Error: ‘series’ object has no attribute ‘contains’
An ‘AttributeError’ with the message ‘series’ object has no attribute ‘contains’ occurs when you try to access the ‘contains’ attribute or method on a pandas Series object, but it doesn’t exist.
The ‘contains’ attribute or method is used to check if a given pattern is present in the values of a Series. However, this attribute is not available in a Series object by default.
Here’s an example that demonstrates the error:
import pandas as pd
# Create a simple Series
data = ['apple', 'banana', 'orange']
series = pd.Series(data)
# Try to use the 'contains' attribute
series.contains('apple')
In the above example, we create a Series object with values [‘apple’, ‘banana’, ‘orange’]. Then we try to use the ‘contains’ attribute on the series, which results in the ‘AttributeError’.
To solve this error, you can use other available methods/functions in pandas to achieve the desired functionality. For example, you can use the ‘str.contains()’ method on a Series to check if a pattern is present in the values:
# Use the 'str.contains()' method to check for a pattern
series.str.contains('apple')
In the corrected example, we use the ‘str.contains()’ method instead. This method is provided by pandas and can be accessed by first converting the Series to a string-like object using ‘astype(str)’. The ‘str.contains()’ method then allows us to check if the pattern ‘apple’ is present in the values of the Series.
Make sure to consult the pandas documentation for other available methods and functions that can be used on a Series to perform operations like pattern matching, filtering, etc.