Making a barplot from pandas Dataframe column

Question

I am trying to make a simple bar chart: the height being frequencies of values in a Dataframe column

I have been running into this error: ValueError: incompatible sizes: argument 'height' must be length 1 or scalar

Code:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pylab as pl
matplotlib.style.use('ggplot')
flags = [200, 201, 211, 237, 239, 250, 254, 255]
frequencies = [158,  87,   5,   4]
length = len(flags)
plt.bar(length, frequencies.values, align='center')
plt.show()

When you say "height being frequencies of values" I hear "histogram". If you indeed want a histogram, pandas has a method built in for creating those: df['foo'].hist() — dagrha
– dagrha, Commented Dec 4, 2016 at 4:24

roman · Accepted Answer · 2016-12-03 20:40:54Z

3

Well as far as I can see in the documentation of matplotlib.pyplot.bar, arguments left and height must be the same length:

>>> plt.bar(range(len(frequencies)), frequencies, align='center')
>>> plt.show()

answered Dec 3, 2016 at 20:40

roman

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KatieRose1029 Over a year ago

thank you, that's what i thought may have been the issues but i was not sure

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