{"id":51270,"date":"2024-04-15T23:22:25","date_gmt":"2024-04-15T23:22:25","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=51270"},"modified":"2024-04-15T23:22:25","modified_gmt":"2024-04-15T23:22:25","slug":"what-python-function-is-used-to-create-a-new-column-in-a-pandas-dataframe-based-on-the-values-of-existing-columns","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-python-function-is-used-to-create-a-new-column-in-a-pandas-dataframe-based-on-the-values-of-existing-columns\/","title":{"rendered":"What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;pd.read_csv()&#8221; option2=&#8221;np.array()&#8221; option3=&#8221;plt.plot()&#8221; option4=&#8221;df[&#8216;new_column&#8217;] = &#8230;&#8221; correct=&#8221;option4&#8243;]<!--more--><\/p>\n<p>The correct answer is D. df[&#8216;new_column&#8217;] = &#8230;<\/p>\n<p>The other options are incorrect because:<\/p>\n<ul>\n<li>A. pd.read_csv() is used to read a CSV file into a Pandas DataFrame.<\/li>\n<li>B. np.array() is used to create a NumPy array.<\/li>\n<li>C. plt.plot() is used to plot a figure.<\/li>\n<\/ul>\n<p>To create a new column in a Pandas DataFrame based on the values of existing columns, you can use the following syntax:<\/p>\n<p><code>df['new_column'] = expression<\/code><\/p>\n<p>where <code>expression<\/code> is a Python expression that evaluates to a value. For example, to create a new column that is the sum of the values in the <code>A<\/code> and <code>B<\/code> columns, you would use the following code:<\/p>\n<p><code>df['new_column'] = df['A'] + df['B']<\/code><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;pd.read_csv()&#8221; option2=&#8221;np.array()&#8221; option3=&#8221;plt.plot()&#8221; option4=&#8221;df[&#8216;new_column&#8217;] = &#8230;&#8221; correct=&#8221;option4&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-51270","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/what-python-function-is-used-to-create-a-new-column-in-a-pandas-dataframe-based-on-the-values-of-existing-columns\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;pd.read_csv()&#8221; 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