Example Usage

import matplotlib.pyplot as plt
from tqdm import tqdm

from leveropen import Lever

lever = Lever(access_token="your-unique-access-token")
dataset = lever.get_datasets_by_collection("Gross Domestic Product (GDP)")[0]
fig, ax = plt.subplots()
for series in tqdm(dataset.get_series(), desc="Parsing series objects", unit="SeriesObjects"):
    data = series.get_data()["Value"]
    data.plot(
        title=f"Collection: {dataset.collection}\nTopic: {dataset.topic}",
        ax=ax,
        label=series.name,
    )
ax.legend()
plt.show()

Console:

Parsing datasets: 100%|██████████| 1/1 [00:00<00:00, 321.95datasets/s]
✔ Loading datasets successful
✔ Loading series data successful
Parsing series: 100%|██████████| 5/5 [00:00<00:00, 19765.81series/s]
Parsing series objects: 100%|██████████| 5/5 [00:05<00:00,  1.16s/SeriesObjects]
_images/lever_example_plot.png

Note

The above example uses the python package matplotlib

See also