Draw scatter plot matplotlib how to#

Draw scatter plot matplotlib how to#

Let’s see how to use it with the help of an example. If we want to increase the height of the data points, we can use the size parameter ‘s’ in the scatter-plot method. In the scatter-plot method, we have introduced an optional parameter, ‘c’, which denotes the color of the data points.After that, we have defined tree_height as a list, and this list contains those tuple values, which are nothing but the colors green, yellow, and red.The tuples have high, medium, and low mean red, yellow, and green colors. Each tuple contains three values representing the red, green, and blue color components. Here, we have defined the variables small, medium, and large as a tuple.Plt.scatter(height, diameter, c = tree_height) If we want to show the data points in colors, we can use the color parameter that is ‘c’ in the scatter-plot method. We can customize the marker argument in a scatter-plot method in different ways. Now, let us deep dive into the Scatter Plot method of customizing Scatter Plots or Advance Scatter Plot. The Scatter method takes at least two parameters, nothing but data on the x-axis and y-axis. pyplot After that, we gave sample data on the height and diameter of the tree in a list format and then used the scatter method to create a scatter plot. Alias, plt, is nothing but a short-form of matplotlib. Height = ĭiameter = įirstly, we have imported the matplotlib library because, in matplotlib, only the scatter-plot method is present and given an alias as plt. In a city, there are multiple trees and the city administration wants to visualize these data. Let’s take the example of a few sample tree datasets.

Here is the syntax of a scatter plot that is in the matplotlib library: (x_axis, y_axis, s=None, c=None, marker=None, cmap=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs) Simple Scatter Plot Now, let us see how to plot these graphs. In other words, we can say there is a strong positive correlation. As the diameter of trees increases, their height also increases linearly. If we observe closely, we can see a linear relationship between the height and diameter of the trees. We can see on the x-axis that the diameter of trees is in cm, that is, the diameter (cm) is plotted, and on the y-axis, the height of trees is in a meter, that is, the height (m) are plotted. It displays the data points of some sample trees.

The above figure shows an example of a scatter plot.