import pandas as pd
from pathlib import Path
from dascore.utils.tables import require_stated
frame = pd.DataFrame({"sequence": [1, 2]})
require_stated(frame, ["sequence"], Path("t/x.csv")) is NoneTruerequire_stated
require_stated(
frame: DataFrame ,
needed ,
path: Path ,
)-> ‘None’
Refuse a blank cell in a column the table is read by.
A column which orders or groups the rows decides where each one goes, so a row leaving it empty has no place. Left to pandas the row would simply disappear – a null sorts last, and a null grouping key drops its row from every group.
Parameters
| Parameter | Description |
|---|---|
| frame | The table to check. |
| needed |
The column names which must be stated by every row; a None is ignored. |
| path | The file the table was read from, for the error message. |