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Python

Posted by Brian Wolf
Brian Wolf
Courses Plus Student 2,456 Points

My Madplotlib chart will not show in Jupyter Ntbk. I get <Figure size 640x480 with 1 Axes> Am I leaving something out?

Here's my code:

from itertools import groupby

import csv import matplotlib.pyplot as plt

input_file = "iris.csv" with open(input_file, 'r') as iris_data: irises = list(csv.reader(iris_data))

colors = {"Iris-setosa": "#2B5B84", "Iris-versicolor": "g", "Iris-virginica": "purple"}

irises.pop()

for species, group in groupby(irises, lambda i: i[4]): categorized_irises = list(group) sepal_lengths = [float(iris[0]) for iris in categorized_irises] sepal_widths = [float(iris[1]) for iris in categorized_irises] plt.scatter(sepal_lengths, sepal_widths, s=10, c=colors[species], label=species)

plt.title("Fisher's Iris Data Set", fontsize = 12) plt.xlabel("sepal_lengths (cm)", fontsize = 10) plt.ylabel("sepal_widths (cm)", fontsize = 10) plt.legend(loc='upper right')

plt.show()

1 Answer

KRIS NIKOLAISEN
KRIS NIKOLAISEN
54,971 Points
KRIS NIKOLAISEN
KRIS NIKOLAISEN
54,971 Points

I compared your code to the video and it is the same. I was able to run it and display the plot. You could try the suggestion here

I added %matplotlib inline just before import matplotlib.pyplot as plt and it made no difference. The plot displayed the same. When I tried %matplotlib notebook however the plot disappeared.

Your code formatted with markdown:

from itertools import groupby

import csv
import matplotlib.pyplot as plt

input_file = "iris.csv"

with open(input_file, 'r') as iris_data:
    irises = list(csv.reader(iris_data))

colors = {"Iris-setosa": "#2B5B84", "Iris-versicolor": "g", "Iris-virginica": "purple"}

irises.pop()

for species, group in groupby(irises, lambda i: i[4]):
    categorized_irises = list(group)
    sepal_lengths = [float(iris[0]) for iris in categorized_irises]
    sepal_widths = [float(iris[1]) for iris in categorized_irises]
    plt.scatter(sepal_lengths, sepal_widths, s=10, c=colors[species], label=species)

plt.title("Fisher's Iris Data Set", fontsize = 12)
plt.xlabel("sepal_lengths (cm)", fontsize = 10)
plt.ylabel("sepal_widths (cm)", fontsize = 10)
plt.legend(loc='upper right')

plt.show()