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<p id="t1" class="run"><span class="n"><a href="#t1">1</a></span><span class="t"><span class="key">import</span> <span class="nam">sciris</span> <span class="key">as</span> <span class="nam">sc</span> </span><span class="r"></span></p>
<p id="t2" class="run"><span class="n"><a href="#t2">2</a></span><span class="t"><span class="key">import</span> <span class="nam">numpy</span> <span class="key">as</span> <span class="nam">np</span> </span><span class="r"></span></p>
<p id="t3" class="run"><span class="n"><a href="#t3">3</a></span><span class="t"><span class="key">import</span> <span class="nam">networkx</span> <span class="key">as</span> <span class="nam">nx</span> </span><span class="r"></span></p>
<p id="t4" class="run"><span class="n"><a href="#t4">4</a></span><span class="t"><span class="key">import</span> <span class="nam">pandas</span> <span class="key">as</span> <span class="nam">pd</span> </span><span class="r"></span></p>
<p id="t5" class="run"><span class="n"><a href="#t5">5</a></span><span class="t"><span class="key">from</span> <span class="nam">collections</span> <span class="key">import</span> <span class="nam">Counter</span> </span><span class="r"></span></p>
<p id="t6" class="run"><span class="n"><a href="#t6">6</a></span><span class="t"><span class="key">import</span> <span class="nam">os</span> </span><span class="r"></span></p>
<p id="t7" class="run"><span class="n"><a href="#t7">7</a></span><span class="t"><span class="key">from</span> <span class="op">.</span><span class="nam">base</span> <span class="key">import</span> <span class="op">*</span> </span><span class="r"></span></p>
<p id="t8" class="run"><span class="n"><a href="#t8">8</a></span><span class="t"><span class="key">from</span> <span class="op">.</span> <span class="key">import</span> <span class="nam">data_distributions</span> <span class="key">as</span> <span class="nam">spdata</span> </span><span class="r"></span></p>
<p id="t9" class="run"><span class="n"><a href="#t9">9</a></span><span class="t"><span class="key">from</span> <span class="op">.</span> <span class="key">import</span> <span class="nam">sampling</span> <span class="key">as</span> <span class="nam">spsamp</span> </span><span class="r"></span></p>
<p id="t10" class="run"><span class="n"><a href="#t10">10</a></span><span class="t"><span class="key">from</span> <span class="op">.</span> <span class="key">import</span> <span class="nam">contacts</span> <span class="key">as</span> <span class="nam">spct</span> </span><span class="r"></span></p>
<p id="t11" class="run"><span class="n"><a href="#t11">11</a></span><span class="t"><span class="key">from</span> <span class="op">.</span> <span class="key">import</span> <span class="nam">contact_networks</span> <span class="key">as</span> <span class="nam">spcnx</span> </span><span class="r"></span></p>
<p id="t12" class="run"><span class="n"><a href="#t12">12</a></span><span class="t"><span class="key">from</span> <span class="op">.</span><span class="nam">config</span> <span class="key">import</span> <span class="nam">datadir</span> </span><span class="r"></span></p>
<p id="t13" class="pln"><span class="n"><a href="#t13">13</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t14" class="run"><span class="n"><a href="#t14">14</a></span><span class="t"><span class="key">from</span> <span class="nam">copy</span> <span class="key">import</span> <span class="nam">deepcopy</span> </span><span class="r"></span></p>
<p id="t15" class="run"><span class="n"><a href="#t15">15</a></span><span class="t"><span class="key">import</span> <span class="nam">matplotlib</span> <span class="key">as</span> <span class="nam">mplt</span> </span><span class="r"></span></p>
<p id="t16" class="run"><span class="n"><a href="#t16">16</a></span><span class="t"><span class="key">import</span> <span class="nam">matplotlib</span><span class="op">.</span><span class="nam">pyplot</span> <span class="key">as</span> <span class="nam">plt</span> </span><span class="r"></span></p>
<p id="t17" class="run"><span class="n"><a href="#t17">17</a></span><span class="t"><span class="key">import</span> <span class="nam">cmocean</span> </span><span class="r"></span></p>
<p id="t18" class="pln"><span class="n"><a href="#t18">18</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t19" class="pln"><span class="n"><a href="#t19">19</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t20" class="run"><span class="n"><a href="#t20">20</a></span><span class="t"><span class="key">def</span> <span class="nam">get_establishments_by_industries_df</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="nam">locations</span><span class="op">,</span> <span class="nam">state_location</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">,</span> <span class="nam">level</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t21" class="pln"><span class="n"><a href="#t21">21</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t22" class="pln"><span class="n"><a href="#t22">22</a></span><span class="t"><span class="str"> Filter pandas dataframe on establishment sizes by industry for the locations of interest.</span> </span><span class="r"></span></p>
<p id="t23" class="pln"><span class="n"><a href="#t23">23</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t24" class="pln"><span class="n"><a href="#t24">24</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t25" class="pln"><span class="n"><a href="#t25">25</a></span><span class="t"><span class="str"> datadir (string) : file path to the data directory</span> </span><span class="r"></span></p>
<p id="t26" class="pln"><span class="n"><a href="#t26">26</a></span><span class="t"><span class="str"> location (string) : name of the location</span> </span><span class="r"></span></p>
<p id="t27" class="pln"><span class="n"><a href="#t27">27</a></span><span class="t"><span class="str"> state_location (string) : name of the state the location is in</span> </span><span class="r"></span></p>
<p id="t28" class="pln"><span class="n"><a href="#t28">28</a></span><span class="t"><span class="str"> country_location (string) : name of the country the location is in</span> </span><span class="r"></span></p>
<p id="t29" class="pln"><span class="n"><a href="#t29">29</a></span><span class="t"><span class="str"> level (string) : scale of region at which data is available</span> </span><span class="r"></span></p>
<p id="t30" class="pln"><span class="n"><a href="#t30">30</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t31" class="pln"><span class="n"><a href="#t31">31</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t32" class="pln"><span class="n"><a href="#t32">32</a></span><span class="t"><span class="str"> A pandas dataframe with necessary columns to calculate establishment sizes by industry for the specified locations of interest.</span> </span><span class="r"></span></p>
