How to interpret the xaxis values of a density histogram when there's an offset

Asked May 06 '23 at 15:57

Active May 06 '23 at 19:19

Viewed 39 times

I have a list of 100000 values, all are around 299800 as shown below.

values = [299850.3 299856.4 299855.9 ... 299843.7 299847.2 299860.9]

When I plot a Probability Density Function (PDF) of these values using matplotlib.pyplot.hist, I am getting the plot whose X-axis and Y-Axis values are confusing. I expect the X-axis values to be binned around 299800 and Y-axis values be the probability of those binned values happening. How to interpret this graph values correctly, appreciate any comments.

plt.hist(values,density=True, bins=30)
plt.xlabel("Values")
plt.ylabel('PDF')
plt.show()

edited May 06 '23 at 19:19

Trenton McKinney

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asked May 06 '23 at 15:57

Srinivas

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The x value 30 means 30 + 2.998E5; the x value 40 means 40 + 2.998E5 and so on... – Joao_PS May 06 '23 at 18:39
I suggest using [Prevent scientific notation](https://stackoverflow.com/q/28371674/7758804), if it's confusing. – Trenton McKinney May 06 '23 at 19:20
@Joao_PS, Simple explanation. I don't know why it did not strike me..:) – Srinivas May 07 '23 at 08:53

How to interpret the xaxis values of a density histogram when there's an offset

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