本文整理匯總了Python中preprocessor.Preprocessor.to_csv方法的典型用法代碼示例。如果您正苦於以下問題：Python Preprocessor.to_csv方法的具體用法？Python Preprocessor.to_csv怎麽用？Python Preprocessor.to_csv使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類preprocessor.Preprocessor的用法示例。
在下文中一共展示了Preprocessor.to_csv方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: Preprocessor
# 需要導入模塊: from preprocessor import Preprocessor [as 別名]
# 或者: from preprocessor.Preprocessor import to_csv [as 別名]
sensormerge = []
othermerge = []
summary = {}
for target in to_preprocess:
target_path = os.path.join(extract_path, target)
columns = spec[target][cols_key].split(',')
renames = spec[target][rename_key] if rename_key in spec[target].keys() else None
# Preprocess and write out a standalone file for the data source
preproced = Preprocessor(target_path, columns, renames).run()
if to_merge:
if set(sensor_keys) < set(columns):
sensormerge.append(preproced)
else:
othermerge.append(preproced)
preproced.to_csv(os.path.join(out_path, target + '.pprc'), header=preproced.columns, index=False)
# Generate summary of preprocessed data
summary[target] = Summarizer(preproced).get_full_report()
# Note missing files and write out a standalone summary file
summary['missing'] = [f for f in target_files if f not in to_preprocess]
with open(os.path.join(out_path, 'summary.json'), 'w') as sumfile:
json.dump(summary, sumfile, sort_keys=True, indent=4)
# Merge sensors together first, then everything else, then write it out
if to_merge:
merged = reduce(lambda x,y: x.merge(y, how='outer', on=sensor_keys, sort=False), sensormerge)
merged = reduce(lambda x,y: x.merge(y, how='outer', on=all_keys, sort=True), othermerge, merged)
merged.to_csv(os.path.join(out_path, 'merged.pprc'), header=merged.columns, index=False)