Python, Pandas, Data Science, Climate Change, Matplotlib.
_process_row(self, row) -> None: relevant_elements = ["Temperature change", "Standard Deviation"] if (element := row["Element"]) not in relevant_elements or (month := MONTHS.get(row["Months"])) is None: return None for year, value in row.filter(regex="Y.*").items(): new_element =