{"id":49190,"date":"2020-06-17T11:48:00","date_gmt":"2020-06-17T15:48:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=49190"},"modified":"2022-11-21T09:45:43","modified_gmt":"2022-11-21T14:45:43","slug":"exploratory-data-analysis-in-python-part-ii","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python-part-ii\/","title":{"rendered":"Exploratory Data Analysis in Python &#8211; Part II"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>Read <a href=\"\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/\">Part I<\/a> to get started with the Python packages and datasets.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can also find the standard deviation and the variance with the \u201cstatistics\u201d package. The Python code is shown below:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><p style=\"background-color:#fcfcdb;font-size:11px\" class=\"has-background\">\nimport statistics as st<br><br>\n\nprint(&#8220;Variance of the Closing price is % s&#8221; <br>\n      %(st.variance(tesla[&#8216;Close&#8217;]))) <br>\nprint(&#8220;Standard Deviation of Closing Price is % s &#8221; <br>\n                % (st.stdev(tesla[&#8216;Close&#8217;])))\n<\/p><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The output is as follows:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"485\" height=\"43\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/data-python.png\" alt=\"\" class=\"wp-image-49194 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/data-python.png 485w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/data-python-300x27.png 300w\" data-sizes=\"(max-width: 485px) 100vw, 485px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 485px; aspect-ratio: 485\/43;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Univariate graphical method<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let me ask you a question, have you ever asked a friend for directions to their house and felt confused. Sure they are giving the right directions, \u201cTake a left turn at XYZ Mall and a right at the ABC Bank\u201d etc., but you can\u2019t help feeling that it could be better. What if the friend gives you a map and says they have circled the destination in red.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Well, the map sounds better right? Most of us are quick to learn something if we have a visual in front of us than plain numbers in a table.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hence, we will take the earlier example, and do a line plot of the closing price to see the trend in the market.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Python code is as follows:<\/p>\n\n\n\n<p style=\"background-color:#fcfcdb;font-size:11px\" class=\"has-background\">\nimport matplotlib.pyplot as plt<br>\ntesla[&#8216;Close&#8217;].plot(figsize=(10,7))<br>\nplt.legend()<br>\nplt.grid()<br>\nplt.show()\n<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram.png\" alt=\"\" class=\"wp-image-49202 lazyload\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">You can also use the histogram to see the distribution. We will find the daily returns and plot its histogram.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s see the histogram:<\/p>\n\n\n\n<p style=\"background-color:#fcfcdb;font-size:11px\" class=\"has-background\">\ntesla[&#8216;daily_returns&#8217;].dropna()<br>\nplt.hist(tesla[&#8216;daily_returns&#8217;], bins = 5)\n<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"576\" height=\"345\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-2.png\" alt=\"\" class=\"wp-image-49207 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-2.png 576w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-2-300x180.png 300w\" data-sizes=\"(max-width: 576px) 100vw, 576px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 576px; aspect-ratio: 576\/345;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Since it is a small data set, we can\u2019t really infer anything meaningful here. In contrast, if we do a histogram of Tesla for the last year, we will find it as follows:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"384\" height=\"266\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-3.png\" alt=\"\" class=\"wp-image-49210 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-3.png 384w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/06\/histogram-3-300x208.png 300w\" data-sizes=\"(max-width: 384px) 100vw, 384px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 384px; aspect-ratio: 384\/266;\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Visit QuantInsti website to read the full article and download the Python code:<br><a href=\"https:\/\/blog.quantinsti.com\/exploratory-data-analysis-python\/\">https:\/\/blog.quantinsti.com\/exploratory-data-analysis-python\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:11px\">Disclaimer: All investments and trading in the stock market involve risk. Any decisions to place trades in the financial markets, including trading in stock or options or other financial instruments is a personal decision that should only be made after thorough research, including a personal risk and financial assessment and the engagement of professional assistance to the extent you believe necessary. The trading strategies or related information mentioned in this article is for informational purposes only.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>QuantInsti codes univariate graphical method in Python using the statistics and matplotlib packages. Histograms and charts help traders in analyzing the data.<\/p>\n","protected":false},"author":91,"featured_media":49193,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[339,343,349,338,350,341,344],"tags":[6900,5479,4922,6901,1006,6650,4659,7833,595,494,7834,7832],"contributors-categories":[13654],"class_list":["post-49190","post","type-post","status-publish","format-standard","has-post-thumbnail","category-data-science","category-programing-languages","category-python-development","category-ibkr-quant-news","category-quant-asia-pacific","category-quant-development","category-quant-regions","tag-algotrading","tag-data-visualisation","tag-econometrics","tag-exploratory-data-analysis","tag-fintech","tag-histogram","tag-matplotlib","tag-non-graphical-method","tag-python","tag-quant","tag-statistics-python-package","tag-univariate","contributors-categories-quantinsti"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v28.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Exploratory Data Analysis in Python &#8211; Part II<\/title>\n<meta name=\"description\" content=\"QuantInsti codes univariate graphical method in Python using the statistics and matplotlib packages. 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