/
corporations_result.py
43 lines (29 loc) · 1.22 KB
/
corporations_result.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
import os
from multiprocessing import Pool
from typing import List
import pandas as pd
from vortexasdk.api import Corporation
from vortexasdk.api.search_result import Result
class CorporationsResult(Result):
"""Container class that holds the result obtained from calling the `Vessels` endpoint."""
def to_list(self) -> List[Corporation]:
"""Represent vessels as a list."""
list_of_dicts = super().to_list()
with Pool(os.cpu_count()) as pool:
return list(pool.map(Corporation.from_dict, list_of_dicts))
def to_df(self, columns=None) -> pd.DataFrame:
"""
Represent corporations as a `pd.DataFrame`.
# Arguments
columns: The corporation features we want in the dataframe. Enter `columns='all'` to include all features.
Defaults to `columns = ['id', 'name', 'corporate_entity_type']`.
# Returns
`pd.DataFrame` of corporations.
"""
if columns is None:
columns = DEFAULT_COLUMNS
if columns == "all":
return pd.DataFrame(super().to_list())
else:
return pd.DataFrame(super().to_list(), columns=columns)
DEFAULT_COLUMNS = ["id", "name", "corporate_entity_type"]