databricks.koalas.Series.hist

Series.hist(bins=10, **kwds) → matplotlib.axes._axes.Axes

Draw one histogram of the DataFrame’s columns. A histogram is a representation of the distribution of data. This function calls matplotlib.pyplot.hist() or plotting.backend.plot(), on each series in the DataFrame, resulting in one histogram per column.

Parameters

binsinteger or sequence, default 10

Number of histogram bins to be used. If an integer is given, bins + 1 bin edges are calculated and returned. If bins is a sequence, gives bin edges, including left edge of first bin and right edge of last bin. In this case, bins is returned unmodified.

**kwds

All other plotting keyword arguments to be passed to matplotlib.pyplot.hist() Koalas.Series.plot.

Returns

axesmatplotlib.axes.Axes or numpy.ndarray

Return an ndarray when subplots=True. Return an custom object when backend!=matplotlib.

Examples

Basic plot.

For Series:

>>> s = ks.Series([1, 3, 2])
>>> ax = s.plot.hist()

For DataFrame:

>>> df = pd.DataFrame(
...     np.random.randint(1, 7, 6000),
...     columns=['one'])
>>> df['two'] = df['one'] + np.random.randint(1, 7, 6000)
>>> df = ks.from_pandas(df)
>>> ax = df.plot.hist(bins=12, alpha=0.5)

databricks.koalas.Series.plot.kde databricks.koalas.Series.to_pandas