What to do with missing values ​​when plotting with the seabed?

Question

I replaced the missing NaN values ​​using the following lambda function:

data = data.applymap(lambda x: np.nan if isinstance(x, basestring) and x.isspace() else x)

where data is the data frame I'm working on.

Using the sea castle afterwards, I tried to build one of its attributes using alabonsumption using seaborn.distplot as follows:

seaborn.distplot(data['alcconsumption'],hist=True,bins=100)
plt.xlabel('AlcoholConsumption')
plt.ylabel('Frequency(normalized 0->1)')

This gives me the following error:

AttributeError: max must be larger than min in range parameter.