make processing 2d data more convenient
Project description
Data Process
Make processing 2d data more convenient
Install
pip install data-process
Module description
- collect_csv_data: Collect data in a directory contains CSV files
- date: Generate current date and time; get the range of and start, end day of a period date; convert bettween string and
datetime.datetime
type - date_range: Get the range of date from the start, end, range gap you provided
- decimal_helper: Convert float to Decimal type
- dict_helper: Replace the keys of a dict; infinite
defaultdict
data structure; get data by a series of keys - filter_date: Filter a series date string by the given start, end date
- green_dict: Make the
dict
compatibal with thejson.dumps
, especially fordate(time)
type - group_by: Group a series of
dict
by a list of functions; degroup a deep grouped dict by the depths - io_csv: Read, write csv files
- io_json: Read, write json files
- io_files: List files in a glob pattern directories
- io_lines: Read as lines from a file except the lines are blank or start with '#'
- iter_dict: Convert dict for output, handled by the type of values separately
- join: Left, right, inner, outer join a series of dict as like in SQL
- list_helper: Flat a nested list
- pandas_helper: Functions wrapper for using
pandas
conveniently. Convertpandas.DataFrame
to a list of dict; aggregate DataFrame by a field.
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