Prevent Scientific Notation in Matplotlib.Pyplot

prevent scientific notation in matplotlib.pyplot

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').

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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')

What is the syntax for preventing scientific notation in matplotlib?

from matplotlib import pyplot as plt
plt.bar(ords_prods_merge['order_dow'].value_counts())
plt.ticklabel_format(style='plain')    # prevents scientific notation
plt.show()

How to suppress scientific notation when printing float values?

'%f' % (x/y)

but you need to manage precision yourself. e.g.,

'%f' % (1/10**8)

will display zeros only.

details are in the docs

Or for Python 3 the equivalent old formatting or the newer style formatting

How to prevent numbers being changed to exponential form in Python matplotlib figure

The formatting of tick labels is controlled by a Formatter object, which assuming you haven't done anything fancy will be a ScalerFormatterby default. This formatter will use a constant shift if the fractional change of the values visible is very small. To avoid this, simply turn it off:

plt.plot(arange(0,100,10) + 1000, arange(0,100,10))
ax = plt.gca()
ax.get_xaxis().get_major_formatter().set_useOffset(False)
plt.draw()

If you want to avoid scientific notation in general,

ax.get_xaxis().get_major_formatter().set_scientific(False)

Can control this with globally via the axes.formatter.useoffset rcparam.

Suppress scientific notation offsetText in matplotlib

To avoid the text going wrong with a common multiplier of 1e7 or higher, it is best to divide the values by 1 million. A handy way is to use the tick formatter:

import matplotlib.pyplot as plt

fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(12, 4))
ax1.plot([0, 1.5e6])
ax1.yaxis.set_major_formatter(lambda x, pos: f'{x / 1e6:.1f}')
ax1.set_ylabel('incidents (millions/year)')
ax2.plot([0, 1.5e7])
ax2.yaxis.set_major_formatter(lambda x, pos: f'{x / 1e6:.1f}')
ax2.set_ylabel('incidents (millions/year)')
plt.tight_layout()
plt.show()

Note that in older matplotlib versions you can't directly set a formatter function, and an explicit FuncFormatter is needed.

Unable to turn off scientific notation in Matplotlib

Setting useOffset=False, will do it, like this:

plt.ticklabel_format(style='plain', useOffset=False)

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