<p id="t33" class="pln"><span class="n"><a href="#t33">33</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t34" class="mis show_mis"><span class="n"><a href="#t34">34</a></span><span class="t"> <span class="nam">file_path</span> <span class="op">=</span> <span class="nam">os</span><span class="op">.</span><span class="nam">path</span><span class="op">.</span><span class="nam">join</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="str">'demographics'</span><span class="op">,</span> <span class="str">'contact_matrices_152_countries'</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">,</span> <span class="nam">state_location</span><span class="op">,</span> <span class="str">'workplaces'</span><span class="op">,</span> <span class="str">'workplaces_by_'</span> <span class="op">+</span> <span class="nam">level</span> <span class="op">+</span> <span class="str">'_2015.csv'</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t35" class="mis show_mis"><span class="n"><a href="#t35">35</a></span><span class="t"> <span class="nam">df</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">file_path</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t36" class="mis show_mis"><span class="n"><a href="#t36">36</a></span><span class="t"> <span class="nam">df</span> <span class="op">=</span> <span class="nam">df</span><span class="op">[</span><span class="nam">df</span><span class="op">[</span><span class="str">'County'</span><span class="op">]</span><span class="op">.</span><span class="nam">isin</span><span class="op">(</span><span class="nam">locations</span><span class="op">)</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t37" class="mis show_mis"><span class="n"><a href="#t37">37</a></span><span class="t"> <span class="nam">cols</span> <span class="op">=</span> <span class="op">[</span><span class="str">'County'</span><span class="op">,</span> <span class="str">'NAICS Code'</span><span class="op">,</span> <span class="str">'NAICS Industry'</span><span class="op">,</span> <span class="str">'Enterprise Size'</span><span class="op">,</span> <span class="str">'Establishments'</span><span class="op">,</span> <span class="str">'Firms'</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t38" class="mis show_mis"><span class="n"><a href="#t38">38</a></span><span class="t"> <span class="nam">df</span> <span class="op">=</span> <span class="nam">df</span><span class="op">[</span><span class="nam">cols</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t39" class="mis show_mis"><span class="n"><a href="#t39">39</a></span><span class="t"> <span class="key">return</span> <span class="nam">df</span> </span><span class="r"></span></p>
<p id="t40" class="pln"><span class="n"><a href="#t40">40</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t41" class="pln"><span class="n"><a href="#t41">41</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t42" class="run"><span class="n"><a href="#t42">42</a></span><span class="t"><span class="key">def</span> <span class="nam">get_industry_type_df</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t43" class="pln"><span class="n"><a href="#t43">43</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t44" class="pln"><span class="n"><a href="#t44">44</a></span><span class="t"><span class="str"> Get 2017 NAICS US Codes and Titles</span> </span><span class="r"></span></p>
<p id="t45" class="pln"><span class="n"><a href="#t45">45</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t46" class="pln"><span class="n"><a href="#t46">46</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t47" class="pln"><span class="n"><a href="#t47">47</a></span><span class="t"><span class="str"> datadir (string) : file path to the data directory</span> </span><span class="r"></span></p>
<p id="t48" class="pln"><span class="n"><a href="#t48">48</a></span><span class="t"><span class="str"> country_location (string) : name of the country</span> </span><span class="r"></span></p>
<p id="t49" class="pln"><span class="n"><a href="#t49">49</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t50" class="pln"><span class="n"><a href="#t50">50</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t51" class="pln"><span class="n"><a href="#t51">51</a></span><span class="t"><span class="str"> A pandas dataframe with 2017 NAICS US Code and Title.</span> </span><span class="r"></span></p>
<p id="t52" class="pln"><span class="n"><a href="#t52">52</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t53" class="mis show_mis"><span class="n"><a href="#t53">53</a></span><span class="t"> <span class="nam">file_path</span> <span class="op">=</span> <span class="nam">os</span><span class="op">.</span><span class="nam">path</span><span class="op">.</span><span class="nam">join</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="str">'demographics'</span><span class="op">,</span> <span class="str">'contact_matrices_152_countries'</span><span class="op">,</span> <span class="str">'usa'</span><span class="op">,</span> <span class="str">'2-6 digit_2017_Codes.xlsx'</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t54" class="mis show_mis"><span class="n"><a href="#t54">54</a></span><span class="t"> <span class="nam">df</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_excel</span><span class="op">(</span><span class="nam">file_path</span><span class="op">,</span> <span class="nam">skiprows</span><span class="op">=</span><span class="num">0</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t55" class="mis show_mis"><span class="n"><a href="#t55">55</a></span><span class="t"> <span class="key">return</span> <span class="nam">df</span> </span><span class="r"></span></p>
<p id="t56" class="pln"><span class="n"><a href="#t56">56</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t57" class="pln"><span class="n"><a href="#t57">57</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t58" class="run"><span class="n"><a href="#t58">58</a></span><span class="t"><span class="key">def</span> <span class="nam">get_simplified_industry_type_df</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t59" class="pln"><span class="n"><a href="#t59">59</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t60" class="pln"><span class="n"><a href="#t60">60</a></span><span class="t"><span class="str"> Get simplified 2017 NAICS US Codes.</span> </span><span class="r"></span></p>
<p id="t61" class="pln"><span class="n"><a href="#t61">61</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t62" class="pln"><span class="n"><a href="#t62">62</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t63" class="pln"><span class="n"><a href="#t63">63</a></span><span class="t"><span class="str"> datadir (string) : file path to the data directory</span> </span><span class="r"></span></p>
<p id="t64" class="pln"><span class="n"><a href="#t64">64</a></span><span class="t"><span class="str"> country_location (string) : name of the country</span> </span><span class="r"></span></p>
<p id="t65" class="pln"><span class="n"><a href="#t65">65</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t66" class="pln"><span class="n"><a href="#t66">66</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t67" class="pln"><span class="n"><a href="#t67">67</a></span><span class="t"><span class="str"> A pandas dataframe with 2 digit 2017 NAICS US Codes mapping to main industry types</span> </span><span class="r"></span></p>
