Pandasnotimplementederror: the method `pd.series.__iter__()` is not implemented. if you want to collect your data as an numpy array, use ‘to_numpy()’ instead.

by

When you encounter the error message “pandas.NotImplementedError: The method `pd.Series.__iter__()` is not implemented. If you want to collect your data as a NumPy array, use ‘to_numpy()’ instead,” it means that you are trying to iterate over a Pandas Series object using the built-in iterator, but Pandas does not implement this functionality. Instead, you should use the `to_numpy()` method to collect your data as a NumPy array.

Let’s see an example to understand this better:

# Import the required libraries
import pandas as pd

# Create a Pandas Series object
series_data = pd.Series([10, 20, 30, 40, 50])

# Try to iterate over the Series
for value in series_data:
    print(value)

The above code will throw the pandas.NotImplementedError with the corresponding message because Pandas Series does not support direct iteration.

# Correct way to collect data as a NumPy array
numpy_array = series_data.to_numpy()
print(numpy_array)

In this example, we first create a Pandas Series object called `series_data` with values [10, 20, 30, 40, 50]. Then, we try to loop over the Series using a for loop, which results in the mentioned error.

To collect the data as a NumPy array, we use the `to_numpy()` method on the `series_data` object. This method converts the Series into a NumPy array, which can be easily iterated over or used for further analysis.

The output will be:

[10 20 30 40 50]

So, instead of trying to iterate over a Pandas Series object using `__iter__()`, make use of the `to_numpy()` method to access the data as a NumPy array.

Leave a comment