scatter plot matplotlib with labels for each point

Scatter plot matplotlib with labels for each point how to#
Scatter plot matplotlib with labels for each point code#

Sizes, labels=self._legend_bubbles(data_max, s_grow, bubble_points)īubbles.append(ax.scatter(,, s=size, color='white', edgecolor='gray'))īubble_legend=legend.Legend(ax, handles=bubbles, labels=labels, loc='lower right') After building the legend for the bubbles, we call the _make_legend method of the parent. we compute bubble sizes corresponding to these labels, that is bubble_points * s_grow * 3e3 / 2678.0588199999 etcįinally, we put all the pieces together in a _make_legend method which is specific to the ScatterPlot class.we compute the labels which are 3e3, 1e3, 0.5e3 and 0.2e3.2.6 lies between 2.5 and 3.5, so in the labels_catalog we pick.we compute mantissa (2.6) and exponent (3.0).In our exemple with population density, the maximum of popdensity is 2678.0588199999.

The first list gives 4 bubbles sizes (in points) and the second list the 4 corresponding labels.

Sizes = list(bubble_points * s_grow * labels / data_max) Labels = np.array(labels_catalog) * 10**expnt Midwest = midwest = lower_bound) & (coef < upper_bound): Taking the same data as in his example above, this is what I have now: import matplotlib.pyplot as plt I’ve made progress with the sizes, haven’t looked at colors yet. Or, a function that would work out of the box for such plots. If this will not make it into the API, it still might be useful to have a detailed example in the cookbook. I was wondering, if the use case is important enough to introduce changes in the API for scatter plot, so that color_by and size_by arguments can be passed? I understand that the same set of arguments are used across different plots, and a size_by will not make sense for many plots. Plt.legend(h, l, labelspacing=1.2, title='popdensity', borderpad=1,įrameon=True, framealpha=0.9, loc=4, numpoints=1) H, l = plt.gca().get_legend_handles_labels() Pws = (pd.cut(midwest, bins=4, retbins=True)).round(0) Lgd = ax.legend(numpoints=1, loc=1, borderpad=1,įrameon=True, framealpha=0.9, title='state')

Scatter plot matplotlib with labels for each point code#

Code Sample, a copy-pastable example if possible import matplotlib.pyplot as plt

Scatter plot matplotlib with labels for each point how to#

The code below shows how to make a similar plot. I wrote a blog post(hand-wavy at times- marker size legend) on how to generate such a plot in Pandas. Such cases are often needed as evidenced by questions on Stack Overflow. Here, if c is a categorical, we get a discrete set of colours and corresponding legend, else a continuous scale. We want to make a scatter plot, with x=a, y=b, color_by=c and size_by=d. Use case: Say we have a df with 4 columns- a, b, c, d.