Visualize data with Pandas

Get the xls data for this tutorial from: depaul.edu. This dataset contains a list of US presidents, associated parties,profession and more.

Python Pandas Dataset

Related course
Data Analysis with Python Pandas

Beautiful Plots with Pandas
We can plot data of this large excel file with a few lines of code. We select the column “Occupation” for this demonstration using:

df['Occupation'].

Full code:

from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pd 

file = r'data/Presidents.xls'
df = pd.read_excel(file)

# plot data
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral','red','green','blue','orange','white','brown']
df['Occupation'].value_counts().plot(kind='pie',title='Occupation by President',colors=colors)
plt.show()

Data cleaning and plotting
We can also plot the popularity by president. Before we do that, we need to clean some data:

Data cleaning with Pandas

Some of the cells do not contain numerical values, we can either remove them or replace them:

#df = df.replace('NA()',0)
df = df[df['% popular'] != 'NA()']

To plot the popularity:

from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pd 

file = r'data/Presidents.xls'
df = pd.read_excel(file)

# plot data
#df = df.replace('NA()',0)
df = df[df['% popular'] != 'NA()']

print( df['% popular'] )
df['% popular'].plot(kind='hist', bins=8, title='Popularity by President', facecolor='blue', alpha=0.5, normed=1)
plt.show()

Popularity by President

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