FAQ: Bar Charts and Pie Charts - Review

Frequently Asked Questions Uncategorized
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This community-built FAQ covers the “Review” exercise from the lesson “Bar Charts and Pie Charts”.

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This exercise can be found in the following Codecademy content:

Data Scientist

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2

I wrote this and it’s given me an error.
import matplotlib.pyplot as plt

import seaborn as sns

import pandas as pd

import codecademylib3

df = pd.read_csv(“Health_AnimalBites.csv”)

#print(df.head())

pie_wedges = df[‘bite_date’]

pie_labels = df[‘SpeciesIDDesc’]

plt.pie(pie_wedges, labels = pie_labels)

plt.axis(‘Equal’)

plt.title(“Animal Bites”)

plt.show()

It gets flagged as:

text
text788×436 50.1 KB

3

I know this is a long time ago but Ill take a stab at it just for my learning.

You’re trying to summarize the data by date to make your wedges. The data type for the ‘bite_date’ column is object. (run print(df.dtype) to find that out).

To get a the number of occurrences on each date do:

df[‘bite_date’].value_counts()

Spoiler warning: the pie chart isn’t very useful because there is a lot of unique data.

1 Like
4

Hi, I have a question about value_counts()

My understanding is that it returns a Pandas dataframe but I am having trouble using it to make a pie chart.
Below is my code to attempt to make a pie chart of the percentage of bites that were from male, female, and unknown animals.

df = pd.read_csv(“Health_AnimalBites.csv”)
#print(df.head())
Gender = df[“GenderIDDesc”]
Gender_Prop = Gender.value_counts(normalize=“True”)

I am having trouble plotting Gender_Prop. How do I get the pie_wedges and pie_labels here?

Thanks!