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!pip install vega_datasets
Collecting vega_datasets
Downloading vega_datasets-0.9.0-py3-none-any.whl (210 kB)
|████████████████████████████████| 210 kB 29.0 MB/s
Requirement already satisfied: pandas in /shared-libs/python3.7/py/lib/python3.7/site-packages (from vega_datasets) (1.2.5)
Requirement already satisfied: python-dateutil>=2.7.3 in /shared-libs/python3.7/py-core/lib/python3.7/site-packages (from pandas->vega_datasets) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /shared-libs/python3.7/py/lib/python3.7/site-packages (from pandas->vega_datasets) (2021.3)
Requirement already satisfied: numpy>=1.16.5 in /shared-libs/python3.7/py/lib/python3.7/site-packages (from pandas->vega_datasets) (1.19.5)
Requirement already satisfied: six>=1.5 in /shared-libs/python3.7/py-core/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->vega_datasets) (1.16.0)
Installing collected packages: vega-datasets
Successfully installed vega-datasets-0.9.0
Google Colab: ciencia de datos
Algunas librerías incluidas en Google Colab
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy as sc
import seaborn as sns
Code Snippets
# load an example dataset
from vega_datasets import data
cars = data.cars()
# plot the dataset, referencing dataframe column names
import altair as alt
# alt.Chart(cars).mark_bar().encode(
x=alt.X('Miles_per_Gallon', bin=True),
y='count()',
color='Origin'
)