Eelke

0-03-Crash-Course-Exercises/Crash-Course-Review-Exercises.py

@@ -10,37 +10,39 @@
 #######
 # TASK 1: Import pandas and numpy
 ######
-
+import pandas as pd
+import numpy as np
 
 
 #######
 # TASK 2: Set Numpy's random number generator seed to 101
 ######
-
+np.random.seed(101)
 
 
 #######
 # TASK 3: Create a NumPy Matrix of 100 rows by 5 columns consisting of
 #         random integers from 1-100. (Keep in mind that the upper
 #         limit may be exclusive.)
 ######
-
+arr = np.random.randint(0, 101, (100,5))
 
 
 #######
 # TASK 4: Now use pd.DataFrame() to read in this numpy array as a dataframe.
 #         Simple pass in the numpy array into that function to get back a
 #         dataframe. Pandas will auto label the columns to 0-4
 ######
-
+df = pd.DataFrame(arr)
 
 
 #######
 # TASK 5: Using your previously created DataFrame, use [df.columns = [...]]
 #         (https://stackoverflow.com/questions/11346283/renaming-columns-in-pandas)
 #         to rename the pandas columns to be ['f1','f2','f3','f4','label'].
 ######
-
+df.columns = ['f1', 'f2', 'f3', 'f4', 'label']
+print(df)
 
 
 #######
@@ -52,3 +54,6 @@
 #         between 0 and 100. (Hint: Use numpy to create the numbers, then pass
 #         it in to pd.DataFrame(), check out the data= and index= parameters
 #         for that call.)
+arr = np.random.randint(0,101, (50,4))
+df = pd.DataFrame(data=arr, columns=['A','B','C','D'])
+print(df)

1-02-ScatterPlots/.ipynb_checkpoints/ScatterPlots_notebook-checkpoint.ipynb

@@ -0,0 +1,99 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import packages\n",
+    "import numpy as np\n",
+    "import plotly.offline as pyo\n",
+    "import plotly.graph_objs as go"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get consistent random data\n",
+    "np.random.seed(42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create the data\n",
+    "random_x = np.random.randint(1,101,100)\n",
+    "random_y = np.random.randint(1,101,100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'scatterplot_1.html'"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create the data variable\n",
+    "data = [go.Scatter(x=random_x,\n",
+    "                   y=random_y,\n",
+    "                   mode='markers',\n",
+    "                   marker = dict(\n",
+    "                      size= 12,\n",
+    "                      color= 'rgb(51,204,153)',\n",
+    "                      symbol= 'pentagon',\n",
+    "                      line = {'width':2}\n",
+    "                  ))]\n",
+    "\n",
+    "# create the layout variable\n",
+    "layout = go.Layout(title='Scatterplot 1',\n",
+    "                  xaxis={'title':'My x axis'},\n",
+    "                   yaxis=dict(title='My y axis'),\n",
+    "                   hovermode='closest')\n",
+    "\n",
+    "# combine them into a figure\n",
+    "fig = go.Figure(data=data, layout=layout)\n",
+    "\n",
+    "# plot the figure\n",
+    "pyo.plot(fig, filename='scatterplot_1.html')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

1-02-ScatterPlots/ScatterPlots_notebook.ipynb

@@ -0,0 +1,99 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import packages\n",
+    "import numpy as np\n",
+    "import plotly.offline as pyo\n",
+    "import plotly.graph_objs as go"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get consistent random data\n",
+    "np.random.seed(42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create the data\n",
+    "random_x = np.random.randint(1,101,100)\n",
+    "random_y = np.random.randint(1,101,100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'scatterplot_1.html'"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create the data variable\n",
+    "data = [go.Scatter(x=random_x,\n",
+    "                   y=random_y,\n",
+    "                   mode='markers',\n",
+    "                   marker = dict(\n",
+    "                      size= 12,\n",
+    "                      color= 'rgb(51,204,153)',\n",
+    "                      symbol= 'pentagon',\n",
+    "                      line = {'width':2}\n",
+    "                  ))]\n",
+    "\n",
+    "# create the layout variable\n",
+    "layout = go.Layout(title='Scatterplot 1',\n",
+    "                  xaxis={'title':'My x axis'},\n",
+    "                   yaxis=dict(title='My y axis'),\n",
+    "                   hovermode='closest')\n",
+    "\n",
+    "# combine them into a figure\n",
+    "fig = go.Figure(data=data, layout=layout)\n",
+    "\n",
+    "# plot the figure\n",
+    "pyo.plot(fig, filename='scatterplot_1.html')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}