You can easily get the data you need columns from lab.js.csv!
pip install labcsv
from labcsv import read_csv,DefaultHeaderName as LHName
rlab = read_csv("tests/test.csv") #<- path- default: "001" -> 1.0
- str type: "001" -> "001"
rlab = read_csv("tests/test.csv",dtype={"Param2":str})*"Param2" is a header name
*The specifications are the same as for pandas.
values = rlab.get_column_values(LHName.SENDER) #n×1 size
# or
values = rlab.get_column_values([LHName.SENDER,LHName.RESPONSE,LHName.DURATION]) # n×3 size
# or
values = rlab.get_column_values("Param1") #custom column name
# or
values = rlab.get_column_values([LHName.SENDER, "Param1"]) #multiplesenders,time_commits = rlab.get_column_list([LHName.SENDER,LHName.TIME_COMMIT])
print(senders)
print(time_commits)from labcsv import read_csv,DefaultHeaderName as LHName
rlab = read_csv("tests/test.csv")
rlab.pandas_data.fillna('', inplace=True) #<---
print(rlab.get_column_values("Param1"))You can use pandas functions.
meta = rlab.get_meta()
print(meta["labjs_version"])
print(meta["language"])
print(meta["location"])
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