- Add data labels to a scatter plot matplotlib code#
- Add data labels to a scatter plot matplotlib series#
While Excel includes a legend automatically when you create the scatter plot, there are a number of ways to delete it if your legend is missing you can get it back through the “Layout” tab.
Add data labels to a scatter plot matplotlib series#
The legend on an Excel scatter plot is simply a list of the names for each of the series on the chart. However, there are many use cases for labeling data with other types of labels….Data Science: Most commonly, data is annotated with a text label. How do you add a label to a scatter plot in Python?
Related Article – Matplotlib Scatter Plot.Add Label to Scatter Plot Points Using the matplotlib.Text() function to add the text labels to the scatterplot points. How do you show labels on a scatter plot in Python? Scatter plots are used to observe relationships between variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. fig, ax = plt.subplots(figsize=(12,8)) plt.plot(x, y) plt.xlabel("x values", size=12) plt.ylabel("y values", size=12) plt.title("Learning more about pyplot with random numbers chart", size=15) for index in range(len(x)): ax.text(x, y, y, size=12) plt.xticks(x, size=12) plt.yticks(, size=12) plt.grid() plt.A scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables. This is achieved by calling plt.grid() as seen below. Also, as a final touch to the plot I would like to add grid lines as well. This can be done by adding the x values as parameter to plt.xticks() and the values 0 to 19 in a list as a parameter for plt.yticks().
I think that the readability of the plot could be improved further by increasing the frequency of the x and y ticks to match the actual values of x and the possible values of y. Tip: If you think that the values on the plot are hard to read because they are directly on top of the plotted line you can simply add a small amount to the y position parameter in ax.text().
Add data labels to a scatter plot matplotlib code#
We see the result of the above code snippet below. The third parameter is the actual value that the text should have, and finally the size parameter decides the font size of the text.īy looping through range(len(x)) we create 20 texts. The first two parameters represent the x and y coordinate of the text. The ax object is a subplot which we can use to add texts to the plot.Īx.text() allows us to add a text to the plot at a given location. The fig object is used to modify the figure, but we will not explore that further in this post. The first line makes a call to plt.subplots() which creates two objects for us and stores them in fig and ax. fig, ax = plt.subplots(figsize=(12,8)) plt.plot(x, y) plt.xlabel("x values", size=12) plt.ylabel("y values", size=12) plt.title("Learning more about pyplot with random numbers chart", size=15) for index in range(len(x)): ax.text(x, y, y, size=12) plt.show() The newly added lines of code are written in bold font. But before we can do that we first need to add an additional line of code at the beginning. We can introduce them by adding texts in a loop that represent the y-value for every x coordinate. We are still missing the values for the y values on the data points themselves.
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