM, questions anon wrote:
>
> Thanks for responding
> When I try glob.glob I receive no errors but nothing prints.
>
> MainFolder=r"
"my selected netcdf files are:", ncfile
any suggestions? thanks
On Tue, Aug 30, 2011 at 10:07 AM, Emile van Sebille wrote:
> On 8/29/2011 4:52 PM questions anon said...
>
> I am trying to select particular files within
>> a particular subdirectory,
>>
>
I am trying to select particular files within a particular subdirectory, I
have been able to do both but not together!
When I try to select my files within the dir loop nothing comes up, but when
I leave the files outside the dir loops it selects all the files
not just the ones in the dirs I have s
Excellent, thank you!!
On Wed, Aug 17, 2011 at 5:43 PM, Peter Otten <__pete...@web.de> wrote:
> questions anon wrote:
>
> > Thank you, that does create the directories in the new place but when I
> > process the data it does not put the outputs in the correct directory
ata you averaged. Say the length of the sets are
> [N0,N1,N2,N3,N4] with average values [a0,a1,a2,a3,a4], then to produce the
> global average, you need to take
>
> avg = (1 / (N0+N1+N2+N3+N4) ) * (N0*a0 + N1*a1 + N2*a2 + N3*a3 + N4*a4)
>
> a few lines of algebra can demonstrate t
xes([l+w+0.025, b, 0.025, h], )
cbar=plt.colorbar(CS, cax=cax, drawedges=True)
#save map as *.png and plot netcdf file
plt.savefig((os.path.join(newdir,'TSFC'+date_string+'UTC.png')))
On Tue, Aug 16, 2011 at 6:21 PM, Peter Otten <__pete...@web.de>
I would like to open up a bunch of files within a folder within a folder and
then process them and output them in another location but with the same
folder structure. I seem to having trouble with the folder within folder
section.
I have a separate folder for each year and then within a year I have
I have many ncfiles each containing one month of hourly temperature data.
I have worked out how to loop through a number of ncfiles and calculate the
mean for each file at a particular time and even plot this and output as a
*.png.
What I am unsure of is how to calculate the mean at a particular ti
I am creating a number of plots of temperature in degrees celsius and I
would like the title of the plot to have - C°
Through a search I found a way to print the symbol
degree_symbol = unichr(176).encode("latin-1")
print degree_symbol
but when I add this to my plot title I receive a huge error (
f_out.write(newFile)
print "end of processing"
On Mon, Aug 8, 2011 at 6:34 PM, Stefan Behnel wrote:
> questions anon, 08.08.2011 01:57:
>
> Thank you, I didn't realise that was all I needed.
>> Moving on to the next problem:
>> I would like to loop throug
newFile=compresseddata.read()
f_out=open(f_in[:-3], "wb")
f_out.write(newFile)
On Sun, Aug 7, 2011 at 11:22 AM, Walter Prins wrote:
>
>
> On 7 August 2011 01:52, questions anon wrote:
>
>> How can I output the decompressed file? s
Hi All,
I am trying to decompress at gzipped netcdf file and place the decompressed
file in the same folder without the *.gz extension. I am using gzip. If I
use the following code nothing happens.
import gzip
filepath="D:/test/surfacetemp.nc.gz"
compresseddata=gzip.open(filepath, "rb")
file_conte
I would now like to add a line of best fit. I think the command is
polyfit()??
But I can't seem to get it to work
f=open('e:/testscatter.txt')
data=[map(float,line.split()) for line in f]
x, y=zip(*data)
pylab.polyfit(x,y,1)
pylab.scatter(x,y)
pylab.show()
Any feedback will be greatly appreciated
Excellent thank you!!
On Mon, Nov 30, 2009 at 7:03 PM, Kent Johnson wrote:
> On Mon, Nov 30, 2009 at 8:26 PM, Wayne Werner
> wrote:
>
> > A sample of the data is always helpful, but I'll take a shot in the dark.
> > If you have data like this:
> > 2.31 72
> > 9823
> > ... ..
I would like to read in two columns of data from a *.txt file
I type
f=open("e:/testascii.txt")
import pylab
pylab.scatter(f)
and then receive an error.
How do I point it to each column and do I need to do anything about the
space gap between the two columns?
Thanks in advance.
_
I would like to make some simple plots using matplotlib (or any python
plotting modules) and I can find lots of examples that generate random data
and then plot those, but I cannot find any that read in data from excel or a
text file, manipulate the data and then plot the data. Does anyone have any
Is there a way I could read in a raster image, read in a shapefile image and
then calculate the mean and standard deviation of the raster values within
the shapefile?
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