[Python] Plotting in Python, (with numpy, pandas and matplotlib)

Discussão em 'Python' iniciado por Stack, Julho 26, 2025.

  1. Stack

    Stack Membro Participativo

    I am new to Python, albeit not to programming, and I've found on a tutorial this Python implementation of a simple linear regression algorithm. So far I've only written the code for plotting the graph, with no linear regression. However, as I try to run the code into the Python command prompt, I only get an empty plot. I've tried to correct possible errors with the tutorial and other resources on the net, though I wasn't able to find anything. Could somebody help me figure this out? (PS. I am new to Stack Overflow :)) This is the code:

    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt

    data = {'Years of Experience':[ 1.1, 1.3, 1.5, 2. , 2.2, .29, 3. , 3.2, 3.2, 3.7, 3.7, 3.9,
    4. , 4. , 4.1, 4.5, 4.9, 5.1, 5.3, 5.9, 6. , 6.8, 7.1,
    7.9, 8.2, 8.7, 9. , 9.5, 9.6, 10.3, 10.5],
    'Salary':[ 39343., 46205., 37731., 43525., 39891., 56642., 60150.,
    54445., 64445., 57189., 63218., 55794., 56957., 57081.,
    61111., 67938., 66029., 83088., 81363., 93940., 91738.,
    98273., 1011302., 113812., 109431., 105582., 116969., 112635.,
    122391., 121872.]}
    dataframe = pd.DataFrame(data)
    dataframe.head()
    x = dataframe.iloc[:,0].values.reshape(-1,1)
    y = dataframe.iloc[:,1].values.reshape(-1,1)
    plt.scatter(x,y)
    plt.title("Years of Experience vs Salary")
    plt.xlabel("Years of Experience")
    plt.ylabel("Salary")
    plt.show()

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