![]() update_layout ( title = "Population changes 1987 to 2007", width = 1000, height = 1000, showlegend = False, ) fig. import numpy as np import matplotlib.pyplot as plt Fixing random state for reproducibility np.ed(19680801) x np.random.rand(10) y np.random.rand(10) z np.sqrt(x2 + y2) fig, axs plt.subplots(2, 3, sharexTrue, shareyTrue) marker symbol axs0, 0.scatter(x, y, s80, cz, marker'>') axs0, 0.settitle('marker'>'') mar. Import pandas as pd import aph_objects as go from plotly import data df = data. Scatter ( mode = 'markers', x =, y =, opacity = 0.5, marker = dict ( color = 'LightSkyBlue', size = 80, line = dict ( color = 'MediumPurple', width = 8 ) ), showlegend = False ) ) fig. Scatter ( mode = 'markers', x = x2, y = y2, marker = dict ( color = 'LightSkyBlue', size = 20, line = dict ( color = 'MediumPurple', width = 2 ) ), name = 'Opacity 1.0' ) ) # Add trace with large markers fig. Scatter ( mode = 'markers', x = x, y = y, opacity = 0.5, marker = dict ( color = 'LightSkyBlue', size = 20, line = dict ( color = 'MediumPurple', width = 2 ) ), name = 'Opacity 0.5' ) ) # Add second scatter trace with medium sized markers # and opacity 1.0 fig. Figure () # Add first scatter trace with medium sized markers fig. Define X and Y: Define the data values on X-axis and Y-axis. uniform ( low = 4.5, high = 6, size = ( 500 ,)) # Build figure fig = go. The following steps are used to create a matplotlib scatter marker which is outlined below: Defining Libraries: Import the important libraries which are required for the creation of the scatter marker ( For visualization: pyplot from matplotlib, For data creation and manipulation: NumPy). In general, we use this Python matplotlib pyplot Scatter Plot to analyze the relationship between two numerical data points by drawing a regression line. In the official documentation you can find an additional parameter, edgecolors, which allows setting the edge color. uniform ( low = 3, high = 6, size = ( 500 ,)) y2 = np. 1 Answer Sorted by: 60 When you use scatter plot, you set a color for both face and edge. ![]() But when I switch to Matplotlib version 1.3.1, 'linewidths' parameter works well. ![]() uniform ( low = 3, high = 6, size = ( 500 ,)) y = np. I'm trying to change the thickness of the marker 'x' when using scatter, but I found the 'linewidths' parameter doesn't work for Matplotlib version 3.1.0. Import aph_objects as go # Generate example data import numpy as np x = np.
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