I have to following situation:
I got some tracks as a LINESTRING (well-known text) and I need each of them in a separate gpx-file. All of them are stored in a csv file.
Do you have some ideas to get there? I didn't find any scripts or something else to convert from LINESTRING to gpx.
You could try ogr2ogr, which supports both CSV and GPX drivers. With your source CSV files, make sure the heading line for the geometry data is named "WKT".
Related
I want to read a specific line in a csv file in pandas on python.
Here is the structure of the file :
file :
example
how would be the best way to fill the values into a dataframe, with the correct name of the parameters?
thanks for help
Possible methods:
pandas.read_table method seems to be a good way to read (also in chunks) a tabular data file
doc: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_table.html
pandas has a good fast (compiled) csv reader pandas.read_csv (may be more than one).
doc: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html
Ref Link: https://codereview.stackexchange.com/questions/152194/reading-from-a-txt-file-to-a-pandas-dataframe
Hi I have a question for Matlab programming, I want to ask if I am using Mac OS and I have placed all my audio files in the same folder as Matlab, how do I read all the .wav audio files? I want to automate the process.
Example:
Firstly, I have an excel sheet with the audio file name and information.
Secondly, I want to extract the audio file names from the excel sheet (first column) and put it into the audioread function in MatLab.
I need to use the following audioread function.
[y,Fs]=audioread('audio1.wav');
I want to read audio1.wav and do some calculations on it. After finishing the calculation, I will proceed to read audio2.wav and do the same calculation for it. Can you teach me how to do this and show me the code for this?
Thank you.
In Matlab you can read xls files with readmatrix. You are maybe best to export your spreadsheet of audio files to a csv file first.
With regard to organising the data, it would be easiest for the spreadsheet to contain the full pathname to the file (i.e. /path/from/root/to/file.wav)
So, say you had a audio_files.csv of file paths like
/path/to/file1.wav, file1data
/path/to/file2.wav, file2data
/path/to/file3.wav, file3data
You could read each file with something like
filename = 'audio_files.csv';
audio_file_list = readmatrix(filename);
for audio_file = audio_file_list(:,1) % so long as the first column is the file paths
[y,Fs]=audioread(audio_file);
% do something to y
end
Of course, the % do something to y will depend entirely on what you want to achieve.
I'm having trouble trying to plot METAR data from the THREDDS data server, which comes in .nc format, onto a map. I'm using Siphon to grab the data and Xarray to open the dataset with remote_access, but the problem comes with attempting to convert the data to .csv or .txt. When using NetCDF Dataset and attempting to read the NetCDF4 file, I get a file does not exist error. I'm not really sure where to start as there doesn't seem to be much on the internet about this. Any help would be appreciated as I'm also really new to this.
script that reads CSV files and gets headers and filter by specific column, I have tried researching on it but nothing of quality I have managed to get.
Please any help will be deeply appreciated
There's a standard csv library included with Python.
https://docs.python.org/3/library/csv.html
It will automatically create a dictionary of arrays where the first row in the CSV determines the keys in the dict.
You can also follow pandas.read_csv for the same.
I want to know how can I import data in CSV and then how I can deal with it?
I had loaded the file but do not know how to read it.
'',' fixdsv dat ] load '/Users/apple/Downloads/data'
Assuming that the file /Users/apple/Downloads/data is a csv file then you should be able to load it into a J session as a boxed table like this:
load 'csv'
data=: readcsv '/Users/apple/Downloads/data'
If the file uses delimiters other than commas (e.g. Tabs) then you could use the tables/dsv addon.
data=: TAB readdsv '/Users/apple/Downloads/data'
See the J wiki for more information on the tables/csv and tables/dsv addons.
After loading the file, I think that I would start by reading the file into a variable then working with that.
data=: 1:!1 <'filepath/filename' NB. filename and path need to be boxed string
http://www.jsoftware.com/help/dictionary/dx001.htm
Also you could look at jd which is specifically a relational database system if you are more focussed on file management than data processing.
http://code.jsoftware.com/wiki/Jd/Index