def countPred_eda(train_data, variableName, targetVariable):
    print(train_data[variableName].describe())
    return ggplot(train_data) +
    aes(targetVariable, variableName, fill = targetVariable) +
    geom_boxplot(alpha = .8) +
    labs(x =  targetVariable, y = variableName) +
    ggtitle("Churn ratio with number_customer_service_calls ")

countPred_eda(train_data, number_customer_service_calls,churn)

count    3333.000000
mean        1.562856
std         1.315491
min         0.000000
25%         1.000000
50%         1.000000
75%         2.000000
max         9.000000
Name: number_customer_service_calls, dtype: float64
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~AppDataLocalcondacondaenvsggpy36libsite-packagesIPythoncoreformatters.py in __call__(self, obj)
    700                 type_pprinters=self.type_printers,
    701                 deferred_pprinters=self.deferred_printers)
--> 702             printer.pretty(obj)
    703             printer.flush()
    704             return stream.getvalue()

~AppDataLocalcondacondaenvsggpy36libsite-packagesIPythonlibpretty.py in pretty(self, obj)
    398                         if cls is not object
    399                                 and callable(cls.__dict__.get('__repr__')):
--> 400                             return _repr_pprint(obj, self, cycle)
    401
    402             return _default_pprint(obj, self, cycle)

~AppDataLocalcondacondaenvsggpy36libsite-packagesIPythonlibpretty.py in _repr_pprint(obj, p, cycle)
    693     """A pprint that just redirects to the normal repr function."""
    694     # Find newlines and replace them with p.break_()
--> 695     output = repr(obj)
    696     for idx,output_line in enumerate(output.splitlines()):
    697         if idx:

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineggplot.py in __repr__(self)
     84         Print/show the plot
     85         """
---> 86         self.draw()
     87         plt.show()
     88         return '<ggplot: (%d)>' % self.__hash__()

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineggplot.py in draw(self, return_ggplot)
    201             if self.figure is not None:
    202                 plt.close(self.figure)
--> 203             raise err
    204
    205         if return_ggplot:

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineggplot.py in draw(self, return_ggplot)
    193                 self._draw_facet_labels()
    194                 self._draw_labels()
--> 195                 self._draw_legend()
    196                 self._draw_title()
    197                 self._draw_watermarks()

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineggplot.py in _draw_legend(self)
    396         Draw legend onto the figure
    397         """
--> 398         legend_box = self.guides.build(self)
    399         if not legend_box:
    400             return

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineguidesguides.py in build(self, plot)
    133             self.spacing = 10
    134
--> 135         gdefs = self.train(plot)
    136         if not gdefs:
    137             return

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineguidesguides.py in train(self, plot)
    203             # so Guides (i.e., the container of guides)
    204             # need not to know about them
--> 205             guide = guide.train(scale)
    206
    207             if guide is not None:

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotnineguidesguide_colorbar.py in train(self, scale)
     76         # position of ticks
     77         limits = scale.limits
---> 78         breaks = scale.get_breaks(strict=True)
     79         breaks = np.asarray(breaks)
     80         breaks = breaks[~np.isnan(breaks)]

~AppDataLocalcondacondaenvsggpy36libsite-packagesplotninescalesscale.py in get_breaks(self, limits, strict)
    622         # minor breaks
    623         if strict:
--> 624             cond = (breaks >= limits[0]) & (limits[1] >= breaks)
    625             breaks = np.compress(cond, breaks)
    626         return np.asarray(breaks)

TypeError: '>=' not supported between instances of 'list' and 'int