Unable to drop a specific row based on the index value and its index position. For my system it is crucial to use both. Code below.
Current Dataframe:
TICKER ORDER ID BUY DATE
TMC 1 1
TMC 1 1
TMC 1 1
TMC 2 1
RVPH 1 1
TSLA 150 09/18/2022, 18:10:13
TMC 1 1
TMC 1 1
Willing to drop the row with index value == 'TMC', counting three from bottom of the dataframe. It is for purposes of appending data and making it easier for me to modify and format.
This is what I have tried but gives error: ExcelPD = ExcelPD.drop(ExcelPD.loc['TMC'].iloc[-3])
Error: line 4340, in _drop_axis raise KeyError(f"{labels} not found in axis")
ExcelPD.loc['TMC']
selects the TMC
row, you can use boolean indexing
# if `TMC` is in index
ExcelPD = ExcelPD[ExcelPD.index != 'TMC']
# if `TMC` in in column
ExcelPD = ExcelPD[ExcelPD['TICKER'] != 'TMC']
# or
ExcelPD = ExcelPD.query("TICKER != 'TMC'")
Or use drop
if TMC
is in index
ExcelPD = ExcelPD.drop(index='TMC')
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