import pandas as pd
from ..tbl.table import Table
[docs]class SingleCsv(Table):
"""Import a CSV table as the top level of the observation data.
Args:
reqs[] (None): Input Data is not required.
param["path"] (str): Path to a CSV file.
param["col_info"] (list of list, optional): Column information.
Each list should have [depth number, column name, unit, type,
description]. e.g. [[1, "img_no", "int32", "num", "Image number"]].
param["split_depth"] (int): File split depth number.
Returns:
Table: Imported Table class
"""
[docs] def set_info(self, param):
"""Create information.
"""
for col_info in param["col_info"]:
self.info.add_column(
col_info[0], col_info[1], col_info[2],
col_info[3], col_info[4])
self.info.add_param("path", param["path"], "str", "Path to a CSV file")
self.info.set_split_depth(param["split_depth"])
[docs] @staticmethod
def process(reqs, param):
"""Load a CSV file from the path string.
Args:
param["path"] (str): CSV file path.
param["col_names"] (list of str): Column names.
Returns:
pandas.DataFrame: Imported table
"""
return pd.read_csv(param["path"])