{"id":180511,"date":"2024-03-20T00:10:08","date_gmt":"2024-03-19T23:10:08","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=180511"},"modified":"2024-02-27T18:45:26","modified_gmt":"2024-02-27T17:45:26","slug":"mastering-structured-tables-with-dtype-in-python","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/mastering-structured-tables-with-dtype-in-python","title":{"rendered":"Mastering Structured Tables with Dtype in Python"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"180511\" class=\"elementor elementor-180511\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ef6566a e-flex e-con-boxed e-con\" data-id=\"ef6566a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-895f621 elementor-widget elementor-widget-heading\" data-id=\"895f621\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Whether it's for an IT project, an HR or sales file, a table rarely has just one type of data. Quite often, numerical and textual data merge to provide more context. That's why Python Dtypes are so useful.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4a86a36 e-flex e-con-boxed e-con\" data-id=\"4a86a36\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c469773 elementor-widget elementor-widget-heading\" data-id=\"c469773\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What's a Dtype?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d9a3b2 elementor-widget elementor-widget-text-editor\" data-id=\"3d9a3b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<ul><li><strong>Dtypes correspond to data types in the NumPy (numerical Python) library<\/strong>. This tool, based on the C programming language, facilitates numerical calculations with Python. In particular, it facilitates the management of arrays of numbers. This is made possible by dtypes. Every array has different data types.<\/li><li><strong>The dtype describes how the values are coded,<\/strong> and how they should be interpreted. In concrete terms, they provide the following information:<\/li><li><strong>Data type:<\/strong> integer, real, text data, Python object, etc.<\/li><li><strong>Data size:<\/strong> data is coded in bits. In other words, the memory allocated to store them in memory. Depending on the amount of memory available, data can take the form of int16, uint32, complex64, etc.<\/li><li><strong>Data byte order:<\/strong> the &#8220;&lt;&#8221; sign is indicated for little endian encoding, and otherwise the &#8220;&gt;&#8221; sign for big endian encoding. These characters are specified at the beginning of the data type.<\/li><li><strong>For structured data:<\/strong> you&#8217;ll have additional information about the fields in the structure, the type of data for each field, the part of the memory block occupied by each field, etc. The idea here is to describe the structure of the data. The idea here is to describe as precisely as possible a table made up of different variables.<\/li><li><strong>For subnetworks:<\/strong> here, dtypes provide information on the form and type of data.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8bcdc6e e-flex e-con-boxed e-con\" data-id=\"8bcdc6e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f196935 elementor-widget elementor-widget-heading\" data-id=\"f196935\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are Python's dtypes?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-216de1e elementor-widget elementor-widget-text-editor\" data-id=\"216de1e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"text-align: left;\">If we&#8217;re talking about dtypes in Python, these variables actually come from the NumPy library. And on NumPy, they&#8217;re even more varied.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-344c90c elementor-widget elementor-widget-heading\" data-id=\"344c90c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">On Python<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ffa3b2 elementor-widget elementor-widget-text-editor\" data-id=\"1ffa3b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The <a href=\"https:\/\/datascientest.com\/en\/python-programming-for-dummies-episode-1\">Python programming language offers these data types:<\/a><\/p><ul><li><strong>String:<\/strong> used to represent textual data. Here, the text is enclosed in inverted commas. For example, &#8220;Python&#8217;s dtypes&#8221;.<\/li><li><strong>Integer<\/strong>: this dtype represents integer numbers, such as -1, -2, -3.<\/li><li><strong>Float:<\/strong> similar to the previous data type, this is mainly used to represent real numbers. So not just integers, but also decimals or fractions, such as 1.2, \u2156, 5.69, etc.<\/li><li><strong>Boolean:<\/strong> this is simply data representing True or False.<\/li><li><strong>Complex:<\/strong> these are the more complex numbers, such as 1.0 + 2.3j.\u00a0<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3874442 elementor-widget elementor-widget-text-editor\" data-id=\"3874442\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>These are<strong> dtypes on Python<\/strong>. But on <a href=\"https:\/\/datascientest.com\/en\/numpy-the-python-library-in-data-science\">NumPy<\/a>, there is a wider variety of data types.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9d22577 elementor-widget elementor-widget-heading\" data-id=\"9d22577\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">With the NumPy library<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a94fd3 elementor-widget elementor-widget-text-editor\" data-id=\"3a94fd3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In NumPy, the dtype indicates the type of data and its size. Here is a table summarising the different possible combinations:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f05e06a elementor-widget elementor-widget-html\" data-id=\"f05e06a\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-gfw1{background-color:#c0c0c0;font-family:\"Trebuchet MS\", Helvetica, sans-serif !important;font-size:16px;font-weight:bold;\r\n  text-align:center;vertical-align:top}\r\n.tg .tg-o6e8{background-color:#c0c0c0;font-family:\"Trebuchet MS\", Helvetica, sans-serif !important;font-size:16px;text-align:center;\r\n  vertical-align:top}\r\n.tg .tg-znjt{background-color:#ffffff;font-family:\"Trebuchet MS\", Helvetica, sans-serif !important;font-size:16px;text-align:center;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 500px\">\r\n<colgroup>\r\n<col style=\"width: 150px\">\r\n<col style=\"width: 350px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-gfw1\">Data Type<\/th>\r\n    <th class=\"tg-gfw1\">Description<\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-o6e8\">Bool_<\/td>\r\n    <td class=\"tg-znjt\">These are the true or false data<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\">byte<\/td>\r\n    <td class=\"tg-znjt\">Signed integer (positive or negative value)<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\">ubyte<\/td>\r\n    <td class=\"tg-znjt\">Unsigned integer (i.e., only positive values)<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\">int8<\/td>\r\n    <td class=\"tg-znjt\">Signed 8-bit integer.<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\">int16<\/td>\r\n    <td class=\"tg-znjt\">Signed 16-bit integer.<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">int32<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Signed 32-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">int64<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Signed 64-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">uint8<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Unsigned 8-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">uint16<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Unsigned 16-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">uint32<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Unsigned 32-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">uint64<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Unsigned 64-bit integer.