iloc giving IndexError single positional indexer is out-of-bounds

Question

I am trying to encode some information to read into a Machine Learning model using the following   import numpy as np import pandas as pd import matplotlib pyplot as py  Dataset   pd read csv  filename csv   sep         X   Dataset iloc    -1  values Y   Dataset iloc   18  values  from sklearn preprocessing import LabelEncoder  OneHotEncoder labelencoder X   LabelEncoder   X    0    labelencoder X fit transform X    0   onehotencoder   OneHotEncoder categorical features    0   X   onehotencoder fit transform X  toarray     however I am getting an error that reads  IndexError  single positional indexer is out-of-bounds

User · Accepted Answer

This error is caused by   Y   Dataset iloc   18  values   Indexing is out of bounds here most probably because there are less than 19 columns in your Dataset  so column 18 does not exist  The following code you provided doesn t use Y at all  so you can just comment out this line for now

User · Answer

This happens when you index a row column with a number that is larger than the dimensions of your dataframe  For instance  getting the eleventh column when you have only three     import pandas as pd  df   pd DataFrame   Name     Mark    Laura    Adam    Roger    Anna                        City     Lisbon    Montreal    Lisbon    Berlin    Glasgow                        Car     Tesla    Audi    Porsche    Ford    Honda       You have 5 rows and three columns       Name      City      Car 0   Mark    Lisbon    Tesla 1  Laura  Montreal     Audi 2   Adam    Lisbon  Porsche 3  Roger    Berlin     Ford 4   Anna   Glasgow    Honda   Let s try to index the eleventh column  it doesn t exist    df iloc    10    there is obviously no 11th column      IndexError  single positional indexer is out-of-bounds   If you are a beginner with Python  remember that df iloc    10  would refer to the eleventh column

[python] iloc giving 'IndexError: single positional indexer is out-of-bounds'

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