CODEWITHSUNDEEP
pythonpandascsvvisualization
thepajama
thepajama

Reputation: 55

Using bar graph to present a data from csv file

Suppose I have this csv file:

CODE     AGE GROUP     SEX     CITY      
----     ---------     ---     ----      
E101      25 to 29      M      Denver     
E102      25 to 29      F      Denver       
E105      25 to 29      M      Denver

I wish to present it using a bar graph but I'm not sure how to count the number of males and females in it. This is what I've coded so far:

import matplotlib.pyplot as plt

plt.style.use('bmh')

x = df['SEX']
y = # what should I put here?

plt.xlabel('Sex', fontsize=16)
plt.ylabel('Number of people', fontsize=16)
plt.bar(x, y)

What should I put in "y" for it to count the number of males and females in the data?

Upvotes: 0

Views: 465

Answers (1)

David Albrecht
David Albrecht

Reputation: 139

You can use the dataframe plot method like this: df["SEX"].value_counts().plot(kind="bar")

Otherwise, plt.bar() is expecting a list as long as the number of groups (0, 1) for x and the associated counts (2, 1) for y. It’s a bit harder to make sure the labels and counts align this way so I suggest the dataframe method. Your solution does not provide the correct value for x.

Upvotes: 3

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