Re: TIME IN XARRAY
On 4/15/21 7:58 PM, Jorge Conforte wrote:
Hi,
I'm using xarray to read netcdf data and I had to time in my data the
values:
xarray.DataArray 'time' (time: 507)>
array(['1979-01-01T00:00:00.0', '1979-02-01T00:00:00.0',
'1979-03-01T00:00:00.0', ...,
'2021-01-01T00:00:00.0',
'2021-02-01T00:00:00.0', '2021-03-01T00:00:00.0'],
dtype='datetime64[ns]')
Please, how can I get the years and months values from this array.
Thanks,
Conrado
Hi,
maybe this :
from datetime import datetime
import time
# Convert Event to a string
Event="1979-01-01T00:00:00.0"
strDate=time.strftime(Event)
print("Date string ",strDate)
# Get the Year from the string strDate
print("Year ",strDate[0:4])
# Get the month from the string strDate
print("Month ",strDate[5:7])
print()
#
# Convert Event to a datetime object
Event="1979-01-01T00:00:00.0"
dtmDate=datetime.strptime(Event,"%Y-%m-%dT%H:%M:%S.0")
print("datetime object",dtmDate)
# Get the Year from the datetime object
print("Year ",dtmDate.year)
# Get the month from the datetime object
print("Month ",dtmDate.month)
-hth
Gys
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Re: file location/directory
On 3/14/21 7:44 PM, Quentin Bock wrote:
how can I change the path that python takes to run certain files, I'm
starting to create game and I want those in separate folders, so how can I
change it so that python runs the program with the files from that folder?
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Hi Quentin Bock,
this is a very dense subject. The simplest sulution is to create a
MainFolder with the main module of your game. Then in that folder,
create a SubFolder where you can store the modules your game wants to
import.
The alternative is to use the Environment variable $PYTHONPATH
<https://scipher.wordpress.com/2010/05/10/setting-your-pythonpath-environment-variable-linuxunixosx/>
Setting Your PYTHONPATH environment variable (Linux/Unix/OsX)
Open your personal .bashrc file at /home//.bashrc
Note that this is a hidden file
Add these 2 lines :
PYTHONPATH="${PYTHONPATH}:/path/cool/python/package/"
export PYTHONPATH
These checks the settings :
import os
import sys
print(sys.path)
print(os.environ.get('PYTHONPATH', ''))
-hth
Gys
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Re: How do I read .csv files
On 3/12/21 11:28 AM, Johann Klammer wrote: Specifically ones with quoted strings. I'll have whitespace in there and possibly escaped quotechars. maybe newlines too. Which means that pyparsing commaSeparatedList.parseString(line) won't work. I also like to edit them for visual alignment, so there'll be whitespaces outside the strings(more than one) ...therefore, csv.DictReader() won't work. I'd like them read into a dict or something.. Hi Johann Klammer, I use Pandas for handling *.csv files pandas documentation : <https://pandas.pydata.org/pandas-docs/stable/index.html> Hands on example : <https://chrisalbon.com/python/data_wrangling/pandas_dataframe_importing_csv/> -hth Gys -- https://mail.python.org/mailman/listinfo/python-list
Re: Convert a scientific notation to decimal number, and still keeping the data format as float64
On 10/18/19 10:35 AM, doganad...@gmail.com wrote:
Here is my question:
I am using the numpy.std formula to calculate the standart deviation. However,
the result comes as a number in scientific notation.
Therefore I am asking, How to convert a scientific notation to decimal number,
and still keep the data format as float64 ?
Or is there any workaround to get the initial standart deviation result as a
decimal number?
Here is my code:
stdev=numpy.std(dataset)
print(stdev)
Result: 4.449e-05
print(stdev.dtype)
Result: float64
Solutions such as this:
stdev=format(stdev, '.10f')
converts the data into a string object! which I don't want.
Expected result: I am willing to have a result as a decimal number in a float64
format.
System: (Python 3.7.4 running on Win10)
Regards,
Hi, doganad...@gmail.com
why don't you use
print("{0:10.5f}".format(x))
The only thing you want is a specific form of the human readable
representation of the number. For this it is not necessary the convert
the *number* itself definitely to a string. You only have to make a
temp copy of x for printing purposes.
Linux Mint Tara in Spyder(Python 3.6) :
x=4.449e-05
print(x)
4.449e-05
print("{0:8.5f}".format(x))
0.5
print(x)
4.9999449e-05
hth
Gys
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Re: Books for Python 3.7
On 7/12/19 4:36 PM, mok...@gmail.com wrote: Can anyone help me. New to Python. Installed version 3.7 I purchased the "Python for Dummies" book But this book was written for an older version of Python. All the examples and samples don't work with version 3.7 Can anyone direct me to which is the latest book to buy to properly learn Python. Thanks Hi Richy M, I'm in somewhat the same situation. I'm retired now at 73. Used Fortran on IBM, Vax, PDP. Visual Basic on Windows for Work Groups to Windows 10 and changed to Linux Mint about 1 year ago. Started Python about that time. I quickly learned that Python is more a ecosystem than a programming language my advice would be to search what ecosystem you want. I always use a pet project, like suggested by Andrew Z, when I start something new. My pet project is Geo Information Systems or Gis for short. So I have Python 3 and the Python Gis tools. I make long cycle tours with OsmAnd on a Samsung Galaxy for navigation and record the Gpx Tracks. I use Python 3 for analysing the tracks. I use Pandas which let me use Excel like Data Sheets in Python : https://pandas.pydata.org/pandas-docs/stable/index.html If you also have MathPlot you have a serious competitor for MathLab. Pandas also includes Numpy for better manipulation of arrays. If you have a look at Anaconda https://www.anaconda.com/distribution/ you can download the suite in one go. I used the official Linux Mint repository to download the things I wanted. I think you will greatly benefit from a IDE I use Spider (also in the Anaconda suite) : https://www.spyder-ide.org/ but there are several others. If you want to create a GUI in your programs than Quantum seems a great Idea. I use PyQt5 which is the Python 3 version of Quantum version 5. I also would like to have a good book, but have not yet decided which one. There is a 50$ book on learning Python; the language reference (?) There is a 50$ book for learning PyQt5 programming of a GUI. There is a 50$ book on using Python in Pandas for analysing tabular data. In the meantime I use Gitlab for finding code snippets. I use these beginner guides : https://www.python.org/doc/ https://www.tutorialspoint.com/python3/ https://overiq.com/python-101/ https://www.pythonforbeginners.com/ https://www.programiz.com/python-programming/tutorial hth Gys -- https://mail.python.org/mailman/listinfo/python-list
