diff --git a/src/1-line-plot.ipynb b/src/1-line-plot.ipynb index eab74494..b4a7f44b 100644 --- a/src/1-line-plot.ipynb +++ b/src/1-line-plot.ipynb @@ -2,27 +2,75 @@ "cells": [ { "cell_type": "markdown", + "id": "5a07ba1b", "metadata": {}, "source": [ - "### Exercise 1: Line Plot Customization" + "Exercise 1: Line Plot Customization" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, + "id": "b1f23bb2", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a line plot with x values ranging from 0 to 10 and y values as the square of x.\n", "# Customize the plot by adding a title, labels for both axes, and a grid." ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4fdc7a3c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "x = np.arange(0, 11)\n", + "y = x ** 2\n", + "\n", + "plt.plot(x, y, marker='o', color='blue', linestyle='-')\n", + "plt.title(\"Square of X from 0 to 10\")\n", + "plt.xlabel(\"X Values\")\n", + "plt.ylabel(\"Y = X Squared\")\n", + "plt.grid(True)\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/src/2-bar-plot.ipynb b/src/2-bar-plot.ipynb index 9d3fb712..b4aba857 100644 --- a/src/2-bar-plot.ipynb +++ b/src/2-bar-plot.ipynb @@ -2,27 +2,72 @@ "cells": [ { "cell_type": "markdown", + "id": "6d5ca570", "metadata": {}, "source": [ - "### Exercise 2: Bar Plot with Colors" + "Exercise 2: Bar Chart With Colors" ] }, { "cell_type": "code", "execution_count": null, + "id": "9fdc712a", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a bar plot with the following data: categories = ['A', 'B', 'C', 'D'] and values = [5, 7, 3, 9].\n", "# Use different colors for each bar and add a title to the plot." ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "dd6b197b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "colors = ['red', 'green', 'blue', 'orange']\n", + "\n", + "plt.bar(categories, values, color=colors)\n", + "plt.title(\"Bar Plot of Categories\")\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/src/3-scatter-plot.ipynb b/src/3-scatter-plot.ipynb index 9bed601f..334671f9 100644 --- a/src/3-scatter-plot.ipynb +++ b/src/3-scatter-plot.ipynb @@ -2,27 +2,75 @@ "cells": [ { "cell_type": "markdown", + "id": "f4640664", "metadata": {}, "source": [ - "### Exercise 3: Scatter Plot with Annotations" + "Exercise 3: Scatter Plot With Annotations" ] }, { "cell_type": "code", "execution_count": null, + "id": "fe036399", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a scatter plot with x = [1, 2, 3, 4, 5] and y = [2, 4, 6, 8, 10].\n", "# Annotate each point with its (x, y) value, and set the title as 'Scatter Plot with Annotations'." ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0b6ba53e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "x = [1, 2, 3, 4, 5]\n", + "y = [2, 4, 6, 8, 10]\n", + "\n", + "plt.scatter(x, y, color='purple')\n", + "plt.title(\"Scatter Plot with Annotations\")\n", + "\n", + "for i in range(len(x)):\n", + " plt.annotate(f\"({x[i]}, {y[i]})\", (x[i], y[i]), textcoords=\"offset points\", xytext=(5,5), ha='center')\n", + "\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/src/4-pie-chart.ipynb b/src/4-pie-chart.ipynb index eedc5b94..3850273a 100644 --- a/src/4-pie-chart.ipynb +++ b/src/4-pie-chart.ipynb @@ -2,27 +2,71 @@ "cells": [ { "cell_type": "markdown", + "id": "0670f549", "metadata": {}, "source": [ - "### Exercise 4: Pie Chart with Percentages" + "Exercise 4: Pie Chart with Colors" ] }, { "cell_type": "code", "execution_count": null, + "id": "ed792410", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a pie chart with the following data: labels = ['Python', 'Java', 'C++', 'JavaScript'] and sizes = [40, 25, 20, 15].\n", "# Display the percentages on the chart using autopct." ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ce74dec0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "labels = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes = [40, 25, 20, 15]\n", + "\n", + "plt.pie(sizes, labels=labels, autopct='%1.1f%%')\n", + "plt.title(\"Programming Language Popularity\")\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/src/5-subplot.ipynb b/src/5-subplot.ipynb index 98e4fa95..90b08887 100644 --- a/src/5-subplot.ipynb +++ b/src/5-subplot.ipynb @@ -2,27 +2,95 @@ "cells": [ { "cell_type": "markdown", + "id": "186ed613", "metadata": {}, "source": [ - "### Exercise 5: Subplot Layout" + "Exercise 5: Subplot Layout" ] }, { "cell_type": "code", "execution_count": null, + "id": "40ac8d69", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a 2x2 subplot layout.\n", "# Plot a line chart in the first subplot, a bar chart in the second, a scatter plot in the third, and a pie chart in the fourth." ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5de71160", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n", + "\n", + "# Line chart\n", + "x = np.arange(0, 10)\n", + "y = x ** 2\n", + "axs[0, 0].plot(x, y, color='blue')\n", + "axs[0, 0].set_title(\"Line Chart\")\n", + "\n", + "# Bar chart\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "colors = ['red', 'green', 'blue', 'orange']\n", + "axs[0, 1].bar(categories, values, color=colors)\n", + "axs[0, 1].set_title(\"Bar Chart\")\n", + "\n", + "# Scatter plot\n", + "x_scatter = [1, 2, 3, 4, 5]\n", + "y_scatter = [2, 4, 6, 8, 10]\n", + "axs[1, 0].scatter(x_scatter, y_scatter, color='purple')\n", + "axs[1, 0].set_title(\"Scatter Plot\")\n", + "\n", + "# Pie chart\n", + "labels = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes = [40, 25, 20, 15]\n", + "axs[1, 1].pie(sizes, labels=labels, autopct='%1.1f%%')\n", + "axs[1, 1].set_title(\"Pie Chart\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/src/6-histogram.ipynb b/src/6-histogram.ipynb index 5e6e6b60..cb8c139f 100644 --- a/src/6-histogram.ipynb +++ b/src/6-histogram.ipynb @@ -2,27 +2,101 @@ "cells": [ { "cell_type": "markdown", + "id": "dd0d466f", "metadata": {}, "source": [ - "### Exercise 6: Histogram Customization" + "Exercise 6: Histogram Customization" ] }, { "cell_type": "code", "execution_count": null, + "id": "bdf22fe0", "metadata": {}, "outputs": [], "source": [ "# TASK: Create a histogram for the following data: data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5].\n", "# Customize the histogram with a title, labels for the x-axis, and a specific color for the bars." ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8727a1d5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n", + "\n", + "plt.hist(data, bins=5, color='skyblue', edgecolor='black')\n", + "plt.title(\"Histogram of Data\")\n", + "plt.xlabel(\"Value\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09aadeb7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n", + "\n", + "plt.hist(data, bins=5, color='skyblue', edgecolor='black')\n", + "plt.title(\"Histogram of Data\")\n", + "plt.xlabel(\"Value\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 }