<p id="t68" class="pln"><span class="n"><a href="#t68">68</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t69" class="mis show_mis"><span class="n"><a href="#t69">69</a></span><span class="t"> <span class="nam">file_path</span> <span class="op">=</span> <span class="nam">os</span><span class="op">.</span><span class="nam">path</span><span class="op">.</span><span class="nam">join</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="str">'demographics'</span><span class="op">,</span> <span class="str">'contact_matrices_152_countries'</span><span class="op">,</span> <span class="str">'usa'</span><span class="op">,</span> <span class="str">'2-6 digit_2017_Codes_simplified.dat'</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t70" class="mis show_mis"><span class="n"><a href="#t70">70</a></span><span class="t"> <span class="key">return</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">file_path</span><span class="op">,</span> <span class="nam">delimiter</span><span class="op">=</span><span class="str">';'</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t71" class="pln"><span class="n"><a href="#t71">71</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t72" class="pln"><span class="n"><a href="#t72">72</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t73" class="run"><span class="n"><a href="#t73">73</a></span><span class="t"><span class="key">def</span> <span class="nam">get_industry_code</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_title</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t74" class="pln"><span class="n"><a href="#t74">74</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t75" class="pln"><span class="n"><a href="#t75">75</a></span><span class="t"><span class="str"> Get 2017 NAICS Code based on industry title.</span> </span><span class="r"></span></p>
<p id="t76" class="pln"><span class="n"><a href="#t76">76</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t77" class="pln"><span class="n"><a href="#t77">77</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t78" class="pln"><span class="n"><a href="#t78">78</a></span><span class="t"><span class="str"> industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t79" class="pln"><span class="n"><a href="#t79">79</a></span><span class="t"><span class="str"> industry_title (string): 2017 NAICS US Title</span> </span><span class="r"></span></p>
<p id="t80" class="pln"><span class="n"><a href="#t80">80</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t81" class="pln"><span class="n"><a href="#t81">81</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t82" class="pln"><span class="n"><a href="#t82">82</a></span><span class="t"><span class="str"> 2017 NAICS US Code as an integer</span> </span><span class="r"></span></p>
<p id="t83" class="pln"><span class="n"><a href="#t83">83</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t84" class="mis show_mis"><span class="n"><a href="#t84">84</a></span><span class="t"> <span class="key">return</span> <span class="nam">industry_type_df</span><span class="op">[</span><span class="nam">industry_type_df</span><span class="op">[</span><span class="str">'2017 NAICS US Title'</span><span class="op">]</span> <span class="op">==</span> <span class="nam">industry_title</span><span class="op">]</span><span class="op">[</span><span class="str">'2017 NAICS US Code'</span><span class="op">]</span><span class="op">.</span><span class="nam">values</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">astype</span><span class="op">(</span><span class="nam">int</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t85" class="pln"><span class="n"><a href="#t85">85</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t86" class="pln"><span class="n"><a href="#t86">86</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t87" class="run"><span class="n"><a href="#t87">87</a></span><span class="t"><span class="key">def</span> <span class="nam">get_main_industry_code</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_title</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t88" class="pln"><span class="n"><a href="#t88">88</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t89" class="pln"><span class="n"><a href="#t89">89</a></span><span class="t"><span class="str"> Get 2 digit 2017 NAICS US Code based on industry title.</span> </span><span class="r"></span></p>
<p id="t90" class="pln"><span class="n"><a href="#t90">90</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t91" class="pln"><span class="n"><a href="#t91">91</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t92" class="pln"><span class="n"><a href="#t92">92</a></span><span class="t"><span class="str"> industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t93" class="pln"><span class="n"><a href="#t93">93</a></span><span class="t"><span class="str"> industry_title (string): 2017 NAICS US Title</span> </span><span class="r"></span></p>
<p id="t94" class="pln"><span class="n"><a href="#t94">94</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t95" class="pln"><span class="n"><a href="#t95">95</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t96" class="pln"><span class="n"><a href="#t96">96</a></span><span class="t"><span class="str"> 2 digit 2017 NAICS US Code as an integer.</span> </span><span class="r"></span></p>
<p id="t97" class="pln"><span class="n"><a href="#t97">97</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t98" class="mis show_mis"><span class="n"><a href="#t98">98</a></span><span class="t"> <span class="nam">code</span> <span class="op">=</span> <span class="nam">str</span><span class="op">(</span><span class="nam">get_industry_code</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_title</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t99" class="mis show_mis"><span class="n"><a href="#t99">99</a></span><span class="t"> <span class="nam">code</span> <span class="op">=</span> <span class="nam">code</span><span class="op">[</span><span class="num">0</span><span class="op">:</span><span class="num">2</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t100" class="mis show_mis"><span class="n"><a href="#t100">100</a></span><span class="t"> <span class="nam">code</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">code</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t101" class="mis show_mis"><span class="n"><a href="#t101">101</a></span><span class="t"> <span class="key">return</span> <span class="nam">code</span> </span><span class="r"></span></p>
<p id="t102" class="pln"><span class="n"><a href="#t102">102</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t103" class="pln"><span class="n"><a href="#t103">103</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t104" class="run"><span class="n"><a href="#t104">104</a></span><span class="t"><span class="key">def</span> <span class="nam">get_industry_title</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_code</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t105" class="pln"><span class="n"><a href="#t105">105</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t106" class="pln"><span class="n"><a href="#t106">106</a></span><span class="t"><span class="str"> Get 2017 NAICS US Title based on full industry code.</span> </span><span class="r"></span></p>
<p id="t107" class="pln"><span class="n"><a href="#t107">107</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t108" class="pln"><span class="n"><a href="#t108">108</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t109" class="pln"><span class="n"><a href="#t109">109</a></span><span class="t"><span class="str"> industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t110" class="pln"><span class="n"><a href="#t110">110</a></span><span class="t"><span class="str"> industry_code (int): 2017 NAICS US Code</span> </span><span class="r"></span></p>
<p id="t111" class="pln"><span class="n"><a href="#t111">111</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t112" class="pln"><span class="n"><a href="#t112">112</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t113" class="pln"><span class="n"><a href="#t113">113</a></span><span class="t"><span class="str"> 2017 NAICS US Title</span> </span><span class="r"></span></p>
