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pandas-use-of-dot-iat (PD009)

Added in v0.0.188 · Related issues · View source

Derived from the pandas-vet linter.

What it does

Checks for uses of .iat on Pandas objects.

Why is this bad?

The .iat method selects a single value from a DataFrame or Series based on an ordinal index, and is slightly faster than using .iloc. However, .iloc is more idiomatic and versatile, as it can be used to select multiple values at once.

If performance is an important consideration, convert the object to a NumPy array, which will provide a much greater performance boost than using .iat over .iloc.

Example

import pandas as pd

students_df = pd.read_csv("students.csv")
students_df.iat[0]

Use instead:

import pandas as pd

students_df = pd.read_csv("students.csv")
students_df.iloc[0]

Or, using NumPy:

import numpy as np
import pandas as pd

students_df = pd.read_csv("students.csv")
students_df.to_numpy()[0]

References