![]() ![]() The other matplotlib functions do not define marker size in this way. This means that if we want a marker to have area 5, we must write s52. The docs define s as: The marker size in points2. Simply move the above line before the call to scatter and things will work as you want. plt.figure (figsize (20,20)) Instead of adjusting the size of the existing plot, it's creating a new figure with a size of 20x20. , 1 Answer Sorted by: 22 This line isn't doing what you think it is. , ValueError: x and y must be the same size > 4391 raise ValueError("x and y must be the same size") Increase Scatter Marker Size of Points Non-Uniformly in Matplotlib Double the Width of Matplotlib Scatter Marker To double the width (or height) of the marker we need to increase s by a factor of 4 as A WH > (2W) (2H) 4A. Plt.plot(X_train, regressor.predict(X_train), color = 'blue', label='Model Plot')Īnd Here's the Syntax Error Detail /usr/local/lib/python3.7/dist-packages/matplotlib/axes/_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, plotnonfinite, **kwargs) Plt.scatter(X_test, y_test, color = 'red', marker = 'o', s = 35, alpha = 0.5, Y_test = np.array(Testing_) # Dependent Variableįrom sklearn.linear_model import LinearRegressionĪccuracy = regressor.score(X_test, y_test) X_test = np.array(Testing_) # Independent Variable Testing_Dataset = Testing_Dataset.dropna() Y_train = np.array(Training_) # Dependent Variable X_train = np.array(Training_) # Independent Variable Training_Dataset = Training_Dataset.dropna() However, I got some trouble with and try my best to find the way to resolve the problem via Stackoverflow and other websites, still, I could not. Import matplotlib.pyplot as plt x = y = plt.scatter(x, y, s=100, c='coral') x = y = size = plt.scatter(x, y, s=500, c='lightblue') plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_08.png') plt.I've been working on the Regression Analysis Coding using matplotlib, numpy and pandas. ![]() ![]() Well pass in the value the width should be changed to as a parameter to the method. Import matplotlib.pyplot as plt x = y = size = plt.scatter(x,y,s=size) plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_06.png') plt.show() Combining several scatter plotsĪnother solution is to combine multiple scatter plots: You can use the setfigwidth () method to change the width of a plot. Note that the list must be of the same size that the input data: To plot points with different size, a solution is to provide a list of size (or an array) to "s". Import matplotlib.pyplot as plt x = y = plt.scatter(x,y,s=400,c='lightblue') plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_07.png') plt.show() Points with different size How to increase the size of scatter points in matplotlib ? plt.scatter (x, y) plt.show () Another plot is plt.scatter (x, y) plt.show () And I wish the they be at the same ratio python python-3. I need to compare plots and they should all be at the same size, i.e., starting in the same point and ending at same size. To increase the size of scatter points, a solution is to use the option "s" from the function scatter(), example I need to change the size of the delimiters of a scatter plot. ![]()
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