Here, we have taken three arrays containing x, y and label data. The plt.annotate() method is used to annotate the point x and y with a text label. Linewidths=1) # Size of edge around the dots In the above example, we have specified a single color, but we can also specify some random colors for representing data.
Here, we have specified a specific color and marker style to each point - import matplotlib.pyplot as plt
S - square, o - circle, d - diamond, p - pentagon, h - hexagon, 8 - Octagon, + - plus, X - cross. These are the some available marker values. The function adds text s at the point specified by x and y, where x represents. Iterating through all rows of the original DataFrame. We are using Python's list comprehensions. The addition of the labels to each or all data points happens in this line: plt.text(xrow'avgincome', yrow'happyScore', srow'country') for k,row in df.iterrows() if 'Europe' in row.region Copy. (x, y, s, fontdictNone, kwargs) Here, x and y represent the coordinates where we need to place the text, and s is the content of the text that needs to be added. Add text labels to Data points in Scatterplot. Marker - It specifies the marker to use to plot the points. Add Label to Scatter Plot Points Using the () Function. to the plot, so further matplotlib functions, such as adding titles, axis labels. Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped. A 2D array in which the rows are RGB or RGBA.
#Label each point scatter plot matplotlib how to#
It can be a single value or a list of colors eventually of the same size of X and Y. import matplotlib.pyplot as plt If you have not installed this library, you can read this tutorial to learn how to install. As you can see we immediately get a scatterplot of the UMAP embedding. A scalar or sequence of n numbers to be mapped to colors using cmap and norm. With the first command above, you will need to issue every pyplot command as per following. It can be a single value or an array of the same size of X and YĬ - It specifies the points color. S - the size of the markers in pixel*pixel. import matplotlib.pyplot as plt allPoints 1,3,9, 2,4,8, 3,5,4 f, diagram plt.subplots (1) for i in range (3): pointRefNumber allPoints i 0 xPoint allPoints i 1 yPoint allPoints i 2 diagram. The scatter() function has the following syntax - plt.scatter(x, y, s, c, marker) Based on this SO answer I tried to use annotate to label each point.
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