s-n-1-0 / labcsv.py

Get data column by column from the CSV file export by lab.js. Use Pandas.

labcsv.py

You can easily get the data you need columns from lab.js.csv!

Installation

pip install labcsv

How to Use

Read CSV

from labcsv import read_csv,DefaultHeaderName as LHName
rlab = read_csv("tests/test.csv") #<- path

Read columns as any type

• 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.

Get columns data

The return type is ndarry (get_column_values)

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"]) #multiple

The return type is list (get_column_list)

senders,time_commits = rlab.get_column_list([LHName.SENDER,LHName.TIME_COMMIT])
print(senders)
print(time_commits)

nan to Empty String

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.

Get meta

meta = rlab.get_meta()
print(meta["labjs_version"])
print(meta["language"])
print(meta["location"])