Schedule-Schedule

Schedule-Schedule 00704

The data for the chart includes a list of months, where each month is represented by its abbreviation (e.g., Jan for January). Additionally, we have two sets of data: completed_tasks and total_tasks. completed_tasks represents the number of tasks completed in each month, while total_tasks represents a hypothetical constant total number of tasks per month.

Characteristics:

[Category] <---------------------------------------------------------> [Invoices]
[Creator] <-----------------------------------------------------> [InNotSystem13]
[Project] <---------------------------------------------------> [Schedule-Schedule]
[Identifier] <--------------------------------------------------------> [00704]
[Contract] <------------> [0xE73Ea61D9d3A8769f4638fC1F56F946F4927Ead8]
[Chain] <---------------------------------------------------------> [BSC Chain]
[Type] <----------------------------------------------------> [Application]

Binance Smart Chain (BSC)

Price: 1 USDT

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    import matplotlib.pyplot as plt

    # Data for the plot
    months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
    completed_tasks = [4, 7, 6, 9, 12, 10, 14, 13, 8, 9, 6, 5]
    total_tasks = [15] * 12  # Assuming a total of 15 tasks per month

    # Create the plot
    plt.figure(figsize=(10, 6))
    plt.plot(months, completed_tasks, marker='o', label='Completed')
    plt.plot(months, total_tasks, linestyle='--', label='Total Tasks')

    # Customize the plot
    plt.title('Monthly Tasks')
    plt.xlabel('Month')
    plt.ylabel('Number of Tasks')
    plt.legend()
    plt.grid(True)

    # Display the plot
    plt.show()


    # pip install matplotlib

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Smart-Contract #000-00000000000029 0xE73Ea61D9d3A8769f4638fC1F56F946F4927Ead8

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Author's message: We proceed to create the plot using plt.figure(), specifying the figure size. Two lines are drawn on the plot, one representing completed tasks and the other representing the total tasks. The completed tasks are plotted as markers with the 'o' style, creating data points for each month. The total tasks are plotted as dashed lines with the '--' style.