{"id":838,"date":"2023-07-28T14:19:04","date_gmt":"2023-07-28T14:19:04","guid":{"rendered":"https:\/\/statorials.org\/my\/python-%e1%80%81%e1%80%b1%e1%80%90%e1%80%ba%e1%80%95%e1%80%ad%e1%80%9b%e1%80%99%e1%80%85%e1%80%ba\/"},"modified":"2023-07-28T14:19:04","modified_gmt":"2023-07-28T14:19:04","slug":"python-%e1%80%81%e1%80%b1%e1%80%90%e1%80%ba%e1%80%95%e1%80%ad%e1%80%9b%e1%80%99%e1%80%85%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/python-%e1%80%81%e1%80%b1%e1%80%90%e1%80%ba%e1%80%95%e1%80%ad%e1%80%9b%e1%80%99%e1%80%85%e1%80%ba\/","title":{"rendered":"Python \u1010\u103d\u1004\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a<\/strong> \u101e\u100a\u103a \u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u101c\u1030\u1026\u1038\u101b\u1031\u104f \u1021\u101e\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u101c\u102d\u1004\u103a\u1001\u103d\u1032\u101d\u1031\u1019\u103e\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1002\u101b\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1016\u103d\u1032\u1037\u1005\u100a\u103a\u1038\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1010\u102d\u102f\u1038\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u101c\u1019\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1021\u101e\u102f\u1036\u1038\u101d\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a Python \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9264 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython1.png\" alt=\"Python \u101b\u103e\u102d \u1001\u1031\u1010\u103a\u1015\u102d\u101b\u1019\u1005\u103a\" width=\"505\" height=\"347\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u101b\u103e\u102d \u1001\u1031\u1010\u103a\u1015\u102d\u101b\u1019\u1005\u103a<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u1014\u102d\u102f\u1004\u103a\u1004\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1000\u103a \u1021\u101e\u1000\u103a\u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u101e\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1019\u103b\u102d\u102f\u1038\u101e\u1019\u102e\u1038 \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u101c\u1030\u1026\u1038\u101b\u1031\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #008080;\">#import libraries<\/span> \nimport<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd \n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create dataframe<\/span>\ndf = pd.DataFrame({'Age': ['0-9','10-19','20-29','30-39','40-49','50-59','60 -69','70-79','80-89','90+'], \n                    'Male': [9000, 14000, 22000, 26000, 34000, 32000, 29000, 22000, 14000, 3000], \n                    'Female': [8000, 15000, 19000, 28000, 35000, 34000, 28000, 24000, 17000, 5000]})\n<span style=\"color: #008080;\">#view dataframe<\/span> \ndf\n\n    Age Male Female\n0 0-9 9000 8000\n1 10-19 14000 15000\n2 20-29 22000 19000\n3 30-39 26000 28000\n4 40-49 34000 35000\n5 50-59 32000 34000\n6 60-69 29000 28000\n7 70-79 22000 24000\n8 80-89 14000 17000\n9 90+ 3000 5000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1000\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define x and y limits<\/span>\ny = range(0, len(df))\nx_male = df['Male']\nx_female = df['Female']\n\n<span style=\"color: #008080;\">#define plot parameters<\/span>\nfig, axes = plt.subplots(ncols=2, sharey=True, figsize=(9, 6))\n\n<span style=\"color: #008080;\">#specify background color and plot title<\/span>\nfig.patch.set_facecolor('xkcd:light grey')\nplt.figtext(.5,.9,\"Population Pyramid\", fontsize=15, ha='center')\n    \n<span style=\"color: #008080;\">#define male and female bars<\/span>\naxes[0].barh(y, x_male, align='center', color='royalblue')\naxes[0].set(title='Males')\naxes[1].barh(y, x_female, align='center', color='lightpink')\naxes[1].set(title='Females')\n\n<span style=\"color: #008080;\">#adjust grid parameters and specify labels for y-axis<\/span>\naxes[1].grid()\naxes[0].set(yticks=y, yticklabels=df['Age'])\naxes[0].invert_xaxis()\naxes[0].grid()\n\n<span style=\"color: #008080;\">#displayplot<\/span>\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9264 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython1.png\" alt=\"Python \u101b\u103e\u102d \u1001\u1031\u1010\u103a\u1015\u102d\u101b\u1019\u1005\u103a\" width=\"506\" height=\"348\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1002\u101b\u1015\u103a\u1016\u103a\u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u101e\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u101e\u1019\u102e\u1038 \u1001\u103d\u1032\u101d\u1031\u1019\u103e\u102f\u101e\u100a\u103a \u1019\u103b\u103e\u1010\u1005\u103d\u102c \u1021\u1001\u103b\u102d\u102f\u1038\u1000\u103b\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1015\u103c\u101e\u1011\u102c\u1038\u1015\u103c\u102e\u1038 \u101c\u1030\u1026\u1038\u101b\u1031\u1021\u1019\u103b\u102c\u1038\u1005\u102f\u101e\u100a\u103a \u101c\u1030\u101c\u1010\u103a\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u101b\u103d\u101a\u103a \u1018\u1031\u102c\u1004\u103a\u101e\u102d\u102f\u1037 \u1000\u103b\u101b\u1031\u102c\u1000\u103a\u101e\u103d\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1015\u103c\u101e\u101e\u100a\u103a\u104b \u1024\u1002\u101b\u1015\u103a\u1000\u102d\u102f\u1000\u103c\u100a\u1037\u103a\u101b\u102f\u1036\u1016\u103c\u1004\u1037\u103a\u104a \u1024\u1014\u102d\u102f\u1004\u103a\u1004\u1036\u1010\u1005\u103a\u1001\u102f\u104f \u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102f\u1036\u101e\u100f\u1039\u100d\u102c\u1014\u103a\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1000\u103c\u1036\u1025\u102c\u100f\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101b\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/matplotlib.org\/3.1.0\/gallery\/color\/named_colors.html\" target=\"_blank\" rel=\"noopener\">matplotlib \u1021\u101b\u1031\u102c\u1004\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1010\u103d\u1004\u103a<\/a> \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u101e\u1004\u103a\u101e\u100a\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1014\u1031\u102c\u1000\u103a\u1001\u1036\u1014\u103e\u1004\u1037\u103a \u1018\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1001\u103b\u1004\u103a\u1038\u1005\u102e\u104f \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a &#8220; \u1021\u101d\u102b\u1014\u102f\u101b\u1031\u102c\u1004\u103a\u101b\u103e\u102d\u101e\u1031\u102c&#8221;  \u1014\u1031\u102c\u1000\u103a\u1001\u1036\u1016\u103c\u1004\u1037\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a &#8220; hotpink&#8221;  \u1014\u103e\u1004\u1037\u103a &#8220; dodgerblue&#8221;  \u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>fig.patch.set_facecolor('xkcd: <span style=\"color: #800080;\">beige<\/span> ')\n    \naxes[0].barh(y, x_male, align='center', color=' <span style=\"color: #800080;\">dodgerblue<\/span> ')\n\naxes[1].barh(y, x_female, align='center', color=' <span style=\"color: #800080;\">hotpink<\/span> ')\n\nplt.show()<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9265 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython2.png\" alt=\"\u1000\u103d\u1032\u1015\u103c\u102c\u1038\u1001\u103c\u102c\u1038\u1014\u102c\u1038\u101e\u1031\u102c\u1021\u101b\u1031\u102c\u1004\u103a\u1021\u101c\u103d\u103e\u102c\u101b\u103e\u102d\u101e\u1031\u102c Python \u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a\" width=\"507\" height=\"349\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u1004\u1037\u103a\u1021\u1010\u103d\u1000\u103a \u1021\u101e\u1004\u1037\u103a\u1010\u1031\u102c\u103a\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u1019\u100a\u1037\u103a\u1021\u101b\u1031\u102c\u1004\u103a\u1015\u1031\u102b\u103a \u1019\u1030\u1010\u100a\u103a\u104d \u1021\u101b\u1031\u102c\u1004\u103a palette \u1000\u102d\u102f \u101c\u103d\u1010\u103a\u101c\u1015\u103a\u1005\u103d\u102c\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u102b\u104b<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a \u101e\u100a\u103a \u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u101c\u1030\u1026\u1038\u101b\u1031\u104f \u1021\u101e\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u101c\u102d\u1004\u103a\u1001\u103d\u1032\u101d\u1031\u1019\u103e\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1002\u101b\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1016\u103d\u1032\u1037\u1005\u100a\u103a\u1038\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u101c\u1030\u1026\u1038\u101b\u1031\u1010\u102d\u102f\u1038\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u101c\u1019\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u102f \u1014\u102c\u1038\u101c\u100a\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1021\u101e\u102f\u1036\u1038\u101d\u1004\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a Python \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101c\u1030\u1026\u1038\u101b\u1031\u1015\u102d\u101b\u1019\u1005\u103a\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b Python \u101b\u103e\u102d \u1001\u1031\u1010\u103a\u1015\u102d\u101b\u1019\u1005\u103a \u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u1014\u102d\u102f\u1004\u103a\u1004\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1000\u103a \u1021\u101e\u1000\u103a\u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u101e\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1019\u103b\u102d\u102f\u1038\u101e\u1019\u102e\u1038 \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u101c\u1030\u1026\u1038\u101b\u1031\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b #import libraries import numpy as np import pandas as pd import matplotlib.pyplot as plt #create dataframe df = pd.DataFrame({&#8216;Age&#8217;: [&#8216;0-9&#8242;,&#8217;10-19&#8242;,&#8217;20-29&#8242;,&#8217;30-39&#8242;,&#8217;40-49&#8242;,&#8217;50-59&#8242;,&#8217;60 -69&#8242;,&#8217;70-79&#8242;,&#8217;80-89&#8242;,&#8217;90+&#8217;], &#8216;Male&#8217;: [9000, 14000, 22000, 26000, 34000, 32000, 29000, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python - Statology \u1010\u103d\u1004\u103a 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