typeerror: 'float' object is not subscriptable pandas in python

This error occurs when you try to use the indexing operator [] on a float object, which is not possible. The indexing operator can only be used on objects like list, tuple, string, etc.

To resolve this, you should check the code where you are using indexing and verify if you are accessing the correct object types.

For example, if you have a pandas DataFrame with a column that contains float values and you are trying to access one of the values using the indexing operator [], you will get this error.

Here is an example:

main.py
import pandas as pd

df = pd.DataFrame({'values': [1.2, 2.5, 3.7]})
print(df['values'][0])  # This will print 1.2
print(df['values'][0][0])  # This will raise the TypeError
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To fix this, you should only use the indexing operator once to access the value:

main.py
import pandas as pd

df = pd.DataFrame({'values': [1.2, 2.5, 3.7]})
print(df['values'][0])  # This will print 1.2
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5 lines

Alternatively, you can use the .iloc function to access the value by its index:

main.py
import pandas as pd

df = pd.DataFrame({'values': [1.2, 2.5, 3.7]})
print(df['values'].iloc[0])  # This will print 1.2
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