![]() ![]() We get a nice colored bubble plot made with matplotlib. Plt.title("Bubble Plot with Colors: Matplotlib", size=18) Here, Colors is the quantitative variable that we created when we constructed the dataframe. And we use the argument c=”Colors” to color the bubble by a variable. The scatter() function has the argument “c” for specifying colors. Let us color the bubbles differently using another variable in the bubble plot. Simple Bubble Plot in Python with Matplotlib Color Bubble Plot By Variable in Python We have also added transparency to the bubbles in the bubble plot using alpha=0.5. By default, Matplotlib makes the bubble color as blue. Python3 import matplotlib.pyplot as plt x 1, 2, 3, 4 y 4, 1, 3, 6 plt. Example: Using the c parameter to depict scatter plot with different colors in Python. A 2-D array in which the rows are RGB or RGBA. ![]() We can see that the points in the scatter plots are bubbles now based on the value of size variable. The possible values for marker color are: A single color format string. Plt.title("Bubble Plot with Matplotlib", size=18) To make bubble plot, we need to specify size argument “s” for size of the data points. Using Matplotlib, we can make bubble plot in Python using the scatter() function. Our customized scatter plot looks like this. The normal way to plot plots with points in different colors in matplotlib is to pass a list of colors as a parameter. Plt.title("Scatter Plot with Matplotlib", size=18) We also add a title to the scatter plot using plt.title(). Here we customize the axis labels and their size using xlabel and ylabel functions. The x and y-axis label sizes are smaller by default, when we make scatter plot using scatter function(). Let us first make a simple scatter plot with Matplotlib using scatter() function. Here we construct dataframe from NumPy arrays using Pandas’ DataFrame function and providing the variables as a dictionary. In the following example, we will draw a scatter plot with 6 (six) data points, and set the colors for the markers with a list of colors, where each color is defined using matplotlib inbuilt color strings.Įxample.py import matplotlib.Let us store the simulated data in a Pandas dataframe. Note: The length of the colors list that we give for named parameter c, should be consistent with the lengths of x and y. plt.xlim (rightxmax) xmax is your value plt.xlim (leftxmin) xmin is your value plt.ylim (topymax) ymax is your value plt.ylim (bottomymin) ymin is your value. (x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs) If you want to set only one of the boundaries of the axis and let the other boundary unchanged, you can choose one or more of the following statements. The following is definition of scatter() function with c parameter, at fourth position, whose default value is None. ![]() We can specify the color in Hex format, or matplotlib inbuilt color strings, or an integer. To set color for markers in Scatter Plot in Matplotlib, pass required colors for markers as list, to c parameter of scatter() function, where each color is applied to respective data point.
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