Removing Scatterplot MatPlotLib

I am trying to delete some data plotted as a scatter plot on matplotlib in python. I am plotting some scatter data and some "plot" line data

To remove the "plot" line data, I use: del self.plot1.lines[0]

What is the equivalent command to delete a scatter plot ? I can't seem to find it.


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2 answers

Oz123's answer partially answers this question, but his solution will inflate the size of your graph in memory linearly. If you are dealing with a lot of data, this is not an option.

Fortunately, one of the scatter object's methods is remove


If you change the line abc.set_visible(False)

to abc.remove()

, the results look the same, except that the scatterplot is now actually removed from the graph rather than set to invisible.



The scatter plot is actually a bunch of lines (the circles must be precise).

if you save the scatter plot in an object that you can access its properties one of them is called set_visible. Here's an example:

make a scatter plot with varying color and size arguments
code mostly from:
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.cbook as cbook

# load a numpy record array from yahoo csv data with fields date,
# open, close, volume, adj_close from the mpl-data/example directory.
# The record array stores python as an object array in
# the date column
datafile = cbook.get_sample_data('/usr/share/matplotlib/sampledata/goog.npy')
#datafile = /usr/share/matplotlib/sampledata
r = np.load(datafile).view(np.recarray)
r = r[-250:] # get the most recent 250 trading days

delta1 = np.diff(r.adj_close)/r.adj_close[:-1]

# size in points ^2
volume = (15*r.volume[:-2]/r.volume[0])**2
close = 0.003*r.close[:-2]/0.003*[:-2]

fig = plt.figure()
ax = fig.add_subplot(111)
## store the scatter in abc object
abc=ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.75)
### if you comment that line of set False to True, you'll see what happens.
#ticks = arange(-0.06, 0.061, 0.02)

ax.set_xlabel(r'$\Delta_i$', fontsize=20)
ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=20)
ax.set_title('Volume and percent change')




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