Python initialize Examples

Example #1

File: sc_groupby_apply.py Project: dkyos/text-mining

#!/usr/bin/env python

import csv
import sys
import scipy
import logging
import numpy as np
import matplotlib
import sklearn
import datetime
import pandas as pd
import argparse
import sc_util as sc

sc.initialize(logging.INFO)

FLAGS = None

parser = argparse.ArgumentParser()
parser.add_argument('--input', type=str, default='test.csv', help='input file')
FLAGS, unparsed = parser.parse_known_args()
sc.logger.info("--input [%s] " % FLAGS.input)

df_src = pd.read_csv(FLAGS.input,
                     sep='|',
                     error_bad_lines=False,
                     quoting=csv.QUOTE_NONE,
                     encoding='utf-8')

sc.logger.info('=' * 80)
df_mean = df_src['A3'].groupby(df_src['user'])

Example #2

File: ex_skipinitialspace.py Project: dkyos/text-mining

#!/usr/bin/env python

import csv
import sys
import scipy
import logging
import numpy as np
import matplotlib
import sklearn
import datetime
import pandas as pd
import tensorflow as tf
import sc_util

sc_util.initialize(logging.INFO)

lines = '''222, 333'''.splitlines()

#list
print(lines)
for i in lines:
    print(i)

print("=" * 10 + " skipinitiallspaces=True")
for l in csv.reader(lines,
                    delimiter=',',
                    quoting=csv.QUOTE_NONE,
                    skipinitialspace=True):
    print(l)
    for i in l:
        print(i)