,
non_multi_choice = ["what_is_the_highest_level_of_formal_education_that_you_have_attained_or_plan_to_attain_within_the_next_2_years",
"select_the_title_most_similar_to_your_current_role_or_most_recent_title_if_retired_selected_choice",
"in_what_industry_is_your_current_employer_contract_or_your_most_recent_employer_if_retired_selected_choice",
"how_many_years_of_experience_do_you_have_in_your_current_role",
"what_is_your_current_yearly_compensation_approximate_usd",
"does_your_current_employer_incorporate_machine_learning_methods_into_their_business",
"of_the_choices_that_you_selected_in_the_previous_question_which_ml_library_have_you_used_the_most_selected_choice",
"approximately_what_percent_of_your_time_at_work_or_school_is_spent_actively_coding"] shorter_names = ["highest_level_of_formal_education",
"job_title",
"current_industry",
"years_of_experience",
"yearly_compensation",
"does_your_current_employer_incorporate_machine_learning_methods_into_their_business",
"which_ml_library_have_you_used_the_most_selected_choice",
"what_percent_of_your_time_at_work_is_spent_actively_coding"]发布于 2019-12-07 05:11:43
像这样的事怎么样:
for index, item in enumerate(non_multi_choice):
non_multi_choice[index] = shorter_names[index]发布于 2019-12-11 11:01:05
如果这些列包含所有列名,则:
df.columns = shorter_names如果不是
df.rename(columns = {old:new for old, new in zip(non_multi_choice, shorter_names})https://stackoverflow.com/questions/59223093
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