Matplotlib example

Here is an example of making a simple seasonality chart using matplotlib.

This shows observations counts by month (all years) for monarch butterflies observed in the state of Iowa.

import matplotlib.pyplot as plt
import pandas as pd
from pyinaturalist import get_observations

# Then, get all observations in that place of a given species
observations = get_observations(
    taxon_name='Danaus plexippus',
    photos=True,
    geo=True,
    geoprivacy='open',
    place_id=24,
    page='all',
)
print(len(observations))

# Flatten nested JSON values
df = pd.json_normalize(observations)
df['observed_month'] = df['observed_on'].apply(lambda x: x.month)

590

# Plot observation counts by month
df['observed_month'].groupby(df['observed_month']).count().plot(kind='area')
plt.show()