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continuation of old csv and new csv file comparison

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Dipti
2021-01-27 15:10:57 -08:00
parent ab851dba7c
commit f5b1fae73e
2 changed files with 28 additions and 1 deletions
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26
py-json/realm.py
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@@ -1166,6 +1166,32 @@ class L3CXProfile(BaseProfile):
raise ValueError('Filename %s does not match output format %s' % (report_file, output_format))
else:
output_format = report_file.split('.')[-1]
#retrieve compared report if specified - turn into dataframe
if compared_report is not None:
compared_format = compared_report.split('.')[-1]
#initial dataframe
previous_data_df = pd.DataFrame()
if compared_format == 'hdf':
#df.to_hdf(report_file, 'table', append=True)
continue
if compared_format == 'parquet':
#df.to_parquet(report_file, engine='pyarrow')
continue
if compared_format == 'png':
#fig = df.plot().get_figure()
#fig.savefig(report_file)
continue
if compared_format.lower() in ['excel', 'xlsx'] or report_file.split('.')[-1] == 'xlsx':
continue
if compared_format == 'df':
#return df
continue
supported_formats = ['csv', 'json', 'stata', 'pickle','html']
for format in supported_formats:
if compared_format.lower() == format:
# exec('df.to_' + x + '("' + report_file + '",index=False' + ')')
previous_data_df= read_csv()
# Step 1, column names
fields=None