Disable scientific notation and offset in pandas .plot() function

Question

I have a dataframe df with 2 columns I want to plot together and days as index:

           | col1  | col2   | col3 | ...
2020-01-01 | 1     | 300000 | ...
2020-01-02 | 1000  | 600000 | ...
2020-01-03 | 3000  | 50000  | ...

Plotting col1 + col2 via

df[["col1", "col2"]].plot()

shows values from 0 till 1.0 and at the top "1e6" like in this example: https://i.stack.imgur.com/tJjgX.png

I want the full value range on the y-axis and no scientific notation. How can I do this via pandas.plot() or matplotlib?

Answer 1

You have several options:

Option One: With Matplotlib

axes=fig.add_axes([0,0,1,1])
axes.set_xticks() # with list or range() inside
axes.set_yticks() # with list or range() inside

#You can also label the ticks with your desired values
axes.set_xticklabels() # with list or range() inside
axes.set_yticklabels() # with list or range() inside

Option Two: Change Pandas settings

pd.set_option('display.float_format', lambda x: '%.3f' % x)

or

pd.options.display.float_format = '{:.2f}'.format

I believe option one is better since you need it only for the graph and don't necessarily want to modify your dataframe columns.

Cheers!

Answer 2

You can try changing the axes.formatter.limits property of rcParams :

plt.rcParams["axes.formatter.limits"] = (-5, 12)

Matplotlib uses scientific notation if log10 of the axis range is smaller than the first or larger than the second.

Answer 3

Use .set_ylim([min,max]) for setting the y axis limit of the plot