Comments (1)
Hi Sam –
You can do this fairly easily using numpy.ndarray.tofile
The .dat files don't have a header, so you can load them efficiently using memory mapping. You will need to know the number of channels in the file to do this (check the structure.oebin
file for this number).
import numpy as np
data = np.memmap(filename, dtype='int16')
data = np.reshape(data, (data.size // numChannels, numChannels)
Once you have the data loaded, you can write it to a file using:
f = open(newfilename, 'wb')
data.tofile(f)
f.close()
Now, you can add additional recordings to the same file by opening the file in "append" mode:
f = open(newfilename, 'a')
data2.tofile(f)
f.close()
Let me know if that works! Just keep in mind that this may be pretty slow if your data files are large.
from analysis-tools.
Related Issues (20)
- Splitting and Merging .dat Files HOT 3
- Trouble loading events data in matlab when saving in flat binary format with the updated GUI: load_open_ephys_binary.m looks for channels.npy HOT 3
- Binary dat files to Plexon Offline sorter HOT 7
- Failing to read metadata.npy for TTL events in this specific setup HOT 4
- Converting continuous.dat into SpikeGLX flat binary HOT 4
- data and timestamp length unequal using load_open_ephys_binary HOT 4
- Session? HOT 1
- Flat binary file has more/less samples than expected HOT 4
- How to convert .continuous format to flat binary for using in Klusta HOT 1
- How to display the specific time point for spikes ? HOT 1
- load_open_ephys_data_faster.m memory error HOT 5
- Import continuous data recorded by neuropixels HOT 11
- Opening the binary data HOT 4
- issue running TT openephys data recorded in binary to Mclust
- Using analysis tools in Jupyter Notebook HOT 4
- Info Channel Header Location HOT 2
- Missing Probeinterface file for Neuropixel 1.0 (Open Ephys)
- recovering timestamps HOT 1
- OEP v0.6.2 Python KeyError: 'source_processor_sub_idx HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from analysis-tools.