| Name | catenp JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | Python client for extracting data from CATE archives to numpy arrays |
| upload_time | 2024-08-22 12:54:43 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
DESCRIPTION
===========
Python client for extracting data from CATE archives to numpy arrays
INSTALLATION
------------
pip install catenp
USAGE
-----
See also `catenp.catenumpy.Example`
from catenp import Authenticate,ArchiveInfo,DatabaseInfo,GetData
# Authenticate to the server
tk = Authenticate(serverAddress,serverPort,cateUserName,catePassword)
# Get basic archive infor like channel raneg and sample rate
info = ArchiveInfo(serverAddress,serverPort,cateUserName)
print("Info: ")
for kk in info: print(kk,":",info[kk])
# Get database info and broad archive coverage
info = DatabaseInfo(serverAddress,serverPort,cateUserName)
print("Info: ")
for kk in info:
if kk !="segments":
print(" ",kk,":",info[kk])
else:
print(" segments:")
for xx in info[kk]:
for ll in xx: print(" ",ll,":",xx[ll])
print("")
# Get detailed database coverage in a time and channel range
cov = DatabaseCoverage(serverAddress,serverPort,cateUserName,
"2024-05-01T08:30:00+00:00",
"2024-05-01T09:30:00+00:00",
0,16000
)
print("Info: ")
for xx in cov["query"]:
print("\n")
for kk in xx:
if kk!="row_series_info":
print(kk,":",xx[kk])
else:
print("row_series_info:")
for rr in xx["row_series_info"]:
print(rr["min_time"],rr["max_time"],rr["min_channel"],rr["max_channel"],rr["data_url"])
# Extract some data for a time and channel range
arr=GetData(serverAddress,serverPort,cateUserName,tstart,tstop,cstart,cstop)
Raw data
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