diff --git a/src/1-line-plot.ipynb b/src/1-line-plot.ipynb index eab74494..c35146c9 100644 --- a/src/1-line-plot.ipynb +++ b/src/1-line-plot.ipynb @@ -12,15 +12,74 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "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", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# Generate x values from 0 to 10\n", + "x = np.linspace(0, 10, 100)\n", + "# Calculate y values as the square of x\n", + "y = x ** 2\n", + "\n", + "# Create the line plot\n", + "plt.figure(figsize=(8, 5))\n", + "plt.plot(x, y, label='y = x^2', color='blue')\n", + "plt.title('Line Plot of y = x^2')\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "\n", + "# Show the plot\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/2-bar-plot.ipynb b/src/2-bar-plot.ipynb index 9d3fb712..e1dd214d 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": [], + "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", + "import matplotlib.pyplot as plt\n", + "\n", + "# Data for the bar plot\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "\n", + "# Create the bar plot\n", + "plt.figure(figsize=(6, 4))\n", + "plt.bar(categories, values, color='skyblue')\n", + "plt.title('Bar Plot of Categories and Values')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Values')\n", + "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", + "plt.tight_layout()\n", + "\n", + "# Show the plot\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/3-scatter-plot.ipynb b/src/3-scatter-plot.ipynb index 9bed601f..e02e3df3 100644 --- a/src/3-scatter-plot.ipynb +++ b/src/3-scatter-plot.ipynb @@ -9,18 +9,60 @@ }, { "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", + "import matplotlib.pyplot as plt\n", + "\n", + "# Data for the scatter plot\n", + "x = [1, 2, 3, 4, 5]\n", + "y = [2, 4, 6, 8, 10]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(6, 4))\n", + "plt.scatter(x, y, color='red', marker='o')\n", + "plt.title('Scatter Plot of x and y')\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.grid(True)\n", + "plt.tight_layout()\n", + "\n", + "# Show the plot\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..6e71d740 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": [], + "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", + "import matplotlib.pyplot as plt\n", + "\n", + "# Data for the pie chart\n", + "labels = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes = [40, 25, 20, 15]\n", + "colors = ['gold', 'lightblue', 'lightgreen', 'lightcoral']\n", + "\n", + "# Create the pie chart\n", + "plt.figure(figsize=(6, 6))\n", + "plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)\n", + "plt.title('Programming Language Popularity')\n", + "plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n", + "plt.tight_layout()\n", + "\n", + "# Show the plot\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/5-subplot.ipynb b/src/5-subplot.ipynb index 98e4fa95..6de1400b 100644 --- a/src/5-subplot.ipynb +++ b/src/5-subplot.ipynb @@ -9,18 +9,80 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "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", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# Sample data for each plot\n", + "x = np.linspace(0, 10, 100)\n", + "y_line = np.sin(x)\n", + "categories = ['A', 'B', 'C', 'D']\n", + "values = [5, 7, 3, 9]\n", + "x_scatter = np.linspace(1, 5, 5)\n", + "y_scatter = [2, 4, 6, 8, 10]\n", + "labels_pie = ['Python', 'Java', 'C++', 'JavaScript']\n", + "sizes_pie = [40, 25, 20, 15]\n", + "\n", + "# Create a 2x2 subplot layout\n", + "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n", + "\n", + "# First subplot: Line chart\n", + "axs[0, 0].plot(x, y_line, color='blue')\n", + "axs[0, 0].set_title('Line Chart')\n", + "\n", + "# Second subplot: Bar chart\n", + "axs[0, 1].bar(categories, values, color='green')\n", + "axs[0, 1].set_title('Bar Chart')\n", + "\n", + "# Third subplot: Scatter plot\n", + "axs[1, 0].scatter(x_scatter, y_scatter, color='red', marker='o')\n", + "axs[1, 0].set_title('Scatter Plot')\n", + "\n", + "# Fourth subplot: Pie chart\n", + "axs[1, 1].pie(sizes_pie, labels=labels_pie, autopct='%1.1f%%', startangle=140, colors=['gold', 'lightblue', 'lightgreen', 'lightcoral'])\n", + "axs[1, 1].set_title('Pie Chart')\n", + "\n", + "# Adjust layout for better spacing\n", + "plt.tight_layout()\n", + "\n", + "# Show the plot\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..13f46c1e 100644 --- a/src/6-histogram.ipynb +++ b/src/6-histogram.ipynb @@ -9,18 +9,60 @@ }, { "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", + "import matplotlib.pyplot as plt\n", + "\n", + "# Data for the histogram\n", + "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n", + "\n", + "# Create the histogram\n", + "plt.figure(figsize=(6, 4))\n", + "plt.hist(data, bins=5, color='skyblue', edgecolor='black')\n", + "\n", + "# Add title and labels\n", + "plt.title('Histogram of Data')\n", + "plt.xlabel('Value')\n", + "plt.ylabel('Frequency')\n", + "\n", + "# Display the plot\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,