pythonpandasmatplotlibscientific-notationyticks

How to control scientific notation in matplotlib?

This is my data frame I'm trying to plot:

my_dic = {'stats': {'apr': 23083904, 'may': 16786816, 'june': 26197936}}
my_df = pd.DataFrame(my_dic)

This is how I plot it:

ax = my_df['stats'].plot(kind='bar',  legend=False)
ax.set_xlabel("Month", fontsize=12)
ax.set_ylabel("Stats", fontsize=12)
ax.ticklabel_format(useOffset=False) #AttributeError: This method only works with the ScalarFormatter.
plt.show()

The plot:

enter image description here

I'd like to control the scientific notation. I tried to suppress it by this line as was suggested in other questions plt.ticklabel_format(useOffset=False) but I get this error back -

AttributeError: This method only works with the ScalarFormatter

Ideally, I'd like to show my data in (mln).

Solution

  • Adding this line helps to get numbers in a plain format but with ',' which looks much nicer:

    ax.get_yaxis().set_major_formatter(
    matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x), ',')))

    enter image description here

    And then I can use int(x)/ to convert to million or thousand as I wish:

    enter image description here