[Python] Trying to save Matplotlib plots with data subsets in a for-loop, but plots are not...

I'm using the iris dataset as an example, because my real dataset has almost 100K entries. I want to save each individual plot with its own subset of species data, but when I run my code, they plot on top of each other.

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset('iris')

species_sum = iris['species'].value_counts().rename_axis('species').reset_index(name='counts')

for row in range(0, len(species_sum)):
species = species_sum['species'].iloc[row]
print(species)
species_data = iris.loc[iris['species'] == species]

species_plot = iris[iris['species'] == species]
xerror = [species_plot['sepal_length']*0.3, species_plot['sepal_length']*0.5]

plt.errorbar(x=species_plot['sepal_length'], y=species_plot['petal_length'], xerr=xerror, fmt='o')
plt.xlabel('Sepal L')
plt.ylabel('Petal L')
plt.savefig(species+'.png')


I don't want to use plt.show() if possible. Resulting image

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