One method for using personalized arrows in Python to move through various plots is to use the pyplot
module from the matplotlib
library. Here are the general steps to follow:
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
plt.subplots()
and save it in a variable:fig, ax = plt.subplots()
# plot something on ax
def update_plot(button):
# update the plot based on which button was pressed
Button
class from matplotlib.widgets
, and connect each button to the update_plot
function:left_arrow = Button(ax_left_arrow, '<')
left_arrow.on_clicked(update_plot)
right_arrow = Button(ax_right_arrow, '>')
right_arrow.on_clicked(update_plot)
plt.show()
.Here is a more detailed example:
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
# create the first plot
fig, ax = plt.subplots()
ax.plot([1,2,3,4], [1,4,9,16])
# define the update function
def update_plot(button):
current_axis = plt.gca()
current_axis.cla() # clear the current plot
if button == left_arrow:
current_axis.plot([1,2,3,4], [1,4,9,16])
else:
current_axis.plot([5,6,7,8], [25,36,49,64])
plt.draw() # re-draw the plot
# create the arrow buttons
ax_left_arrow = plt.axes([0.4, 0.01, 0.1, 0.05])
left_arrow = Button(ax_left_arrow, '<')
left_arrow.on_clicked(update_plot)
ax_right_arrow = plt.axes([0.5, 0.01, 0.1, 0.05])
right_arrow = Button(ax_right_arrow, '>')
right_arrow.on_clicked(update_plot)
# show the plot
plt.show()
This example creates a simple line plot, and when the left arrow button is pressed, it re-plots the same data. When the right arrow button is pressed, it plots a different set of data. Note that we first get the current axes using plt.gca()
, then call cla()
to clear the current axis, then re-plot the data using plot()
, and finally re-draw the plot using plt.draw()
.
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Asked: 2023-06-06 02:45:46 +0000
Seen: 10 times
Last updated: Jun 06 '23
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