In your case, you're actually wanting to disable the offset. Using scientific notation is a separate setting from showing things in terms of an offset value.
However, ax.ticklabel_format(useOffset=False) should have worked (though you've listed it as one of the things that didn't).
For example:
fig, ax = plt.subplots()
ax.plot(range(2003,2012,1),range(200300,201200,100))
ax.ticklabel_format(useOffset=False)
plt.show()
If you want to disable both the offset and scientific notaion, you'd use ax.ticklabel_format(useOffset=False, style='plain').
Difference between "offset" and "scientific notation"
In matplotlib axis formatting, "scientific notation" refers to a multiplier for the numbers show, while the "offset" is a separate term that is added.
Consider this example:
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(1000, 1001, 100)
y = np.linspace(1e-9, 1e9, 100)
fig, ax = plt.subplots()
ax.plot(x, y)
plt.show()
The x-axis will have an offset (note the + sign) and the y-axis will use scientific notation (as a multiplier -- No plus sign).
We can disable either one separately. The most convenient way is the ax.ticklabel_format method (or plt.ticklabel_format).
For example, if we call:
ax.ticklabel_format(style='plain')
We'll disable the scientific notation on the y-axis:
And if we call
ax.ticklabel_format(useOffset=False)
We'll disable the offset on the x-axis, but leave the y-axis scientific notation untouched:
Finally, we can disable both through:
ax.ticklabel_format(useOffset=False, style='plain')
