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Indexerror: single positional indexer is out-of-bounds
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Indexerror: single positional indexer is out-of-bounds

In this article, we will solve the error `Indexerror: single positional indexer is out-of-bounds` in the python programming language. This error occurs when we attempt to access, call, or `use any memory that is outside the bounds of the index`, an index-based error occurs. We can solve this by obtaining the `dataset's form` in order to correct this issue.


What is an IndexError? #

When an index that is supplied does not fall within the bounds of an array, Python throws an IndexError. Index numbers in Python begin at 0. Let's examine a typical Python array as an example:

["lion," "sheep,"whale"]

The first item in this array of three values, the lion, has an index value of 0. Sheep, the second component, has an index value of 1. Whale, the third component, has an index value of 2.

It will raise an IndexError if we attempt to access an item at position 3 in the index.


What is a DataFrame? #

A 2-dimensional table of rows and columns makes up a data structure called a DataFrame. DataFrames and the Python module Pandas are compatible.


What is iloc()? #

Pandas provide tools for performing large-scale data analysis, such as the iloc() function, which lets us pick specific rows, columns, or even individual cells from a dataset. The integer-based indexing for selection by position is done by the iloc() function. If a requested index is outside of acceptable bounds, iloc() will raise "IndexError: single positional indexer is out-of-bounds." However, if you use a slice index, for instance, this mistake won't happen.

array[:slice_index]


What is Indexerror: single positional indexer is out-of-bounds error? #

When programmers attempt to access, call, or use any memory that is outside the bounds of the index, an index-based error manifests. Let's say you have a list with five items on it. This indicates that your index will range from 0 to 4. But is it now feasible to access, show, or modify the value of the seventh index? Your index range falls between 0 and 4, hence the answer is no. We referred to this as being bound. However, the Python interpreter refers to accessing elements outside of the constraints as an out-of-bounds condition.


Indexerror in case of dataset accessing #

Assume you have a dataset called Y = Dataset. iloc[:,18]. values

If you are getting the Indexing is out of bounds error in this situation, it is likely that your dataset has fewer than 18 columns and you are attempting to access something that does not exist. Thus, there is no column that is less than 18.


Indexerror in case of unknown DataFrame Size #

A similar issue happens if you attempt to index a row or column whose number exceeds the dimensions of your DataFrame. For instance, if you only have three columns specified in this way and want to fetch the seventh column from your DataFrame.

Program

import pandas as pd

df = pd.DataFrame({'Name': ['Karl', 'Ray', 'Gaurav', 'Dee', 'Sue'],

                   'City': ['London', 'Montreal', 'Delhi', 'New York', 'Glasgow'],

                   'Car': ['Maruti', 'Audi', 'Ferrari', 'Rolls Royce', ' Tesla'] })

print(df)

x = df.iloc[0, 8]

print(x)

Output

raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds

The second size attribute () we wish to get does not exist, hence this application generates an error.

This can also occur if the iloc() function was misunderstood by the coder. The dataset or data in a tabular format can be selected by using the iloc() function on a specific cell. any information from a group of values in a data frame or dataset that corresponds to a specific row or column.

The value before the comma (,) in this function specifies the index of rows, and the value after the comma (), is the index of columns. However, if your data is outside of the range, iloc() won't be able to retrieve any data and will display this error.


Solution #

Explanation

The DataFrame (2-D dataset) with three columns and five rows is first created, then printed. Here, we have specifically stated the row and column values for which there are no errors. We must therefore examine the outer bound of the rows and columns in our dataset in order to fix the indexerror single positional indexer is an out-of-bounds error.

Program

import pandas as pd

df = pd.DataFrame({'Name': ['Karl', 'Ray', 'Gaurav', 'Dee', 'Sue'],

                   'City': ['London', 'Montreal', 'Delhi', 'New York', 'Glasgow'],

                   'Car': ['Maruti', 'Audi', 'Ferrari', 'Rolls Royce', ' Tesla'] })

print(df)

x = df.iloc[3, 0]

print("\n Fetched value using the iloc() is: ", x)

Output

     Name      City          Car

0    Karl    London       Maruti

1     Ray  Montreal         Audi

2  Gaurav     Delhi      Ferrari

3     Dee  New York  Rolls Royce

4     Sue   Glasgow        Tesla

Fetched value using the iloc() is:  Dee


Conclusion 

In this article, we solved the error `Indexerror: single positional indexer is out-of-bounds` in python. To eliminate such error warnings and avoid running into them frequently. Programmers should also pay close attention to the acceptable `range of index values`. Additionally, using `iloc()` to retrieve whatever value a programmer desire is simple and pleasant. But in order to avoid getting the error message Indexerror: single positional indexer is out-of-bounds, the programmer must make sure that they are referring to the correct index values.

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