DataFrame.
hist
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.
matplotlib.pyplot.hist()
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().
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)