So you should be able to: ax df.plot (kind'scatter', xxcol, yycol, style 'o', 'rx', s12) This is also illustrated in the pandas visualization docs. As you can see here, there's an argument s for the dot size. If you are stuck on an older version of matplotlib, you can still achieve the result by overlaying a scatterplot on the line plot. The ot () docs include the option to pass keyword arguments to the underlying matplotlib plotting method. swarmplot Plot a categorical scatter with non-overlapping points. This last example using the markevery kwarg is possible in since 1.4+, due to the merge of this feature branch. stripplot Plot a categorical scatter with jitter.
Plt.plot(xs, ys, '-gD', markevery=markers_on, label='line with select markers') Here is a list of the possible line and marker styles: =Įdit: with an example of marking an arbitrary subset of points, as requested in the comments: import numpy as np It needs two arrays of the same length, one for the values of the x-axis, and one for values on the y-axis: Example Get your own Python Server A simple scatter plot: import matplotlib.pyplot as plt import numpy as np x np. If x and/or y are 2D arrays a separate data set will be drawn for every column. Example: > plot(x1, y1, 'bo') > plot(x2, y2, 'go') Copy to clipboard. The most straight forward way is just to call plot multiple times. Python3 import matplotlib.pyplot as plt data1 1, 2, 3, 4, 5 data2 0, 0, 0, 0, 0 sizes 10, 20, 30, 40, 50 plt.scatter (data1, data2, sizes) plt. There are various ways to plot multiple sets of data.
It takes 3 parameters 2 data points and a list of marker point sizes.
Specify the keyword args linestyle and/or marker in your call to plot.įor example, using a dashed line and blue circle markers: plt.plot(range(10), linestyle='-', marker='o', color='b', label='line with marker')Ī shortcut call for the same thing: plt.plot(range(10), '-bo', label='line with marker') The scatter () function plots one dot for each observation. scatter is a method present in matplotlib library which is used to set individual point sizes.
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