Syntax

import_csv_file(
       csvfile,                          # file or string
       firstline=True,                   # first line contains column names
       decimalremove=['€', 'EUR', '.'],  # remove these strings from decimal columns
       ignline=[1, 2, ...],              # skip these lines
       ignore_leer=['<column nam>',...], # ignore empty values in these columns
       encod='utf-8',                    # encoding if 'csvfile' is byte type
       )

Column names

• column names must contain field type info

• allowed types: C, D, DT, T, N, L

Example

NAME1,C

type String

CREATEDATE,D,%Y-%m-%d

type Date, detection tries defined format

CREATEDATE,D

type Date, detection tries predefines formats

DATETIME,DT,%Y-%m-%d %H:%M

type DateTime, detection tries defined format

DATETIME,DT

type DateTime, detection tries predefines formats

CREATETIME,T,%H:%M

type Time, detection tries defined format

CREATETIME,T

type Time, detection tries predefines formats

NUMSTEP,N,10,0

type Numeric (no decimals) –> Integer

AMOUNT,N,16,2

type Numeric (two decimals) –> Decimal

ISENABLED,L

Boolean (allowed: true, false, t, f, wahr, falsch, 1, 0)

default-type: String

if convert to requested type fails