scuti/stacksurvey
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Repurposed horizontal line to show the y-intercept value.

Browse Source
This commit is contained in:
scuti
2025-04-23 07:16:48 -07:00
parent bdcba003fe
commit 721a38435b
1 changed files with 7 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
stackoverflow-survey.ipynb
View File

@@ -149,22 +149,12 @@
" self.devs = devs.drop(indices)\n",
" del devs, new_column\n",
" \n",
" def visualize(self, n_lowest=0, \n",
" hue=\"Country\", palette=sb.color_palette() ): \n",
" def visualize(self, hue=\"Country\", \n",
" palette=sb.color_palette() ): \n",
" self.canvas = plt.figure()\n",
" key_x = self.key_x\n",
" key_y = self.key_y\n",
"\n",
" if n_lowest > 0:\n",
" # chatgpt draws my line\n",
" # Calculate the lowest nth point (for example, the 5th lowest value)\n",
" # iloc[-1] gets the last element from the n smallest\n",
" lowest_nth = self.devs[key_y].nsmallest(n_lowest).iloc[-1] \n",
" # Draw a horizontal line at the lowest nth point\n",
" # label=f'Lowest {n_poorest}th Point: {lowest_nth_value:.2f}'\n",
" plt.axhline(y=lowest_nth, color='purple', linestyle='--', \n",
" label=\"y=%0.2f\" % lowest_nth, zorder=-1 )\n",
"\n",
" sb.scatterplot(data=self.devs, x=key_x, y=key_y, hue=hue, palette=palette)\n",
" plt.legend(loc='lower center', bbox_to_anchor=(1.5,0)) \n",
" title = \"Annual Salary of %s Developers Over Years of Experience\" % self.language\\\n",
@@ -200,10 +190,12 @@
" print(\"sample predictions:\")\n",
" print(y_pred[3:6])\n",
" print(\"+----------------------+\")\n",
" \n",
" plt.figure(self.canvas)\n",
" b = model.intercept_[0]\n",
"\n",
" plt.figure(self.canvas)\n",
" plt.plot(X_test, y_pred, color=line_color, label='Regression Line')\n",
" plt.axhline(y=b, color=\"purple\", linestyle='--', \n",
" label=\"b=%0.2f\" % b, zorder=-1 )\n",
" plt.legend(loc='lower center', bbox_to_anchor=(1.5,0)) \n",
" del y_pred, model\n",
"\n",
@@ -280,7 +272,7 @@
" # \"Product manager\"\n",
"]\n",
"c = Foo(so_df, \"C\", jobs=cjobs, n_rich_outliers=30, n_poor_outliers=2)\n",
"c.visualize(n_lowest=7, hue=\"DevType\", palette=[\"#57e6da\",\"#d9e352\",\"#cc622d\"] ) \n",
"c.visualize(hue=\"DevType\", palette=[\"#57e6da\",\"#d9e352\",\"#cc622d\"] ) \n",
"c.run_regression()\n",
"c.run_regression(x_transform=log_base_a, change_base=1.3, \n",
" x_shift=2, y_shift=-5000, line_color=\"magenta\", random=555)\n",