databricks.koalas.DataFrame.plot.hist

plot.hist(bins=10, **kwds)

Make a histogram of the DataFrame’s. A histogram is a representation of the distribution of data. This function calls matplotlib.pyplot.hist(), 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().

Returns

matplotlib.AxesSubplot or numpy.ndarray of them

See also

matplotlib.pyplot.hist

Plot a histogram using matplotlib.

Examples

When we draw a dice 6000 times, we expect to get each value around 1000 times. But when we draw two dices and sum the result, the distribution is going to be quite different. A histogram illustrates those distributions.

>>> 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.DataFrame.plot.bar databricks.koalas.DataFrame.plot.line