How do I include negative numbers in xticks, using matplotlib.pyplot?

Question

I have a DataFrame that looks something like this:

df = [4, -1, 5, -32, 4, -32, -1]

I want to set the xticks like this:

tick_locs = [-30, -10, 0, 10, 30, 100, 300, 1000, 3000]
plt.xticks(tick_locs, tick_locs)

That gives me a weird graph:

I can set the ticks to all positive, but that won't give me negative numbers on the x-axis:

tick_locs = [10, 30, 100, 300, 1000, 3000]
plt.xticks(tick_locs, tick_locs)

Any idea how to get the negative ticks marks?

P.S. The data is set up as logged, but the x-axis is set to show the actual numbers:

bin_edges = 10 ** np.arange(-0.1, np.log10(planes_df['ArrDelay'].max())+0.1, 0.1)
plt.hist(planes_df['ArrDelay'], bins = bin_edges)
plt.xscale('log')
tick_locs = [10, 30, 100, 300, 1000, 3000]
plt.xticks(tick_locs, tick_locs)

Are you trying to show negative numbers on a logarithmic scale? How is this supposed to work? — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Nov 10, 2019 at 23:13
Maybe you can explain in your own words where on a logarithmic scale you would expect negative numbers to show up and why. — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Nov 10, 2019 at 23:28
@ImportanceOfBeingErnest I can't explain how. Should I just not use a histogram? I can display this as a bar chart. — rachelvsamuel
– rachelvsamuel, Commented Nov 10, 2019 at 23:41

Seb · Accepted Answer · 2019-11-11 11:45:14Z

1

Try removing the line plt.xscale('log'). This will make the x-axis scale linear. A logarithmic axis cannot display non-positive values, as log(x) is undefined for x <= 0.

answered Nov 11, 2019 at 11:45

Seb

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