![]() Let me know if that helps or if there's anything that isn't clear. You can just add the "x =" and "y =" to get the axes properly, or you can rearrange the first two parameters so they're in the right order of x, then y Option 1: Changing the labels-just having the x label correspond to price and y label correspond to area So for the seaborn plot, you can either change the labels or change the arguments. This can be seen with the data colors & axis seeming to look "flipped" from the first example: ![]() To make complex comparisons easier, Seaborn provides a function called relplot, which is short for. seaborn-v08-bright, Axes title, ax.grid(True) seaborn-v08-colorblind. However, since the labels were copy-pasted from the first example, the axis labels corresponded to the wrong axis. Data Visualisation with Python: Seaborn and Scatter Plots. plots: scatter plot, image, bar graph, patches, line plot and histogram. In the first example, doing the scatter plot with matplotlib, the x-axis is Area, and the y-axis is Price, with the labels corresponding to the same.įor the second example, doing the scatter plot with seaborn, the x-axis is Price, and the y-axis is Area. ![]() It provides beautiful default styles and colour palettes to. I believe the video just has the labels/arguments mismatched in the seaborn example. Seaborn is an amazing data visualization library for statistical graphics plotting in Python. To make a scatter plot in Python you can use Seaborn and thescatterplot() method.
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