I have some dataset:
%matplotlib inline
import matplotlib.pyplot as plt
dataset = [28892147.7659855, 28892150.0913124, 28892148.7255983, 28892146.365328,
28892148.101613, 28892147.0887403, 28892147.8564253, 28892146.8626385,
28892146.480244, 28892146.8724146, 28892146.699191, 28892146.405013,
28892146.225238, 28892146.434353, 28892146.3250017, 28892146.344571,
28892146.494564, 28892146.36454, 28892146.8347917, 28892146.20861,
28892146.222876]
plt.plot(dataset)
by what logic matplotlib.pyplot
outputs the value of 2.8892100000e7
?
CodePudding user response:
By default the ScalarFormatter
that is used to set the tick mark labels, will work out an offset value to try and make the tick labels "round" numbers. How the offset is worked out can be found in the _compute_offset
method here. How to turn off the offset is shown in the examples here. One way being, e.g.,
plt.plot(dataset)
# get axes object
ax = plt.gca()
# turn off the offset
ax.ticklabel_format(useOffset=False)