CODEWITHSUNDEEP
pythonmatplotlibpandas
Luis Miguel
Luis Miguel

Reputation: 5127

Simple customization of matplotlib/pandas bar chart (labels, ticks, etc.)

I am new to matplotlib and I am trying to use it within pandas to plot some simple charts. I have a DataFrame that contains two labels "score" and "person", derived from another DF.

df1 = DataFrame(df, columns=['score','person'])

Producing this output:

table output

I am trying to create a simple bar chart, to show each person in different color, and this is what I have thus far:

df1.plot(kind='bar', title='Ranking')

bar chart

How can I customize it so the chart shows the person names in the x axis with unique colors and remove the "frame" surrounding the figure? How can I make it a horizontal bar chart?

Thanks in advance for your help.

Upvotes: 10

Views: 10650

Answers (2)

behzad.nouri
behzad.nouri

Reputation: 77941

I guess this will give you the idea:

df = pd.DataFrame({'score':np.random.randn(6),
                   'person':[x*3 for x in list('ABCDEF')]})

ax = plt.subplot(111)
df.score.plot(ax=ax, kind='barh', color=list('rgbkym'), title='ranking')
ax.axis('off')
for i, x in enumerate(df.person):
    ax.text(0, i + .5, x, ha='right', fontsize='large')

for

  person  score
0    AAA   1.79
1    BBB   0.31
2    CCC  -0.52
3    DDD   1.59
4    EEE   0.59
5    FFF  -1.03

you will get:

hbar

Upvotes: 13

MattDMo
MattDMo

Reputation: 102842

Check out the docs for pd.DataFrame.plot() for more info. You'll also definitely want to read up on plotting with matplotlib as well as the matplotlib docs themselves.

Getting a horizontal bar graph is easy, just use `kind='barh'.

Upvotes: -2

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