Can't call file from another - well correctly
Sayth Renshaw
flebber.crue at gmail.com
Sat Jul 4 22:38:39 EDT 2015
On Sunday, 5 July 2015 10:23:17 UTC+10, Sayth Renshaw wrote:
> I was playing with odo(blaze http://blaze.pydata.org/en/latest/) and wanted to use it with a current script I have been using on the command line.
>
> So my 2 scripts are below, I will explain here hopefully to keep question clearer what I have done. Script 2 works for me from the command line as
>
> python clean.py some.csv
>
> i wanted to use my script to fix up a bad csv and then use odo to a dataframe and hopefully build upon this later.
>
> When I run script 1 I get the error I need more than 1 value to unpack, which makes sense in that I have Script and Filename.
>
> ##Error###
> C:\Users\sayth\Repos\Notebooks>python odo_test.py
> Traceback (most recent call last):
> File "odo_test.py", line 3, in <module>
> import clean
> File "C:\Users\sayth\Repos\Notebooks\clean.py", line 9, in <module>
> SCRIPT, FILENAME = argv
> ValueError: need more than 1 value to unpack
>
> But if I change script2 to have just FILENAME = argv I get this error and I am not sure what to do.
>
> ##Error###
> C:\Users\sayth\Repos\Notebooks>python odo_test.py
> Traceback (most recent call last):
> File "odo_test.py", line 3, in <module>
> import clean
> File "C:\Users\sayth\Repos\Notebooks\clean.py", line 62, in <module>
> MY_FILE = out_file_name(FILENAME)
> File "C:\Users\sayth\Repos\Notebooks\clean.py", line 15, in out_file_name
> file_parts = file_name.split(".",)
> AttributeError: 'list' object has no attribute 'split'
>
> What can i do?
>
> ######Scripts #######
>
> # Script 1
>
> from odo import odo
> import pandas as pd
> import clean
>
> print(argv)
> myFile = race_table('20150704RHIL0.csv')
>
>
> odo(myFile, pd.DataFrame)
>
> # Script 2
>
> import csv
> import re
> from sys import argv
> SCRIPT, FILENAME = argv
> #FILENAME = argv
>
>
> def out_file_name(file_name):
> """take an input file and keep the name with appended _clean"""
> file_parts = file_name.split(".",)
> output_file = file_parts[0] + '_clean.' + file_parts[1]
> return output_file
>
>
> def race_table(text_file):
> """utility to reorganise poorly made csv entry"""
> output_table = []
> for record in text_file:
> if record[0] == 'Meeting':
> meeting = record[3]
> rail = record[6]
> weather = record[7]
> track = record[8]
> elif record[0] == 'Race':
> date = record[13]
> race = record[1]
> benchmark = record[4]
> distance = record[5]
> elif record[0] == 'Horse':
> number = record[1]
> name = record[2]
> jockey = record[6]
> barrier = record[7]
> weight = record[8]
> results = record[9]
> res_split = re.split('[- ]', results)
> starts = res_split[0]
> wins = res_split[1]
> seconds = res_split[2]
> thirds = res_split[3]
> try:
> prizemoney = res_split[4]
> except IndexError:
> prizemoney = 0
> trainer = record[4]
> location = record[5]
> b_rating = record[15]
> sex = record[16]
> print(name, wins, seconds)
> output_table.append((meeting, date, rail, weather, track, distance,
> benchmark, race, number, name, sex, b_rating,
> weight, barrier, starts, wins, seconds,
> thirds, prizemoney, trainer, location, jockey
> ))
> return output_table
>
> MY_FILE = out_file_name(FILENAME)
>
> # with open(FILENAME, 'r') as f_in, open(MY_FILE, 'w') as f_out:
> # for line in race_table(f_in.readline()):
> # new_row = line
> with open(FILENAME, 'r') as f_in, open(MY_FILE, 'w') as f_out:
> CONTENT = csv.reader(f_in)
> # print(content)
> FILE_CONTENTS = race_table(CONTENT)
> # print new_name
> # f_out.write(str(FILE_CONTENTS))
> headers = ['MEETING', 'DATE', 'RAIL', 'WEATHER', 'TRACK', 'DISTANCE',
> 'BENCHMARK', 'RACE', 'NUMBER', 'NAME', 'SEX', 'B_RATING',
> 'WEIGHT', 'BARRIER', 'STARTS', 'WINS', 'SECONDS', 'THIRDS',
> 'PRIZEMONEY', 'TRAINER', 'LOCATION', 'JOCKEY']
>
> f_csv = csv.writer(f_out)
> f_csv.writerow(headers)
> f_csv.writerows(FILE_CONTENTS)
>
>
> # Old implementation for reference
> # input_table = [[item.strip(' "') for item in record.split(',')]
> # for record in text_file.splitlines()]
> # At this point look at input_table to find the record indices
> # identity = string.maketrans("", "")
> # print(input_table)
> # input_table = [s.translate(identity, ",'") for s
> # in input_table]
>
> if __name__ == '__main__':
> main()
>
>
> many thanks for your time.
>
> Sayth
Solved it, well to sum extent by putting the whole clean.py into a function that called the others and then just called that.
Sayth
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