create a label as a new column in pandas dataframe based on if a column named 'error' is bigger than 5 in python

To create a label as a new column in a pandas dataframe based on whether a column named 'error' is bigger than 5 in Python, you can use the following code:

main.py
import pandas as pd

# Assuming your dataframe is called 'df'

# Create a new column 'label' using a conditional statement on the 'error' column
df['label'] = ['big' if x > 5 else 'small' for x in df['error']]

# Print the updated dataframe
print(df)
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In the above code, we use a list comprehension to iterate over each value in the 'error' column of the dataframe. We check if the value is greater than 5, and if it is, we assign the label 'big' to the new 'label' column. Otherwise, we assign the label 'small'. This process will add a new column 'label' to your dataframe with the desired labels based on the condition.

Make sure to replace 'df' with the actual name of your dataframe.