unsupported operand type(s) for /: 'str' and 'int' Error for boxplot

[soft]

I can't plot the boxplot for Gender and Age. Anybody know why?

1	df.boxplot(by ='Gender', column =['Age'])

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--------------------------------------------------------------------------- TypeError                                 Traceback (most recent call last) <ipython-input-34-6c670e351f01> in <module>       1 #boxplot = df.boxplot(column=['Age'])       2 ----> 3 boxplot = df.boxplot(by ='Gender', column =['Age'])       4 boxplot   ~\anaconda3\lib\site-packages\pandas\plotting\_core.py in boxplot_frame(self, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, backend, **kwargs)     434 ):     435     plot_backend = _get_plot_backend(backend) --> 436     return plot_backend.boxplot_frame(     437         self,     438         column=column,   ~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\boxplot.py in boxplot_frame(self, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, **kwds)     362     import matplotlib.pyplot as plt     363 --> 364     ax = boxplot(     365         self,     366         column=column,   ~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\boxplot.py in boxplot(data, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, **kwds)     314         # Prefer array return type for 2-D plots to match the subplot layout     315         # https://github.com/pandas-dev/pandas/pull/12216#issuecomment-241175580 --> 316         result = _grouped_plot_by_column(     317             plot_group,     318             data,   ~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\boxplot.py in _grouped_plot_by_column(plotf, data, columns, by, numeric_only, grid, figsize, ax, layout, return_type, **kwargs)     204         gp_col = grouped[col]     205         keys, values = zip(*gp_col) --> 206         re_plotf = plotf(keys, values, ax, **kwargs)     207         ax.set_title(col)     208         ax.set_xlabel(pprint_thing(by))   ~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\boxplot.py in plot_group(keys, values, ax)     285         keys = [pprint_thing(x) for x in keys]     286         values = [np.asarray(remove_na_arraylike(v)) for v in values] --> 287         bp = ax.boxplot(values, **kwds)     288         if fontsize is not None:     289             ax.tick_params(axis="both", labelsize=fontsize)   ~\anaconda3\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*args, **kwargs)     294                 f"for the old name will be dropped %(removal)s.")     295             kwargs[new] = kwargs.pop(old) --> 296         return func(*args, **kwargs)     297     298     # wrapper() must keep the same documented signature as func(): if we   ~\anaconda3\lib\site-packages\matplotlib\__init__.py in inner(ax, data, *args, **kwargs)    1563     def inner(ax, *args, data=None, **kwargs):    1564         if data is None: -> 1565             return func(ax, *map(sanitize_sequence, args), **kwargs)    1566    1567         bound = new_sig.bind(ax, *args, **kwargs)   ~\anaconda3\lib\site-packages\matplotlib\axes\_axes.py in boxplot(self, x, notch, sym, vert, whis, positions, widths, patch_artist, bootstrap, usermedians, conf_intervals, meanline, showmeans, showcaps, showbox, showfliers, boxprops, labels, flierprops, medianprops, meanprops, capprops, whiskerprops, manage_ticks, autorange, zorder)    3625             bootstrap = rcParams['boxplot.bootstrap']    3626 -> 3627         bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,    3628                                        labels=labels, autorange=autorange)    3629         if notch is None:   ~\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py in boxplot_stats(X, whis, bootstrap, labels, autorange)    1203    1204         # arithmetic mean -> 1205         stats['mean'] = np.mean(x)    1206    1207         # medians and quartiles   <__array_function__ internals> in mean(*args, **kwargs)   ~\anaconda3\lib\site-packages\numpy\core\fromnumeric.py in mean(a, axis, dtype, out, keepdims)    3332             return mean(axis=axis, dtype=dtype, out=out, **kwargs)    3333 -> 3334     return _methods._mean(a, axis=axis, dtype=dtype,    3335                           out=out, **kwargs)    3336   ~\anaconda3\lib\site-packages\numpy\core\_methods.py in _mean(a, axis, dtype, out, keepdims)     161             ret = ret.dtype.type(ret / rcount)     162     else: --> 163         ret = ret / rcount     164     165     return ret   TypeError: unsupported operand type(s) for /: 'str' and 'int'

Sample of dataframe

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Product Branch  Age Gender  Education   MaritalStatus   Usage   Fitness Income  Miles 0   M1  West    18  Male    14  Single  na  4   29562   112 1   M1  East    19  Male    15  Single  2   3   31836   75 2   M1  West    19  Female  14  Partnered   4   3   30699   66 3   M1  South   na  na  na  na  na  na  na  na 4   M1  West    19  Male    12  Single  na  3   32973   85

[soft]

I have edited the qns.