utils/hashing.py

from hashlib import sha256
import pandas as pd


def hash_df(df: pd.DataFrame) -> str:
    s = str(df.columns) + str(df.index) + str(df.values)
    return sha256(s.encode()).hexdigest()


def hash_series(df: pd.Series) -> str:
    s = str(df.name) + str(df.index) + str(df.values)
    return sha256(s.encode()).hexdigest()
feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105 ) 2022-01-04 11:44:35 +01:00			`from hashlib import sha256`
			`import pandas as pd`

chore(Linter): reformatted code with black (#211 ) 2022-02-17 19:22:17 +01:00
feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105 ) 2022-01-04 11:44:35 +01:00			`def hash_df(df: pd.DataFrame) -> str:`
			`s = str(df.columns) + str(df.index) + str(df.values)`
			`return sha256(s.encode()).hexdigest()`

chore(Linter): reformatted code with black (#211 ) 2022-02-17 19:22:17 +01:00
feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105 ) 2022-01-04 11:44:35 +01:00			`def hash_series(df: pd.Series) -> str:`
			`s = str(df.name) + str(df.index) + str(df.values)`
chore(Linter): reformatted code with black (#211 ) 2022-02-17 19:22:17 +01:00			`return sha256(s.encode()).hexdigest()`