From e5283b1639ff982b8fce049e1996f44f2829b61d Mon Sep 17 00:00:00 2001 From: Samarth <165394199+samarth53@users.noreply.github.com> Date: Wed, 21 May 2025 04:41:39 +0000 Subject: [PATCH] Main --- src/1-line-plot.ipynb | 49 ++++++++++++++++++++++++++++-- src/2-bar-plot.ipynb | 46 ++++++++++++++++++++++++++-- src/3-scatter-plot.ipynb | 49 ++++++++++++++++++++++++++++-- src/4-pie-chart.ipynb | 45 ++++++++++++++++++++++++++-- src/5-subplot.ipynb | 65 ++++++++++++++++++++++++++++++++++++++-- src/6-histogram.ipynb | 46 ++++++++++++++++++++++++++-- 6 files changed, 288 insertions(+), 12 deletions(-) diff --git a/src/1-line-plot.ipynb b/src/1-line-plot.ipynb index eab74494..c1abc55e 100644 --- a/src/1-line-plot.ipynb +++ b/src/1-line-plot.ipynb @@ -9,18 +9,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "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": 2, + "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)\n", + "plt.title(\"Square of X\")\n", + "plt.xlabel(\"X values\")\n", + "plt.ylabel(\"Y = X^2\")\n", + "plt.grid(True)\n", + "plt.show()" + ] } ], "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, diff --git a/src/2-bar-plot.ipynb b/src/2-bar-plot.ipynb index 9d3fb712..dee742b6 100644 --- a/src/2-bar-plot.ipynb +++ b/src/2-bar-plot.ipynb @@ -9,18 +9,60 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "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": 2, + "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', 'blue', 'green', 'orange']\n", + "\n", + "plt.bar(categories, values, color=colors)\n", + "plt.title(\"Bar Plot of Categories\")\n", + "plt.show()" + ] } ], "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, diff --git a/src/3-scatter-plot.ipynb b/src/3-scatter-plot.ipynb index 9bed601f..001217a4 100644 --- a/src/3-scatter-plot.ipynb +++ b/src/3-scatter-plot.ipynb @@ -9,18 +9,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "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": 2, + "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)\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]))\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, diff --git a/src/4-pie-chart.ipynb b/src/4-pie-chart.ipynb index eedc5b94..537aa4ed 100644 --- a/src/4-pie-chart.ipynb +++ b/src/4-pie-chart.ipynb @@ -9,18 +9,59 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "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, + "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()" + ] } ], "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, diff --git a/src/5-subplot.ipynb b/src/5-subplot.ipynb index 98e4fa95..401429c6 100644 --- a/src/5-subplot.ipynb +++ b/src/5-subplot.ipynb @@ -9,18 +9,79 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "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": 4, + "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", + "x = np.arange(1, 6)\n", + "y = x ** 2\n", + "\n", + "axs[0, 0].plot(x, y)\n", + "axs[0, 0].set_title(\"Line Chart\")\n", + "\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "axs[0, 1].bar(categories, values, color=['red', 'blue', 'green', 'orange'])\n", + "axs[0, 1].set_title(\"Bar Chart\")\n", + "\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)\n", + "axs[1, 0].set_title(\"Scatter Plot\")\n", + "\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, diff --git a/src/6-histogram.ipynb b/src/6-histogram.ipynb index 5e6e6b60..414a81c9 100644 --- a/src/6-histogram.ipynb +++ b/src/6-histogram.ipynb @@ -9,7 +9,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, + "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": 2, "metadata": {}, "outputs": [], "source": [ @@ -19,8 +47,22 @@ } ], "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,