![]() ![]() I have therefore tried to achieve this nice behaviour and to build a legend with round values. which is not as nice having labels with "round" values like in the graph produced by Altair (see 's blog post). However as you can see in the graph built by this leads to values like 82, 733, 1382. For instance if we want 4 bubbles in our legend, a straighforward approach is to use data_max, 0.75 * data_max, 0.5 * data_max and 0.25 * data_max. _init_( data, x, y, s = s, ** kwargs) Building the legendīefore actually building the legend, we must define the sizes and labels of the bubbles to include in the legend. bubble_points * s_grow * size_data / self. # Handle the case where s is a label of a column of the df # The data is normalized to 200 * s_grow size_data = data. Your feedback will be greatly appreciated! There is a possible confusion, if for instance "s=50" and 50 is a column name -> should we use a fixed bubble size of 50, or use the data in the column 50? This does not seem like a serious problem to me, and I think it makes more sense to use the data in the column 50 in this case. Column name -> we grab the data in the corresponding column as bubble sizes.So s can be any of the following when creating a scatter plot from a DataFrame: ![]() Raise TypeError( 's must be of numeric dtype') S = 200 * s_grow * size_data / size_data. ![]() # If s is a label of a column of the df, grab and normalize the data to 200 * s_grow size_data = data. ![]() # Set default size if no argument is given s = 20 elif is_hashable( s) and s in data. _kind = 'scatter' def _init_( self, data, x, y, s = None, s_grow = 1, c = None, ** kwargs): 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. legend( h, l, labelspacing = 1.2, title = "popdensity", borderpad = 1,įrameon = True, framealpha = 0.9, loc = 4, numpoints = 1) cut( midwest, bins = 4, retbins = True)). legend( numpoints = 1, loc = 1, borderpad = 1,įrameon = True, framealpha = 0.9, title = "state") S = 10 + group * 0.1, # hand-wavy :( label = name, ax = ax, color = colors) # Plotting each group for i, ( name, group) in enumerate( groups): # Rescale to values between 0 and 1 for i in range( len( tableau20)): pyplot as plt import pandas as pd midwest = pd. ![]()
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