Aug 31, 2020 · You can pass the x argument: plt.plot(np.arange(len(y_pred)) + len(y_train),y_test) plt.plot(np.arange(len(y_pred)) + len(y_train), y_pred) plt.plot(y_train) plt.plot(train) # you seemed to mess up the labels plt.legend(['y_test', 'y_test_pred', 'y_train','y_train_pred'])

Jan 2, 2021 · Using scatter() or plot() function (which you also mixed up), the first parameter are the coordinates on the x-axis and the second parameter are the coordinates on the y-axis. So 1.) you need to one scatter() with only y_test and then one with only y_pred.

Nov 14, 2020 · I am now trying to plot test and predicted data on a line graph to see how well the model fits however my method is not working: df = pd.DataFrame({'Actual': y_test, 'Predicted': y_preds}) df.plot(kind='line',figsize=(18,8)) plt.grid(which='major', linestyle='-', linewidth='0.5', color='green') plt.grid(which='minor', linestyle=':', linewidth ...

Jul 26, 2024 · In this example code uses Matplotlib to create a scatter plot. It defines x and y values and plots them as scatter points with green asterisk markers (`*`) of size 30. Axes are labeled with `plt.xlabel()` and `plt.ylabel()`, and the plot is titled “My scatter plot!” using `plt.title()`.

Generating visualizations with pyplot is very quick: You may be wondering why the x-axis ranges from 0-3 and the y-axis from 1-4. If you provide a single list or array to plot, matplotlib assumes it is a sequence of y values, and automatically generates the x values for you.

Mar 17, 2025 · Before diving into plotting, ensure you have both libraries installed: pip install matplotlib seaborn. After installation, Import them in your script: import matplotlib.pyplot as plt. import seaborn as sns. Basic plotting with matplotlib. Matplotlib allows you to create simple plots using plt.plot(). Here’s an example of plotting lines and ...

May 11, 2019 · First, we make use of a scatter plot to plot the actual observations, with x_train on the x-axis and y_train on the y-axis. For the regression line, we will use x_train on the x-axis and then the predictions of the x_train observations on the y-axis.

Apr 17, 2025 · In this article, we will learn how to plot mathematical expressions in it. Lets start our work with one of the most simple and common equation Y = X² Y = X 2. We want to plot 100 points on X-axis. In this case, each and every value of Y is square of X value of the same index and then visualize it.

Plot y versus x as lines and/or markers. See plot.

Sep 17, 2019 · y_predict= pnn.predict(x) data['y_predict'] = y_predict and have the column in your dataframe, if you want to plot it you can use: import matplotlib.pyplot as plt plt.scatter(data['Selected'], data['y_predict']) plt.show()