Numpy & Pandas: Return histogram values from pandas histogram plot?

Question

I know that I can plot histogram by pandas:

df4 = pd.DataFrame({'a': np.random.randn(1000) + 1})
df4['a'].hist()

But how can I retrieve the histogram count from such a plot?

I know I can do it by (from Histogram values of a Pandas Series)

count,division = np.histogram(df4['a'])

But get the count value after df.hist() using this feels very redundent. Is it possible to get the frequency value directly from pandas?

Answer 1

The quick answer is:

pd.cut(df4['a'], 10).value_counts().sort_index()

From the documentation:

bins: integer, default 10
Number of histogram bins to be used

So look at pd.cut(df4['a'], 10).value_counts()

You see that the values are the same as from np.histogram