Altair filtered histogram greater than selection

altair_hist_example

## Altair chart for Rafa
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import altair as alt
import seaborn as sns

from matplotlib import colors

# Create data
np.random.seed(102)
data = pd.DataFrame({'value_':np.random.random(size=(1000)), 'cat': np.tile(np.arange(1, 11),100)})

# Create 'greater than n-1' dataset
all_df = []
for i in data['cat'].unique():
    vals = data.loc[data.cat > i, 'value_'].values
    df = pd.DataFrame({'gt_vals':vals, 'n':np.full_like(vals, i)})
    all_df.append(df)
master_df = pd.concat(all_df)


# Choose colors
colors2 = sns.color_palette(n_colors=10)

# Create altair chart
selector = alt.selection(type='single', fields=['n'])

top = alt.Chart(master_df).mark_rect(strokeWidth=2, stroke='white', fill=colors.rgb2hex(colors2[0])).encode(
    x = alt.X('gt_vals:Q',title="Values", bin=alt.Bin(step=(edges[1] - edges[0]), extent=[0, 1], nice=False)),
    y = alt.Y("count()"),
).transform_filter(
    selector
).properties(
    width=400
    
)


bottom = alt.Chart(master_df).mark_rect().encode(
    x = alt.X("n:O", axis=None),
    color=alt.condition(selector, alt.Color("n:N", legend=None), alt.value('lightgray'))
).add_selection(
    selector
).properties(
    width=400
)

text = alt.Chart(master_df).mark_text().encode(
    x = alt.X("n:O", title="Categories", axis = alt.Axis(labels = False, ticks=False)),
    text = alt.Text("n:O", ),
    color=alt.value('white')
).properties(
    width=400,
    height=40
)

top & (bottom + text)