Hello everyone,
I am very new to Macbook and python. I have installed python through MacPorts
and when I check if all the packages I required are installed properly, I get
the following traceback errors for matplotlib and pandas packages. Can anyone
suggest me how I can rectify the same? I
Can you please suggest me what I shall do to make sure all the libraries that I
have indicated above work in python? I don't know how I can get back to
obsolete version of Python. Please suggest me the commands or references of
previous posts, if any.
Thanks and regards,
Madhavan
--
Hello ChrisA,
Thanks for your suggestion. My script works fine when I run the command 'export
LC_ALL=en_AU.utf8' before starting python.
I am from India and using US English and international keyboard. I also tried
using the command 'export LC_ALL=en_USA.utf8' and the python script works fine.
Hello ChrisA,
Thanks for your suggestion. I have typed the following on Terminal:
$ locale
LANG=
LC_COLLATE="C"
LC_CTYPE="C"
LC_MESSAGES="C"
LC_MONETARY="C"
LC_NUMERIC="C"
LC_TIME="C"
LC_ALL="C"
How should I modify the profile/configuration of locale permanently? Is it
possible to do this on
Hello everyone,
I have been using IDL for making plots until recently and currently
transitioning to Python programming. I have a task to obtain a static google
image for my region of interest and then overlay the variable frequency counts
at different lat-long coordinates. While I have
I have an array (numpy.ndarray) with shape (1500L,) as below:
x = array([ 3.e+01, 6.e+01, 9.e+01, ...,
4.4940e+04, 4.4970e+04, 4.5000e+04])
Now, I wanted to determine the indices of the x values between 0.0 and 15.0.
While this is simple in
Sorry for re-posting with a correction.
I have an array (numpy.ndarray) with shape (1500L,) as below:
x = array([ 3.e+01, 6.e+01, 9.e+01, ...,
4.4940e+04, 4.4970e+04, 4.5000e+04])
Now, I wanted to determine the indices of the x values
Thank you all for various ways of finding the indices.
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Hi,
I have x and y variables data arrays. These two variables are assumed to be
related as y = A * exp(x/B). Now, I wanted to use Levenberg-Marquardt
non-linear least-squares fitting to find A and B for the best fit of the data.
Can anyone suggest me how I can proceed with the same. My
Hi Bill,
Thanks for your suggestion. Where am I actually using the curve_fit in the
defined function func2fit? Don't I need to initial assumption of a, b and c
values so that optimized convergence occur with iteration of the function for
the input data of x?
Look forward to your suggestions,
Hi,
I have imported the following libraries to access the data sets from a HDF4
file in Python 2.7
from pyhdf.SD import SD, SDC
hdf = SD(FILE_NAME, SDC.READ)
hdf.datasets()
While I don't have any issues in accessing the contents of the data sets, I am
unable to access the metadata.
I have
Hi,
I have to append requisite data matrix from multiple files into a single
variable using FOR loop.
outData = [];
for file in fileList:
allData = # an array of nrows and ncols.
outData = [outData; allData] # in MATLAB
While the ncols are
Hi,
I have the following list type data:
[' 29.7963 29.6167 29.4371 29.2574 29.0778 28.8982 28.7185
28.5389 28.3593 28.1797 28. 27.8204 27.6408 27.4611 27.2815
27.1019 26.9223 26.7426 26.5630 26.3834 26.2037 26.0241 25.8445
25.6649 25.4852
Hi,
I need to create an array as below:
tempStr = year+','+mon+','+day+','+str("{:6.4f}".format(UTCHrs[k]))+','+ \
str("{:9.7f}".format(AExt[k,0]))+','+str({:9.7f}".format(AExt[k,1]))+','+ \
str("{:9.7f}".format(AExt[k,2]))+','+str("{:9.7f}".format(AExt[k,3]))+','+ \
I am using the following command line to sort the files:
import glob
a = sorted(glob.glob('3RIMG_*.h5')
Following is the result:
3RIMG_01APR2018_0514_L2G_AOD.h5
3RIMG_01APR2018_0544_L2G_AOD.h5
3RIMG_01APR2018_0644_L2G_AOD.h5
3RIMG_01APR2018_0714_L2G_AOD.h5
3RIMG_01APR2018_0744_L2G_AOD.h5
Thanks Peter.
The following lines worked:
import glob
import datetime
def get_datetime (filename):
parts = filename.split ("_")
return datetime.datetime.strptime (parts[1] + parts[2], "%d%b%Y%H%M")
filenames = sorted(glob.glob('3RIMG _ *. h5'), key = get_datetime)
--
Hi,
Can someone help me on how to make the wind rose plotting (similar to the
figure 2 in the paper:
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2011JD016386) in
Python?
The input file contains the data in 4 columns:
[date, time, wind_speed, wind_direction]
Look forward to
Hi,
I have the following shell commands to run my executable created with gfortran:
-
$ pwd
/OPAC/opac31a/opac31
$ ls
extback.dat opacopac.f result terr.dat
input opac.cfg
Thanks for your suggestions.
I have sorted the issue as follows:
import pexpect
child = pexpect.spawn('./opac')
child.sendline('opac')
This works!!!
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Hi,
Can someone help me to make python code (with some arbitrary data) for the
angular distribution rose diagram as shown in figure 7 in the paper accessible
through the web-link:
https://www.nat-hazards-earth-syst-sci.net/17/1425/2017/nhess-17-1425-2017.pdf
Thanks in advance
Madhavan
--
Hi,
I have the following IDL program lines. I want to write equivalent Python
program lines. Can anyone suggest me equivalent Pythons program lines?
# --- 1 --- #
How to handle the format in IDL to Python?
IDL program line:
print,'Column ',J,' of product
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