<p id="t114" class="pln"><span class="n"><a href="#t114">114</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t115" class="mis show_mis"><span class="n"><a href="#t115">115</a></span><span class="t"> <span class="key">return</span> <span class="nam">industry_type_df</span><span class="op">[</span><span class="nam">industry_type_df</span><span class="op">[</span><span class="str">'2017 NAICS US Code'</span><span class="op">]</span> <span class="op">==</span> <span class="nam">industry_code</span><span class="op">]</span><span class="op">[</span><span class="str">'2017 NAICS US Title'</span><span class="op">]</span><span class="op">.</span><span class="nam">values</span><span class="op">[</span><span class="num">0</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t116" class="pln"><span class="n"><a href="#t116">116</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t117" class="pln"><span class="n"><a href="#t117">117</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t118" class="run"><span class="n"><a href="#t118">118</a></span><span class="t"><span class="key">def</span> <span class="nam">get_main_industry_title</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_code</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t119" class="pln"><span class="n"><a href="#t119">119</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t120" class="pln"><span class="n"><a href="#t120">120</a></span><span class="t"><span class="str"> Get main 2017 NAICS US Title based on 2 digit industry code.</span> </span><span class="r"></span></p>
<p id="t121" class="pln"><span class="n"><a href="#t121">121</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t122" class="pln"><span class="n"><a href="#t122">122</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t123" class="pln"><span class="n"><a href="#t123">123</a></span><span class="t"><span class="str"> industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t124" class="pln"><span class="n"><a href="#t124">124</a></span><span class="t"><span class="str"> industry_code (int): 2 digit 2017 NAICS US Code</span> </span><span class="r"></span></p>
<p id="t125" class="pln"><span class="n"><a href="#t125">125</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t126" class="pln"><span class="n"><a href="#t126">126</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t127" class="pln"><span class="n"><a href="#t127">127</a></span><span class="t"><span class="str"> 2017 NAICS US Title</span> </span><span class="r"></span></p>
<p id="t128" class="pln"><span class="n"><a href="#t128">128</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t129" class="mis show_mis"><span class="n"><a href="#t129">129</a></span><span class="t"> <span class="nam">industry_code</span> <span class="op">=</span> <span class="nam">str</span><span class="op">(</span><span class="nam">industry_code</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t130" class="mis show_mis"><span class="n"><a href="#t130">130</a></span><span class="t"> <span class="nam">industry_code</span> <span class="op">=</span> <span class="nam">industry_code</span><span class="op">[</span><span class="num">0</span><span class="op">:</span><span class="num">2</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t131" class="mis show_mis"><span class="n"><a href="#t131">131</a></span><span class="t"> <span class="nam">industry_code</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">industry_code</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t132" class="mis show_mis"><span class="n"><a href="#t132">132</a></span><span class="t"> <span class="nam">industry_title</span> <span class="op">=</span> <span class="nam">get_industry_code</span><span class="op">(</span><span class="nam">industry_type_df</span><span class="op">,</span> <span class="nam">industry_code</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t133" class="mis show_mis"><span class="n"><a href="#t133">133</a></span><span class="t"> <span class="key">return</span> <span class="nam">industry_title</span> </span><span class="r"></span></p>
<p id="t134" class="pln"><span class="n"><a href="#t134">134</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t135" class="pln"><span class="n"><a href="#t135">135</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t136" class="run"><span class="n"><a href="#t136">136</a></span><span class="t"><span class="key">def</span> <span class="nam">get_simplified_industry_title</span><span class="op">(</span><span class="nam">simplified_industry_type_df</span><span class="op">,</span> <span class="nam">industry_code</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t137" class="pln"><span class="n"><a href="#t137">137</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t138" class="pln"><span class="n"><a href="#t138">138</a></span><span class="t"><span class="str"> Get simplified 2017 NAICS US Title from 2 digit 2017 NAICS Code</span> </span><span class="r"></span></p>
<p id="t139" class="pln"><span class="n"><a href="#t139">139</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t140" class="pln"><span class="n"><a href="#t140">140</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t141" class="pln"><span class="n"><a href="#t141">141</a></span><span class="t"><span class="str"> simplified_industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t142" class="pln"><span class="n"><a href="#t142">142</a></span><span class="t"><span class="str"> industry_code (int): 2 digit 2017 NAICS US Code</span> </span><span class="r"></span></p>
<p id="t143" class="pln"><span class="n"><a href="#t143">143</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t144" class="pln"><span class="n"><a href="#t144">144</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t145" class="pln"><span class="n"><a href="#t145">145</a></span><span class="t"><span class="str"> 2017 NAICS US Title for 2 digit code</span> </span><span class="r"></span></p>
<p id="t146" class="pln"><span class="n"><a href="#t146">146</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t147" class="mis show_mis"><span class="n"><a href="#t147">147</a></span><span class="t"> <span class="key">return</span> <span class="nam">simplified_industry_type_df</span><span class="op">[</span><span class="nam">simplified_industry_type_df</span><span class="op">[</span><span class="str">'2017 NAICS US Code'</span><span class="op">]</span> <span class="op">==</span> <span class="nam">industry_code</span><span class="op">]</span><span class="op">[</span><span class="str">'2017 NAICS US Title'</span><span class="op">]</span><span class="op">.</span><span class="nam">values</span><span class="op">[</span><span class="num">0</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t148" class="pln"><span class="n"><a href="#t148">148</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t149" class="pln"><span class="n"><a href="#t149">149</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t150" class="run"><span class="n"><a href="#t150">150</a></span><span class="t"><span class="key">def</span> <span class="nam">get_simplified_industry_code</span><span class="op">(</span><span class="nam">simplified_industry_type_df</span><span class="op">,</span> <span class="nam">industry_title</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t151" class="pln"><span class="n"><a href="#t151">151</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t152" class="pln"><span class="n"><a href="#t152">152</a></span><span class="t"><span class="str"> Get simplified 2017 NAICS US Code from full title</span> </span><span class="r"></span></p>
