Quickstart¶
Install neuprint-python¶
If you’re using conda, use this command:
conda install -c flyem-forge neuprint-python
Otherwise, use pip
:
pip install neuprint-python
Create the Client¶
from neuprint import Client c = Client('neuprint.janelia.org', dataset='hemibrain:v1.2.1', token='YOUR-TOKEN-HERE') c.fetch_version()
Alternatively, you can set your token in the following environment variable, in which case the token
parameter can be omitted:
$ export NEUPRINT_APPLICATION_CREDENTIALS=<my-token>
Execute a query¶
Use your Client
to request data from neuprint.
The Client.fetch_custom()
method will run an arbitrary cypher query against the database.
For information about the neuprint data model, see the neuprint explorer web help.
Also, neuprint-python
comes with convenience functions to implement common queries. See Queries.
In [1]: ## This query will return all neurons in the ROI ‘AB’ ...: ## that have greater than 10 pre-synaptic sites. ...: ## Results are ordered by total synaptic sites (pre+post). ...: q = """\ ...: MATCH (n :Neuron {`AB(R)`: true}) ...: WHERE n.pre > 10 ...: RETURN n.bodyId AS bodyId, n.type as type, n.instance AS instance, n.pre AS numpre, n.post AS numpost ...: ORDER BY n.pre + n.post DESC ...: """ In [2]: results = c.fetch_custom(q) In [3]: print(f"Found {len(results)} results") Found 177 results In [4]: results.head() Out[4]: bodyId type instance numpre numpost 0 5813027016 FB4Y FB4Y(EB/NO1)_R 1720 6508 1 1008378448 FB4Y FB4Y(EB/NO1)_R 1791 6301 2 1513363614 LCNOpm LCNOpm(LAL-NO3pm)_R 858 6501 3 5813057274 FB4Y FB4Y(EB/NO1)_L 2001 5089 4 1131827390 FB4M FB4M(PPM3-FB3/4-NO-DAN)_R 2614 4431
Next Steps¶
Try the interactive tutorial for a tour of basic features in neuprint-python
.