From df350727e8a6915a981c8e708bb49c621266947c Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:14:30 +0000 Subject: [PATCH 1/6] Completed Jupyter notebook exercises --- src/1-line-plot.ipynb | 43 ++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 40 insertions(+), 3 deletions(-) diff --git a/src/1-line-plot.ipynb b/src/1-line-plot.ipynb index eab74494..cf9b7a9c 100644 --- a/src/1-line-plot.ipynb +++ b/src/1-line-plot.ipynb @@ -11,16 +11,53 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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." + "# Customize the plot by adding a title, labels for both axes, and a grid.\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "x = np.linspace(0, 10, 100)\n", + "y = x**2\n", + "plt.plot(x, y)\n", + "plt.title(\"Line Plot of y = x^2\")\n", + "plt.xlabel(\"x-axis\")\n", + "plt.ylabel(\"y-axis\")\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, From a50c5e258944cca4b5e3cb5acdf3cb047a88af85 Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:14:51 +0000 Subject: [PATCH 2/6] Completed Jupyter notebook exercises --- src/2-bar-plot.ipynb | 41 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/src/2-bar-plot.ipynb b/src/2-bar-plot.ipynb index 9d3fb712..b6b65891 100644 --- a/src/2-bar-plot.ipynb +++ b/src/2-bar-plot.ipynb @@ -9,18 +9,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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." + "# Use different colors for each bar and add a title to the plot.\n", + "\n", + "import matplotlib.pyplot as plt\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "colors = ['red', 'green', 'blue', 'orange']\n", + "plt.bar(categories, values, color=colors)\n", + "plt.title(\"Bar Plot of Categories and Values\")\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, From 509ea2019b27749be56988176ccffd21c100287a Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:15:04 +0000 Subject: [PATCH 3/6] Completed Jupyter notebook exercises --- src/3-scatter-plot.ipynb | 43 ++++++++++++++++++++++++++++++++++++---- 1 file changed, 39 insertions(+), 4 deletions(-) diff --git a/src/3-scatter-plot.ipynb b/src/3-scatter-plot.ipynb index 9bed601f..e11629e9 100644 --- a/src/3-scatter-plot.ipynb +++ b/src/3-scatter-plot.ipynb @@ -9,18 +9,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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'." + "# Annotate each point with its (x, y) value, and set the title as 'Scatter Plot with Annotations'.\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "x = [1, 2, 3, 4, 5]\n", + "y = [2, 4, 6, 8, 10]\n", + "plt.scatter(x, y)\n", + "for i in range(len(x)):\n", + " plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]), textcoords=\"offset points\", xytext=(6,6), ha='center')\n", + "plt.title('Scatter Plot with Annotations')\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, From 8df8acef35f545a1abfcaf380afc6447878ebc34 Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:15:16 +0000 Subject: [PATCH 4/6] Completed Jupyter notebook exercises --- src/4-pie-chart.ipynb | 41 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/src/4-pie-chart.ipynb b/src/4-pie-chart.ipynb index eedc5b94..14c86082 100644 --- a/src/4-pie-chart.ipynb +++ b/src/4-pie-chart.ipynb @@ -9,18 +9,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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." + "# Display the percentages on the chart using autopct.\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "labels = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes = [40, 25, 20, 15]\n", + "plt.pie(sizes, labels=labels, autopct='%1.1f%%')\n", + "plt.title('Pie Chart of Programming Languages')\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, From 56098bb5fe447fcb743683e91ad00494ba6c480e Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:15:27 +0000 Subject: [PATCH 5/6] Completed Jupyter notebook exercises --- src/5-subplot.ipynb | 57 +++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 53 insertions(+), 4 deletions(-) diff --git a/src/5-subplot.ipynb b/src/5-subplot.ipynb index 98e4fa95..387e5d9a 100644 --- a/src/5-subplot.ipynb +++ b/src/5-subplot.ipynb @@ -9,18 +9,67 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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." + "# 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.\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "x_line = np.linspace(0, 10, 100)\n", + "y_line = x_line**2\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "x_scatter = [1, 2, 3, 4, 5]\n", + "y_scatter = [2, 4, 6, 8, 10]\n", + "labels = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes = [40, 25, 20, 15]\n", + "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n", + "fig.suptitle('2x2 Subplots', fontsize=16)\n", + "axs[0, 0].plot(x_line, y_line)\n", + "axs[0, 0].set_title('Line Chart')\n", + "axs[0, 1].bar(categories, values)\n", + "axs[0, 1].set_title('Bar Chart')\n", + "axs[1, 0].scatter(x_scatter, y_scatter)\n", + "axs[1, 0].set_title('Scatter Plot')\n", + "axs[1, 1].pie(sizes, labels=labels, autopct='%1.1f%%')\n", + "axs[1, 1].set_title('Pie Chart')\n", + "plt.tight_layout(rect=[0, 0.03, 1, 0.95])\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, From 23fbbd4c5ef7e98f9afcfe879638dc72e2927ed2 Mon Sep 17 00:00:00 2001 From: Jayanthi234 <126312475+Jayanthi234@users.noreply.github.com> Date: Thu, 8 May 2025 18:15:39 +0000 Subject: [PATCH 6/6] Completed Jupyter notebook exercises --- src/6-histogram.ipynb | 41 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/src/6-histogram.ipynb b/src/6-histogram.ipynb index 5e6e6b60..2401306f 100644 --- a/src/6-histogram.ipynb +++ b/src/6-histogram.ipynb @@ -9,18 +9,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "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." + "# Customize the histogram with a title, labels for the x-axis, and a specific color for the bars.\n", + "\n", + "import matplotlib.pyplot as plt\n", + "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\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()" ] } ], "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,