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@sgraaf
Last active July 2, 2022 13:46
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Pandas utility functions
import csv
from pathlib import Path
from typing import Optional, Union, Sequence, List, Literal
import pandas as pd
from tqdm import tqdm
def read_csv(
file: Path,
sep: str = ",",
header: Optional[Union[Sequence[int], int, Literal["infer"]]] = "infer",
names: Optional[List[str]] = None,
usecols: Optional[List[Union[int, str]]] = None,
encoding: Optional[str] = "utf-8",
) -> pd.DataFrame:
return pd.read_csv(file, sep=sep, header=header, usecols=usecols, names=names, encoding=encoding)
def read_csvs(
files: List[Path],
sep: str = ",",
header: Optional[Union[Sequence[int], int, Literal["infer"]]] = "infer",
names: Optional[List[str]] = None,
usecols: Optional[List[Union[int, str]]] = None,
encoding: Optional[str] = "utf-8",
use_tqdm: bool = False,
) -> pd.DataFrame:
if use_tqdm:
files = tqdm(files, desc="Reading CSV-files", total=len(files), unit="file")
return pd.concat(
[
read_csv(
file,
sep=sep,
header=header,
names=names,
usecols=usecols,
encoding=encoding,
)
for file in files
]
)
def read_xlsx(
file: Path,
names: Optional[List[str]] = None,
usecols: Optional[List[Union[int, str]]] = None,
) -> pd.DataFrame:
return pd.read_excel(file, names=names, usecols=usecols)
def read_xlsxs(
files: List[Path],
names: Optional[List[str]] = None,
usecols: Optional[List[Union[int, str]]] = None,
use_tqdm: Optional[bool] = False,
) -> pd.DataFrame:
if use_tqdm:
files = tqdm(files, desc="Reading XLSX-files", total=len(files), unit="file")
return pd.concat([read_xlsx(file, names=names, usecols=usecols) for file in files])
def write_csv(
df: pd.DataFrame,
file: Path,
sep: Optional[str] = ",",
encoding: Optional[str] = "utf-8",
quoting: Optional[int] = csv.QUOTE_MINIMAL,
quotechar: Optional[str] = '"',
decimal: Optional[str] = ".",
) -> None:
df.to_csv(
file,
sep=sep,
index=False,
encoding=encoding,
quoting=quoting,
quotechar=quotechar,
decimal=decimal,
)
def write_excel(
df: pd.DataFrame, file: Path, engine: Optional[str] = "openpyxl"
) -> None:
df.to_excel(file, index=False, engine=engine)
def sort_rows(
df: pd.DataFrame, by: Union[List[str], str], ascending: Optional[bool] = True
) -> pd.DataFrame:
return df.sort_values(by=by, ascending=ascending)
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