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">float16<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">16-bit floating point number.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">float32<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">32-bit floating point number.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">float64<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">64-bit floating point number.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">complex64<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">64-bit complex number.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-o6e8\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">complex128<\/span><\/td>\r\n    <td class=\"tg-znjt\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">128-bit complex number.<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0dcf2f8 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"0dcf2f8\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to use Dtype Python<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d9cc9d1 e-flex e-con-boxed e-con\" data-id=\"d9cc9d1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c8f5c50 elementor-widget elementor-widget-heading\" data-id=\"c8f5c50\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are dtypes used for in Python?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a8b0b4 elementor-widget elementor-widget-text-editor\" data-id=\"9a8b0b4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Python&#8217;s dtypes<\/strong> allow you to create structured arrays (or arrays of records). Within these structured tables, you can insert different types of data per column. For example, numerical data, textual data, complex formulas, etc. These are very similar to <strong>traditional Excel or CSV files.<\/strong><\/p><p>They can be used by different departments within the organisation, such as human resources to compile data on all the company&#8217;s employees, logistics to have visibility of suppliers and their prices, etc.<\/p><p>Without <strong>dtype Python<\/strong>, it is not possible to create structured tables. Only ndarrays containing homogeneous data objects.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-88b9990 e-flex e-con-boxed e-con\" data-id=\"88b9990\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f0350eb elementor-widget elementor-widget-heading\" data-id=\"f0350eb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I create a table with dtype?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b4306e elementor-widget elementor-widget-text-editor\" data-id=\"8b4306e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Here are some basic examples of creating arrays with dtype on Python.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e2ec3e elementor-widget elementor-widget-heading\" data-id=\"8e2ec3e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">A table with a single data type<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9924b13 elementor-widget elementor-widget-text-editor\" data-id=\"9924b13\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">There are two options for doing this. <\/span><\/p><p><span style=\"font-weight: 400;\">1 \/ Either define the data type using a string. <\/span><\/p><p><span style=\"font-weight: 400;\">Here&#8217;s the code:<\/span><\/p><p style=\"padding-left: 40px;\"><strong><mark>import numpy as np<\/mark><\/strong><\/p><p style=\"padding-left: 40px;\"><strong><mark>a1 = np.array( [1,2,3], dtype = &#8216;int64&#8217;)<\/mark><\/strong><\/p><p style=\"padding-left: 40px;\"><strong><mark>print( a1)<\/mark><\/strong><\/p><p><span style=\"font-weight: 400;\">2 \/ Either define the data type by referencing the NumPy library. <\/span><\/p><p><span style=\"font-weight: 400;\">Here&#8217;s the code:<\/span><\/p><p style=\"padding-left: 40px;\"><strong><mark>a2 = np.array( [1,2,3], dtype = np.int64)<\/mark><\/strong><\/p><p style=\"padding-left: 40px;\"><strong><mark>print(a2)<\/mark><\/strong><\/p><p><span style=\"font-weight: 400;\">In these examples we have used data representing integers, but it is of course possible to use any other dtype desired. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d625738 elementor-widget elementor-widget-heading\" data-id=\"d625738\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">A table with several types of data<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2aaaf4c elementor-widget elementor-widget-text-editor\" data-id=\"2aaaf4c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>It is possible to create a structured table with several columns, each with a distinct type of data. To help you understand better, here is an example with 3 columns:<\/p><ul><li>A &#8220;name&#8221; field with text data (string)<\/li><li>An &#8220;age&#8221; field with integers<\/li><li>A &#8220;salary&#8221; field with decimals (float)<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22207db elementor-widget elementor-widget-text-editor\" data-id=\"22207db\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Here is the code:\u00a0<\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><mark><strong>employee = np.dtype([(&#8216;name&#8217;,&#8217;S&#8217;), (&#8216;age&#8217;, &#8216;i&#8217;), (&#8216;salary&#8217;, &#8216;f&#8217;)])<\/strong><\/mark><\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><mark><strong>a = np.array([(&#8216;vincent dupont&#8217;, 32, 2368.45), (&#8217;emilie martin&#8217;, 26, 2689.23)],<\/strong><\/mark><\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><mark><strong>dtype = employed)<\/strong><\/mark><\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><mark><strong>print(a)<\/strong><\/mark><\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><mark><strong>print(a.dtype)<\/strong><\/mark><\/span><\/p><p><span style=\"font-weight: 400;\">These are just some simplified examples of dtype on Python. If you want to go further, it&#8217;s better to learn.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9ab9299 e-flex e-con-boxed e-con\" data-id=\"9ab9299\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-98ee663 elementor-widget elementor-widget-heading\" data-id=\"98ee663\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Join DataScientest to master dtypes on Python<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f2ee62 elementor-widget elementor-widget-text-editor\" data-id=\"9f2ee62\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Mastering <strong>Dtype on Python<\/strong> requires in-depth knowledge and practice. That&#8217;s why Datascientest offers training in data analysis and data science. Here you will learn everything you need to know about programming languages.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb5bf79 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"cb5bf79\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learning Python for Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b007c81 e-flex e-con-boxed e-con\" data-id=\"b007c81\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d6145b3 elementor-widget elementor-widget-html\" data-id=\"d6145b3\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is a Dtype?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Dtypes correspond to the data types in the NumPy (numerical Python) library. 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