<p id="t153" class="pln"><span class="n"><a href="#t153">153</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t154" class="pln"><span class="n"><a href="#t154">154</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t155" class="pln"><span class="n"><a href="#t155">155</a></span><span class="t"><span class="str"> simplified_industry_type_df (dataframe): pandas dataframe</span> </span><span class="r"></span></p>
<p id="t156" class="pln"><span class="n"><a href="#t156">156</a></span><span class="t"><span class="str"> industry_title (string): full 2017 NAICS US Title</span> </span><span class="r"></span></p>
<p id="t157" class="pln"><span class="n"><a href="#t157">157</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t158" class="pln"><span class="n"><a href="#t158">158</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t159" class="pln"><span class="n"><a href="#t159">159</a></span><span class="t"><span class="str"> 2 digit 2017 NAICS US Code</span> </span><span class="r"></span></p>
<p id="t160" class="pln"><span class="n"><a href="#t160">160</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t161" class="mis show_mis"><span class="n"><a href="#t161">161</a></span><span class="t"> <span class="key">return</span> <span class="nam">simplified_industry_type_df</span><span class="op">[</span><span class="nam">simplified_industry_type_df</span><span class="op">[</span><span class="str">'2017 NAICS US Title'</span><span class="op">]</span> <span class="op">==</span> <span class="nam">industry_type</span><span class="op">]</span><span class="op">[</span><span class="str">'2017 NAICS US Code'</span><span class="op">]</span><span class="op">.</span><span class="nam">values</span><span class="op">[</span><span class="num">0</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t162" class="pln"><span class="n"><a href="#t162">162</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t163" class="pln"><span class="n"><a href="#t163">163</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t164" class="run"><span class="n"><a href="#t164">164</a></span><span class="t"><span class="key">def</span> <span class="nam">get_establishment_size_brackets_df</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="nam">locations</span><span class="op">,</span> <span class="nam">state_location</span><span class="op">=</span><span class="str">'Washington'</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">=</span><span class="str">'usa'</span><span class="op">,</span> <span class="nam">level</span><span class="op">=</span><span class="str">'county'</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t165" class="pln"><span class="n"><a href="#t165">165</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t166" class="pln"><span class="n"><a href="#t166">166</a></span><span class="t"><span class="str"> Get size brackets dataframe from BLS 2017 Data.</span> </span><span class="r"></span></p>
<p id="t167" class="pln"><span class="n"><a href="#t167">167</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t168" class="pln"><span class="n"><a href="#t168">168</a></span><span class="t"><span class="str"> Args:</span> </span><span class="r"></span></p>
<p id="t169" class="pln"><span class="n"><a href="#t169">169</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t170" class="pln"><span class="n"><a href="#t170">170</a></span><span class="t"><span class="str"> Returns:</span> </span><span class="r"></span></p>
<p id="t171" class="pln"><span class="n"><a href="#t171">171</a></span><span class="t"><span class="str"> Dataframe of size brackets for establishments in the United States.</span> </span><span class="r"></span></p>
<p id="t172" class="pln"><span class="n"><a href="#t172">172</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t173" class="mis show_mis"><span class="n"><a href="#t173">173</a></span><span class="t"> <span class="nam">df</span> <span class="op">=</span> <span class="nam">get_establishments_by_industries_df</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span> <span class="nam">locations</span><span class="op">,</span> <span class="nam">state_location</span><span class="op">,</span> <span class="nam">country_location</span><span class="op">,</span> <span class="nam">level</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t174" class="mis show_mis"><span class="n"><a href="#t174">174</a></span><span class="t"> <span class="nam">d</span> <span class="op">=</span> <span class="nam">df</span><span class="op">[</span><span class="nam">df</span><span class="op">[</span><span class="str">'NAICS Industry'</span><span class="op">]</span> <span class="op">==</span> <span class="str">'Total'</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t175" class="pln"><span class="n"><a href="#t175">175</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t176" class="mis show_mis"><span class="n"><a href="#t176">176</a></span><span class="t"> <span class="nam">size_labels</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">df</span><span class="op">[</span><span class="str">'Enterprise Size'</span><span class="op">]</span><span class="op">.</span><span class="nam">values</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t177" class="mis show_mis"><span class="n"><a href="#t177">177</a></span><span class="t"> <span class="nam">index_to_size_labels_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t178" class="mis show_mis"><span class="n"><a href="#t178">178</a></span><span class="t"> <span class="nam">index_to_size_brackets_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t179" class="mis show_mis"><span class="n"><a href="#t179">179</a></span><span class="t"> <span class="nam">index_to_size_bracket_start_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t180" class="mis show_mis"><span class="n"><a href="#t180">180</a></span><span class="t"> <span class="nam">index_to_size_bracket_end_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t181" class="mis show_mis"><span class="n"><a href="#t181">181</a></span><span class="t"> <span class="nam">index_to_size_bracket_range_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t182" class="mis show_mis"><span class="n"><a href="#t182">182</a></span><span class="t"> <span class="nam">size_label_to_bracket_dic</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span> </span><span class="r"></span></p>
<p id="t183" class="pln"><span class="n"><a href="#t183">183</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t184" class="mis show_mis"><span class="n"><a href="#t184">184</a></span><span class="t"> <span class="key">for</span> <span class="nam">ll</span> <span class="key">in</span> <span class="nam">size_labels</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t185" class="mis show_mis"><span class="n"><a href="#t185">185</a></span><span class="t"> <span class="nam">l</span> <span class="op">=</span> <span class="nam">ll</span><span class="op">.</span><span class="nam">split</span><span class="op">(</span><span class="str">': '</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t186" class="mis show_mis"><span class="n"><a href="#t186">186</a></span><span class="t"> <span class="nam">index</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">l</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t187" class="pln"><span class="n"><a href="#t187">187</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t188" class="mis show_mis"><span class="n"><a href="#t188">188</a></span><span class="t"> <span class="key">if</span> <span class="nam">l</span><span class="op">[</span><span class="num">1</span><span class="op">]</span> <span class="op">==</span> <span class="str">'Total'</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t189" class="mis show_mis"><span class="n"><a href="#t189">189</a></span><span class="t"> <span class="key">continue</span> </span><span class="r"></span></p>
