DataFrame.
hist
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.
matplotlib.pyplot.hist()
plotting.backend.plot()
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.
All other plotting keyword arguments to be passed to matplotlib.pyplot.hist() Koalas.Series.plot.
matplotlib.axes.Axes
numpy.ndarray
Return an ndarray when subplots=True. Return an custom object when backend!=matplotlib.
subplots=True
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)