Next, we assigned that colors array to c to generate random colors to markers. Here, we defined two Radom integer arrays and a random array for colors. However, you can use multiple colors or individual colors to each marker using the color argument. In the previous Python scatter plot examples, we used a single color for all the markers associated with the axis values. import matplotlib.pyplot as pltįix, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize = (8, 4))Īx1.scatter(x, y, marker = '+', color = 'red')Īx2.scatter(x, y, marker = '^', color = 'blue')Īx3.scatter(x, y, marker = '$\clubsuit$', color = 'green', Here, we are trying to showcase three other available markers in it. Market_data = df.groupby('Order Date')].sum() I suggest you refer matplotlib article to understand the list of available markers. Here, we changed the shape of the marker to *. In this Python scatter plot example, we change the marker color to red and opacity to 0.3 (bit lite).Īpart from this, you can use markers argument to change the default marker shape. However, you can change the marker colors using color argument, and the opacity by alpha argument. In all our previous examples, you can see the default color of blue. Plt.show() Python Scatter plot color and Marker In this Python matplotlib scatter plot example, we used the xlable, ylabel, and title functions to show X-Axis, Y-Axis labels, and chart titles. We already mentioned in previous charts about labeling the charts. Sales_data = df.groupby('Order Date')].sum() import pandas as pdĭf = pd.read_excel('/Users/suresh/Downloads/Global_Superstore.xls') Next, we are drawing a Python matplotlib scatter plot by using Profit in X-Axis and Sales in Y-Axis. In this example, we were reading the CSV file and converted it into DataFarme. Plt.show() matplotlib Scatter Chart using CSV Here, we used Python randint function to generate 50 random integer values from 5 to 50 and 100 to 1000 for x and y.
Next, we used the pyplot function to draw a scatter plot of x against y. This is a simple python scatter plot example where we declared two lists of random numeric values. y: List of arguments represents Y-Axis.x: list of arguments that represents the X-axis.The basic syntax to draw matplotlib pyplot scatter plot is (x, y) The matplotlib pyplot module has a function, which will draw or generate a scatter plot in Python.
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