human
I am working on the file "2018/data_wrangling/Create Boulders Final.ipynb".
The first task is:
<br>
Add column VotedBy
Can you write Python program for it?

=====
Give me a the Python program you requested?
assistant
#Here is the Python program you requested.

"""
# Simpler but slower (appr. four times) implementation
# 533 ms ± 95.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
def add_column_votedby(column_name="VotedBy"):
    # Gender mappings from Finnish to English
    gender_dict = {
        "Mies": "Male",
        "Nainen": "Female"
    }

    # Iterate over boulders
    for index, row in boulder_details_df.iterrows():
        boulder_name = index
        gender_s = spb2018_df.loc[(spb2018_df["Boulderin nimi"] == boulder_name) | (spb2018_df["Boulderin nimi.1"] == boulder_name) | (spb2018_df["Boulderin nimi.2"] == boulder_name), "Sukupuoli"]
        boulder_details_df.loc[boulder_name, column_name] = gender_dict[gender_s.iloc[0]] if gender_s.nunique() == 1 else "Both"
"""
"""
# More complex but faster (appr. four times) implementation
# 136 ms ± 5.42 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
def add_column_votedby(column_name="VotedBy"):
    # Initialize the new column
    boulder_details_df[column_name] = ""
    
    # Gender mappings from Finnish to English
    gender_dict = {
        "Mies": "Male",
        "Nainen": "Female"
    }

    def update_genders(gender, boulder_names):
        for boulder_name in boulder_names:
            previous_gender = boulder_details_df.loc[boulder_name, column_name]
            if previous_gender == "" or previous_gender == gender:
                boulder_details_df.loc[boulder_name, column_name] = gender
            else:
                boulder_details_df.loc[boulder_name, column_name] = "Both"

    # Iterate over form responses
    for index, row in spb2018_df.iterrows():
        gender = gender_dict[row["Sukupuoli"]]
        boulder_names = [row["Boulderin nimi"], row["Boulderin nimi.1"], row["Boulderin nimi.2"]]
        boulder_names = [boulder_name for boulder_name in boulder_names if pd.notnull(boulder_name)]
        update_genders(gender, boulder_names)
"""
# Typical implementation
# 430 ms ± 78.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
def...