How would I go about adding a row to the top of this dataframe. This is downloaded data. I cannot use a specific row index in the formula because the first Datetime indice changes all the time. I cannot also use a specific label for the inner index as it could be Datetime. Is there a way to generalize this?wie eine Zeile zu einem so aussehen für Datum und Uhrzeit Multiindex Panda Dataframe
I tried this
df[df.index.min()[0])) - dt.timedelta(minutes=5), :] = [list to add]
however it only add a row at the end of the Dataframe. Sorting,
df.sort_index(inplace=True)
did not help because I guess I am dealing with 2 levels of index here; which would explain why the row sticks to the bottom of the frame.
A B C D E
2006-04-28 00:00:00
A 69.62 69.62 6.518 65.09 69.62
B
C
2006-05-01 00:00:00
A 71.5 71.5 6.522 65.16 71.5
B
C
2006-05-02 00:00:00
A 72.34 72.34 6.669 66.55 72.34
B
C
Das Endergebnis sollte hinzufügen: X
‚s sind die Elemente in der Liste/Array hinzugefügt werden.
A B C D E
NEWROW X1 X2 X3 X4 X5
2006-04-28 00:00:00
A 69.62 69.62 6.518 65.09 69.62
B
C
2006-05-01 00:00:00
A 71.5 71.5 6.522 65.16 71.5
B
C
2006-05-02 00:00:00
A 72.34 72.34 6.669 66.55 72.34
B
C
hey jezrael :), danke! Allerdings bekomme ich das: KeyError: 'MultiIndex Slicing erfordert den Index vollständig lexsortiert tuple len (2), lexsort Tiefe (1)' – uniXVanXcel
Versuchen Sie zuerst 'sort_index()', ich füge es zur Lösung hinzu. – jezrael
hast du es wieder getan :))) – uniXVanXcel