# !/usr/bin/env python3
import sys
import pandas as pd

input_file = sys.argv[1] # sales_2013.xlsx
output_files = sys.argv[2] # output_files/2output_basic.xls

data_frame = pd.read_excel(input_file, 'january_2013', index_col = None)
data_frame_value_meets_condition = data_frame[data_frame['Sale Amount'].astype(float) > 1400.0]

writer = pd.ExcelWriter(output_files)
data_frame_value_meets_condition.to_excel(writer, sheet_name='jan_13_output', index = False)
writer.save()
284586ce661784667138053482e0a59704b04245
<mask token>

<mask token>
data_frame_value_meets_condition.to_excel(writer, sheet_name=
    'jan_13_output', index=False)
writer.save()

<mask token>
input_file = sys.argv[1]
output_files = sys.argv[2]
data_frame = pd.read_excel(input_file, 'january_2013', index_col=None)
data_frame_value_meets_condition = data_frame[data_frame['Sale Amount'].
    astype(float) > 1400.0]
writer = pd.ExcelWriter(output_files)
data_frame_value_meets_condition.to_excel(writer, sheet_name=
    'jan_13_output', index=False)
writer.save()

import sys
import pandas as pd
input_file = sys.argv[1]
output_files = sys.argv[2]
data_frame = pd.read_excel(input_file, 'january_2013', index_col=None)
data_frame_value_meets_condition = data_frame[data_frame['Sale Amount'].
    astype(float) > 1400.0]
writer = pd.ExcelWriter(output_files)
data_frame_value_meets_condition.to_excel(writer, sheet_name=
    'jan_13_output', index=False)
writer.save()

# !/usr/bin/env python3
import sys
import pandas as pd

input_file = sys.argv[1] # sales_2013.xlsx
output_files = sys.argv[2] # output_files/2output_basic.xls

data_frame = pd.read_excel(input_file, 'january_2013', index_col = None)
data_frame_value_meets_condition = data_frame[data_frame['Sale Amount'].astype(float) > 1400.0]

writer = pd.ExcelWriter(output_files)
data_frame_value_meets_condition.to_excel(writer, sheet_name='jan_13_output', index = False)
writer.save()