catenp 0.1.5

Python client for extracting data from CATE archives to numpy arrays

DESCRIPTION

Python client for extracting data from CATE archives to numpy arrays.

You can also read more about CATE numpy usage here.

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)