<p id="t190" class="pln"><span class="n"><a href="#t190">190</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t191" class="mis show_mis"><span class="n"><a href="#t191">191</a></span><span class="t"> <span class="nam">b</span> <span class="op">=</span> <span class="nam">l</span><span class="op">[</span><span class="num">1</span><span class="op">]</span><span class="op">.</span><span class="nam">split</span><span class="op">(</span><span class="str">' '</span><span class="op">)</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">replace</span><span class="op">(</span><span class="str">','</span><span class="op">,</span> <span class="str">''</span><span class="op">)</span><span class="op">.</span><span class="nam">split</span><span class="op">(</span><span class="str">'-'</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t192" class="mis show_mis"><span class="n"><a href="#t192">192</a></span><span class="t"> <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">b</span><span class="op">)</span> <span class="op">></span> <span class="num">1</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t193" class="mis show_mis"><span class="n"><a href="#t193">193</a></span><span class="t"> <span class="nam">sb</span><span class="op">,</span> <span class="nam">eb</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">b</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">,</span> <span class="nam">int</span><span class="op">(</span><span class="nam">b</span><span class="op">[</span><span class="num">1</span><span class="op">]</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t194" class="pln"><span class="n"><a href="#t194">194</a></span><span class="t"> <span class="key">else</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t195" class="mis show_mis"><span class="n"><a href="#t195">195</a></span><span class="t"> <span class="nam">sb</span><span class="op">,</span> <span class="nam">eb</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">b</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">,</span> <span class="nam">int</span><span class="op">(</span><span class="nam">b</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t196" class="pln"><span class="n"><a href="#t196">196</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t197" class="mis show_mis"><span class="n"><a href="#t197">197</a></span><span class="t"> <span class="key">if</span> <span class="nam">sb</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t198" class="mis show_mis"><span class="n"><a href="#t198">198</a></span><span class="t"> <span class="nam">sb</span> <span class="op">=</span> <span class="num">1</span> <span class="com"># can't have workplaces of size 0...</span> </span><span class="r"></span></p>
<p id="t199" class="pln"><span class="n"><a href="#t199">199</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t200" class="mis show_mis"><span class="n"><a href="#t200">200</a></span><span class="t"> <span class="nam">index_to_size_labels_dic</span><span class="op">[</span><span class="nam">index</span><span class="op">]</span> <span class="op">=</span> <span class="nam">ll</span> </span><span class="r"></span></p>
<p id="t201" class="mis show_mis"><span class="n"><a href="#t201">201</a></span><span class="t"> <span class="nam">index_to_size_brackets_dic</span><span class="op">[</span><span class="nam">index</span><span class="op">]</span> <span class="op">=</span> <span class="op">[</span><span class="nam">sb</span><span class="op">,</span> <span class="nam">eb</span><span class="op">]</span> </span><span class="r"></span></p>
<p id="t202" class="mis show_mis"><span class="n"><a href="#t202">202</a></span><span class="t"> <span class="nam">index_to_size_bracket_start_dic</span><span class="op">[</span><span class="nam">index</span><span class="op">]</span> <span class="op">=</span> <span class="nam">sb</span> </span><span class="r"></span></p>
<p id="t203" class="mis show_mis"><span class="n"><a href="#t203">203</a></span><span class="t"> <span class="nam">index_to_size_bracket_end_dic</span><span class="op">[</span><span class="nam">index</span><span class="op">]</span> <span class="op">=</span> <span class="nam">eb</span> </span><span class="r"></span></p>
<p id="t204" class="mis show_mis"><span class="n"><a href="#t204">204</a></span><span class="t"> <span class="nam">index_to_size_bracket_range_dic</span><span class="op">[</span><span class="nam">index</span><span class="op">]</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">arange</span><span class="op">(</span><span class="nam">sb</span><span class="op">,</span> <span class="nam">eb</span><span class="op">+</span><span class="num">1</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t205" class="mis show_mis"><span class="n"><a href="#t205">205</a></span><span class="t"> <span class="nam">size_label_to_bracket_dic</span><span class="op">[</span><span class="nam">ll</span><span class="op">]</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">arange</span><span class="op">(</span><span class="nam">sb</span><span class="op">,</span> <span class="nam">eb</span><span class="op">+</span><span class="num">1</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t206" class="pln"><span class="n"><a href="#t206">206</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t207" class="mis show_mis"><span class="n"><a href="#t207">207</a></span><span class="t"> <span class="nam">new_df</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">data</span><span class="op">=</span><span class="op">{</span> </span><span class="r"></span></p>
<p id="t208" class="pln"><span class="n"><a href="#t208">208</a></span><span class="t"> <span class="str">'label'</span><span class="op">:</span> <span class="nam">index_to_size_labels_dic</span><span class="op">,</span> </span><span class="r"></span></p>
<p id="t209" class="pln"><span class="n"><a href="#t209">209</a></span><span class="t"> <span class="com"># 'bracket': index_to_size_brackets_dic,</span> </span><span class="r"></span></p>
<p id="t210" class="pln"><span class="n"><a href="#t210">210</a></span><span class="t"> <span class="str">'bracket_start'</span><span class="op">:</span> <span class="nam">index_to_size_bracket_start_dic</span><span class="op">,</span> </span><span class="r"></span></p>
<p id="t211" class="pln"><span class="n"><a href="#t211">211</a></span><span class="t"> <span class="str">'bracket_end'</span><span class="op">:</span> <span class="nam">index_to_size_bracket_end_dic</span><span class="op">,</span> </span><span class="r"></span></p>
<p id="t212" class="pln"><span class="n"><a href="#t212">212</a></span><span class="t"> <span class="com"># 'bracket': index_to_size_bracket_range_dic</span> </span><span class="r"></span></p>
