# Visualizing Freqency Distribution screen 7

Hello,

My Code:

``````from numpy import arange
print(wnba['Games Played'].describe())

wnba['Games Played'].plot.hist(grid = True, xticks = arange(2,33,3))
print(wnba['Games Played'].value_counts(bins=10).sort_index())

``````

What I expected to happen:
I don’t understand the output of the above code
Can someone please explain why the output from the generated frequency table dont match with the histogram? For example: in the frequency table, there are 31 players in the interval between (29.0, 32.0], but i’m seeing 61 in the histogram.

maybe, i’m missing something out.
can someone clarify this?

Hi @smartychiz:

Remember that `arange()` takes the arguments `start`, `stop`, `step`. Look carefully at the requirements for xticks. It starts at 0 (see the 2 zeros at the base of the axes), ends at 35 and each step is 5. Since the `stop` argument is not inclusive of the specified value, if we specify `35`, it would stop at `34`.

Thus the solution will be:

``````from numpy import arange
print(wnba['Games Played'].describe())

# 2nd arg is 36 for "actual" stop value to be 35.
wnba['Games Played'].plot.hist(xticks = arange(0,36,5))
print(wnba['Games Played'].value_counts(bins=10).sort_index())
``````

You will also not need to specify `grid=True` as it is not required in the expected diagram below. Besides, `grid` is set to `False` by default.

Hope this clarifies!

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Hi @smartychiz: If my answer helped you, do you mind marking it as the solution? Thanks!