How to get a bar plot with a condition-CodePudding

I want to plot a bar chart for a list of items. It is a list of string names with frequencies (int) The list is quite long, so I can not manually edit it.

[]                       4291017
['a']                    221943
['b']                    121027
['d']                    100915
['c']                    54344
['g']                    33486

The above was an output of the following command: names = df['names'].explode().value_counts().head(N)

The plot command that I am using is:

names.plot(kind='barh')

How can I plot it for all the values except for the first one, which is basically an empty field? The problem is that I cannot drop it as it is not NaN.

CodePudding user response：

Quick and dirty:

names = df['names'].explode().value_counts().iloc[1:]

will remove the first line ([])