<p id="t213" class="pln"><span class="n"><a href="#t213">213</a></span><span class="t"> <span class="op">}</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t214" class="mis show_mis"><span class="n"><a href="#t214">214</a></span><span class="t"> <span class="nam">new_df</span> <span class="op">=</span> <span class="nam">new_df</span><span class="op">.</span><span class="nam">sort_index</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t215" class="mis show_mis"><span class="n"><a href="#t215">215</a></span><span class="t"> <span class="key">return</span> <span class="nam">new_df</span><span class="op">,</span> <span class="nam">size_label_to_bracket_dic</span> </span><span class="r"></span></p>
<p id="t216" class="pln"><span class="n"><a href="#t216">216</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t217" class="pln"><span class="n"><a href="#t217">217</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t218" class="pln"><span class="n"><a href="#t218">218</a></span><span class="t"><span class="com"># def get_establishment_sizes_distr(datadir, locations, state_location='Washington', country_location='usa', level='county'):</span> </span><span class="r"></span></p>
<p id="t219" class="pln"><span class="n"><a href="#t219">219</a></span><span class="t"><span class="com"># # """</span> </span><span class="r"></span></p>
<p id="t220" class="pln"><span class="n"><a href="#t220">220</a></span><span class="t"><span class="com"># # Get size d</span> </span><span class="r"></span></p>
<p id="t221" class="pln"><span class="n"><a href="#t221">221</a></span><span class="t"><span class="com"># # """</span> </span><span class="r"></span></p>
<p id="t222" class="pln"><span class="n"><a href="#t222">222</a></span><span class="t"><span class="com"># size_label_df, size_label_to_bracket_dic = get_establishment_size_brackets_df(datadir, locations, state_location, country_location, level)</span> </span><span class="r"></span></p>
<p id="t223" class="pln"><span class="n"><a href="#t223">223</a></span><span class="t"><span class="com"># labels = sorted(size_label_to_bracket_dic.keys())</span> </span><span class="r"></span></p>
<p id="t224" class="pln"><span class="n"><a href="#t224">224</a></span><span class="t"><span class="com"># df = get_establishments_by_industries_df(datadir, locations, state_location, country_location, level)</span> </span><span class="r"></span></p>
<p id="t225" class="pln"><span class="n"><a href="#t225">225</a></span><span class="t"><span class="com"># d = df[df['NAICS Industry'] == 'Total']</span> </span><span class="r"></span></p>
<p id="t226" class="pln"><span class="n"><a href="#t226">226</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t227" class="pln"><span class="n"><a href="#t227">227</a></span><span class="t"><span class="com"># size_distr_by_label_dic = {}</span> </span><span class="r"></span></p>
<p id="t228" class="pln"><span class="n"><a href="#t228">228</a></span><span class="t"><span class="com"># for label in labels:</span> </span><span class="r"></span></p>
<p id="t229" class="pln"><span class="n"><a href="#t229">229</a></span><span class="t"><span class="com"># size_distr_by_label_dic[label] = d[d['Enterprise Size'] == label]['Establishments'].values[0]</span> </span><span class="r"></span></p>
<p id="t230" class="pln"><span class="n"><a href="#t230">230</a></span><span class="t"><span class="com"># return norm_dic(size_distr_by_label_dic)</span> </span><span class="r"></span></p>
<p id="t231" class="pln"><span class="n"><a href="#t231">231</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t232" class="pln"><span class="n"><a href="#t232">232</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t233" class="pln"><span class="n"><a href="#t233">233</a></span><span class="t"><span class="com"># def generate_workplace_sizes_and_industries(establishments_df, size_label_df, size_label_to_bracket_dic, size_distr_by_label_dic):</span> </span><span class="r"></span></p>
<p id="t234" class="pln"><span class="n"><a href="#t234">234</a></span><span class="t"><span class="com"># labels = sorted(size_label_to_bracket_dic.keys())</span> </span><span class="r"></span></p>
<p id="t235" class="pln"><span class="n"><a href="#t235">235</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t236" class="pln"><span class="n"><a href="#t236">236</a></span><span class="t"><span class="com"># n = 900</span> </span><span class="r"></span></p>
<p id="t237" class="pln"><span class="n"><a href="#t237">237</a></span><span class="t"><span class="com"># distr_array = [size_distr_by_label_dic[label] for label in labels]</span> </span><span class="r"></span></p>
<p id="t238" class="pln"><span class="n"><a href="#t238">238</a></span><span class="t"><span class="com"># l = np.random.choice(labels, p=distr_array)</span> </span><span class="r"></span></p>
<p id="t239" class="pln"><span class="n"><a href="#t239">239</a></span><span class="t"><span class="com"># s = np.random.choice(size_label_to_bracket_dic[l])</span> </span><span class="r"></span></p>
<p id="t240" class="pln"><span class="n"><a href="#t240">240</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t241" class="pln"><span class="n"><a href="#t241">241</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t242" class="pln"><span class="n"><a href="#t242">242</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t243" class="pln"><span class="n"><a href="#t243">243</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t244" class="pln"><span class="n"><a href="#t244">244</a></span><span class="t"><span class="com"># def generate_workplace_sizes_and_industries(datadir, locations, state_location='Washington', country_location='usa', level='county'):</span> </span><span class="r"></span></p>
<p id="t245" class="pln"><span class="n"><a href="#t245">245</a></span><span class="t"><span class="com"># establishments_df = get_establishments_by_industries_df(datadir, locations, state_location, country_location, level)</span> </span><span class="r"></span></p>
<p id="t246" class="pln"><span class="n"><a href="#t246">246</a></span><span class="t"><span class="com"># size_label_df, size_label_to_bracket_dic = get_establishment_size_brackets_df(datadir, locations, state_location, country_location, level)</span> </span><span class="r"></span></p>
<p id="t247" class="pln"><span class="n"><a href="#t247">247</a></span><span class="t"><span class="com"># labels = sorted(size_label_to_bracket_dic.keys())</span> </span><span class="r"></span></p>
<p id="t248" class="pln"><span class="n"><a href="#t248">248</a></span><span class="t"><span class="com"># size_distr_by_label_dic = get_establishment_sizes_distr(datadir, locations, state_location, country_location, level)</span> </span><span class="r"></span></p>
<p id="t249" class="pln"><span class="n"><a href="#t249">249</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t250" class="pln"><span class="n"><a href="#t250">250</a></span><span class="t"><span class="com"># n = 900</span> </span><span class="r"></span></p>
<p id="t251" class="pln"><span class="n"><a href="#t251">251</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t252" class="pln"><span class="n"><a href="#t252">252</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t253" class="pln"><span class="n"><a href="#t253">253</a></span><span class="t"><span class="com"># distr_array = [size_distr_by_label_dic[label] for label in labels]</span> </span><span class="r"></span></p>
<p id="t254" class="pln"><span class="n"><a href="#t254">254</a></span><span class="t"><span class="com"># print(distr_array)</span> </span><span class="r"></span></p>
