mars.dataframe.DataFrame.plot.hexbin#
- DataFrame.plot.hexbin(*args, **kwargs)#
Generate a hexagonal binning plot.
Generate a hexagonal binning plot of x versus y. If C is None (the default), this is a histogram of the number of occurrences of the observations at
(x[i], y[i])
.If C is specified, specifies values at given coordinates
(x[i], y[i])
. These values are accumulated for each hexagonal bin and then reduced according to reduce_C_function, having as default the NumPy’s mean function (numpy.mean()
). (If C is specified, it must also be a 1-D sequence of the same length as x and y, or a column label.)- 参数
C (int or str, optional) – The column label or position for the value of (x, y) point.
reduce_C_function (callable, default np.mean) – Function of one argument that reduces all the values in a bin to a single number (e.g. np.mean, np.max, np.sum, np.std).
gridsize (int or tuple of (int, int), default 100) – The number of hexagons in the x-direction. The corresponding number of hexagons in the y-direction is chosen in a way that the hexagons are approximately regular. Alternatively, gridsize can be a tuple with two elements specifying the number of hexagons in the x-direction and the y-direction.
**kwargs – Additional keyword arguments are documented in
DataFrame.plot()
.
- 返回
The matplotlib
Axes
on which the hexbin is plotted.- 返回类型
matplotlib.AxesSubplot
参见
DataFrame.plot
Make plots of a DataFrame.
matplotlib.pyplot.hexbin
Hexagonal binning plot using matplotlib, the matplotlib function that is used under the hood.
实际案例
The following examples are generated with random data from a normal distribution.
(Source code, png, hires.png, pdf)
The next example uses C and np.sum as reduce_C_function. Note that ‘observations’ values ranges from 1 to 5 but the result plot shows values up to more than 25. This is because of the reduce_C_function.