pandas.DataFrame.plot.hist¶
-
DataFrame.plot.
hist
(by=None, bins=10, **kwds)[source]¶ Draw one histogram of the DataFrame’s columns.
A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins and draws all bins in one
matplotlib.axes.Axes
. This is useful when the DataFrame’s Series are in a similar scale.Parameters: by : str or sequence, optional
Column in the DataFrame to group by.
bins : int, default 10
Number of histogram bins to be used.
**kwds
Additional keyword arguments are documented in
pandas.DataFrame.plot()
.Returns: - axes : matplotlib.AxesSubplot histogram.
See also
DataFrame.hist
- Draw histograms per DataFrame’s Series.
Series.hist
- Draw a histogram with Series’ data.
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) >>> ax = df.plot.hist(bins=12, alpha=0.5)