<p id="t255" class="pln"><span class="n"><a href="#t255">255</a></span><span class="t"><span class="com"># l = np.random.choice(labels, p=distr_array)</span> </span><span class="r"></span></p>
<p id="t256" class="pln"><span class="n"><a href="#t256">256</a></span><span class="t"><span class="com"># s = np.random.choice(size_label_to_bracket_dic[l])</span> </span><span class="r"></span></p>
<p id="t257" class="pln"><span class="n"><a href="#t257">257</a></span><span class="t"><span class="com"># print(l, size_distr_by_label_dic[l], size_label_to_bracket_dic[l][0], size_label_to_bracket_dic[l][-1], s)</span> </span><span class="r"></span></p>
<p id="t258" class="pln"><span class="n"><a href="#t258">258</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t259" class="pln"><span class="n"><a href="#t259">259</a></span><span class="t"><span class="com"># def get_industry_distr_by</span> </span><span class="r"></span></p>
<p id="t260" class="pln"><span class="n"><a href="#t260">260</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t261" class="pln"><span class="n"><a href="#t261">261</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t262" class="run"><span class="n"><a href="#t262">262</a></span><span class="t"><span class="key">def</span> <span class="nam">generate_synthetic_population_with_workplace_industries</span><span class="op">(</span><span class="nam">n</span><span class="op">,</span> <span class="nam">datadir</span><span class="op">,</span><span class="nam">location</span><span class="op">=</span><span class="str">'seattle_metro'</span><span class="op">,</span><span class="nam">state_location</span><span class="op">=</span><span class="str">'Washington'</span><span class="op">,</span><span class="nam">country_location</span><span class="op">=</span><span class="str">'usa'</span><span class="op">,</span><span class="nam">sheet_name</span><span class="op">=</span><span class="str">'United States of America'</span><span class="op">,</span><span class="nam">level</span><span class="op">=</span><span class="str">'county'</span><span class="op">,</span><span class="nam">verbose</span><span class="op">=</span><span class="key">False</span><span class="op">,</span><span class="nam">plot</span><span class="op">=</span><span class="key">False</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t263" class="pln"><span class="n"><a href="#t263">263</a></span><span class="t"> <span class="str">"""</span> </span><span class="r"></span></p>
<p id="t264" class="pln"><span class="n"><a href="#t264">264</a></span><span class="t"><span class="str"> </span> </span><span class="r"></span></p>
<p id="t265" class="pln"><span class="n"><a href="#t265">265</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t266" class="pln"><span class="n"><a href="#t266">266</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p id="t267" class="mis show_mis"><span class="n"><a href="#t267">267</a></span><span class="t"> <span class="nam">age_brackets</span> <span class="op">=</span> <span class="nam">spdata</span><span class="op">.</span><span class="nam">get_census_age_brackets</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span><span class="nam">state_location</span><span class="op">,</span><span class="nam">country_location</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t268" class="mis show_mis"><span class="n"><a href="#t268">268</a></span><span class="t"> <span class="nam">age_by_brackets_dic</span> <span class="op">=</span> <span class="nam">get_age_by_brackets_dic</span><span class="op">(</span><span class="nam">age_brackets</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t269" class="pln"><span class="n"><a href="#t269">269</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t270" class="mis show_mis"><span class="n"><a href="#t270">270</a></span><span class="t"> <span class="nam">num_agebrackets</span> <span class="op">=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">age_brackets</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t271" class="mis show_mis"><span class="n"><a href="#t271">271</a></span><span class="t"> <span class="nam">contact_matrix_dic</span> <span class="op">=</span> <span class="nam">spdata</span><span class="op">.</span><span class="nam">get_contact_matrix_dic</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span><span class="nam">sheet_name</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t272" class="pln"><span class="n"><a href="#t272">272</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t273" class="mis show_mis"><span class="n"><a href="#t273">273</a></span><span class="t"> <span class="nam">household_size_distr</span> <span class="op">=</span> <span class="nam">spdata</span><span class="op">.</span><span class="nam">get_household_size_distr</span><span class="op">(</span><span class="nam">datadir</span><span class="op">,</span><span class="nam">location</span><span class="op">,</span><span class="nam">state_location</span><span class="op">,</span><span class="nam">country_location</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t274" class="pln"><span class="n"><a href="#t274">274</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t275" class="mis show_mis"><span class="n"><a href="#t275">275</a></span><span class="t"> <span class="key">if</span> <span class="nam">n</span> <span class="op"><</span> <span class="num">5000</span><span class="op">:</span> </span><span class="r"></span></p>
<p id="t276" class="mis show_mis"><span class="n"><a href="#t276">276</a></span><span class="t"> <span class="key">raise</span> <span class="nam">NotImplementedError</span><span class="op">(</span><span class="str">"Population is too small to currently be generated properly. Try a size larger than 5000."</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t277" class="pln"><span class="n"><a href="#t277">277</a></span><span class="t"> </span><span class="r"></span></p>
<p id="t278" class="pln"><span class="n"><a href="#t278">278</a></span><span class="t"> <span class="com"># this could be unnecessary if we get the single year age distribution in a different way.</span> </span><span class="r"></span></p>
<p id="t279" class="mis show_mis"><span class="n"><a href="#t279">279</a></span><span class="t"> <span class="nam">n_to_sample_smoothly</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="num">1e6</span><span class="op">)</span> </span><span class="r"></span></p>
<p id="t280" class="pln"><span class="n"><a href="#t280">280</a></span><span class="t"> <span class="com"># hh_sizes = sp.generate_household_sizes(n_to_sample_smoothly,household_size_distr)</span> </span><span class="r"></span></p>
<p id="t281" class="pln"><span class="n"><a href="#t281">281</a></span><span class="t"> <span class="com"># hh_sizes = sp.generate_household_sizes(n_to_sample_smoothly,household_size_distr)</span> </span><span class="r"></span></p>
<p id="t282" class="pln"><span class="n"><a href="#t282">282</a></span><span class="t"> <span class="com"># sp.trim_households(1000,household_size_distr)</span> </span><span class="r"></span></p>
<p id="t283" class="mis show_mis"><span class="n"><a href="#t283">283</a></span><span class="t"> <span class="nam">spct</span><span class="op">.</span><span class="nam">make_popdict</span><span class="op">(</span><span class="nam">n</span><span class="op">=</span><span class="num">5000</span><span class="op">)</span> </span><span class="r"></span></p>
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