diff --git a/Pandas/Upsample and Forwardsample/Upsample to average.ipynb b/Pandas/Upsample/Upsample to average.ipynb similarity index 100% rename from Pandas/Upsample and Forwardsample/Upsample to average.ipynb rename to Pandas/Upsample/Upsample to average.ipynb diff --git a/Vizualizations/Plotly/Histogram/Histograms.ipynb b/Vizualizations/Plotly/Histogram/Histograms.ipynb index 03bdc43..0e5ba57 100644 --- a/Vizualizations/Plotly/Histogram/Histograms.ipynb +++ b/Vizualizations/Plotly/Histogram/Histograms.ipynb @@ -1,5 +1,18 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T20:48:32.080322Z", + "start_time": "2020-10-07T20:48:32.062373Z" + } + }, + "source": [ + "# Histogram with Plotly.Express: Complete guide\n", + "Notebook to complement the article: https://towardsdatascience.com/histograms-with-plotly-express-complete-guide-d483656c5ad7" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -2016,7 +2029,49 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.3" + "version": "3.7.4" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4,