The code from the previous video is shown below.
import pathlib
import pandas as pd
import altair as alt
df = pd.read_csv("birthdays.csv")
def clean_dataset(dataf):
return (dataf
.assign(date = lambda d: pd.to_datetime(d['date']))
.assign(yday = lambda d: d['date'].dt.dayofyear)
.groupby(['date', 'wday', 'yday'])
.agg(births = ('births', 'sum'), month=('month', 'first'))
.reset_index()
.head(1000))
plot_df = df.pipe(clean_dataset)
First Example of Altair
To turn this dataset into an interactive chart, run the example code below.
(alt.Chart(plot_df)
.mark_point(color='black')
.encode(x='yday', y='births')
.properties(width=600, height=300)
.interactive())