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andrewhnberryandrewhnberry
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Update matplotlib_exercise
-Improved Clarity
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‎.ipynb_checkpoints/matplotlib_exercise-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-04-23T18:18:27.178894Z",
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"start_time": "2020-04-23T18:18:27.172402Z"
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}
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},
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"outputs": [],
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"source": [
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"# import pandas\n",
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"import pandas as pd\n",
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"\n",
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"# import matplotlib\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-04-23T18:18:27.475135Z",
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"start_time": "2020-04-23T18:18:27.390985Z"
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}
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},
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"outputs": [],
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"source": [
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"df=pd.read_csv('https://pynative.com/wp-content/uploads/2019/01/company_sales_data.csv')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-04-23T18:18:27.606163Z",
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"start_time": "2020-04-23T18:18:27.594265Z"
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}
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},
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"outputs": [],
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"source": [
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"df.head()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-02-10T14:31:17.354810Z",
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"start_time": "2020-02-10T14:31:17.350708Z"
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}
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},
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"source": [
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"### Task 1: Read the `total_profit` of all months and display it using a line plot."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-02-10T14:31:58.448841Z",
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"start_time": "2020-02-10T14:31:58.296625Z"
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}
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-02-10T14:32:21.369689Z",
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"start_time": "2020-02-10T14:32:21.365982Z"
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}
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},
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"source": [
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"### Task 2: Read all the different product sales data and display it using a multiline plot."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-02-10T14:32:43.465628Z",
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"start_time": "2020-02-10T14:32:43.236946Z"
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}
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Task 3: Read the `total_profit` of each month and display it using a histogram to find out which profit ranges are the most common."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-02-10T14:33:25.912982Z",
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"start_time": "2020-02-10T14:33:25.730585Z"
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}
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.9"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": false,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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},
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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}
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},
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"types_to_exclude": [
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"module",
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"function",
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"builtin_function_or_method",
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"instance",
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"_Feature"
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],
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"window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎matplotlib_exercise.ipynb

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}
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},
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"source": [
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"# Objective: Read Total profit of all months and show it using a line plot"
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"### Task 1: Read the `total_profit` of all months and display it using a line plot."
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]
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},
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{
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}
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},
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"source": [
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"# Objective: Read all product sales data and show it using a multiline plot"
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"### Task 2: Read all the different product sales data and display it using a multiline plot."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Objective: Read the total profit of each month and show it using the histogram to see most common profit ranges"
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"### Task 3: Read the `total_profit` of each month and display it using a histogram to find out which profit ranges are the most common."
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.7.9"
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},
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"toc": {
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"base_numbering": 1,
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}

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