使用Pandas Value_Counts和matplotlib

Question

I have used Pandas's value_counts function to provide counts of unique values:

CountStatus = pd.value_counts(df['scstatus'].values, sort=True)

Output:
200    133809
304      7217
404      2176
302       740
500       159
403         4
301         1
dtype: int64

I now want to plot these values using matplotlib ie "plt.barh(CountStatus)", however I keep getting the error: ValueError: incompatible sizes: argument 'width' must be length 7 or scalar.

I'm guessing this may have something to do with the left hand column being an index column. Is there a way around this to obtain a horizontal bar chart? Do I need to convert it or specify something else in the function?

Thanks

Answer 1

I think you can use barh :

CountStatus.plot.barh()

Sample:

CountStatus = pd.value_counts(df['scstatus'].values, sort=True)
print CountStatus
AAC    8
AA     7
ABB    4
dtype: int64

CountStatus.plot.barh()