-
-
Notifications
You must be signed in to change notification settings - Fork 2.8k
Open
Labels
Description
Let's build a histogram for 1000 random values from 0 to 1, narrow down the bins and add tick text to each bin. To make the existence of the bug visible, draw a vertical line in the middle of each bin.
import sys
sys.dont_write_bytecode = True
import numpy as np
import pandas as pd
import plotly.express as px
df = pd.DataFrame({'rand_vals': np.random.rand(1, 1000)[0]}).round(4)
hist = px.histogram(df)
hist.update_traces(xbins={'start': df['rand_vals'].min(),
'size': 0.01})
ranges = [[round(val, 4),
round(val + 0.0099, 4)] for val in np.arange(df['rand_vals'].min(),
df['rand_vals'].max() + 0.01, 0.01)]
hist.update_xaxes(tickvals=[np.mean(rng) for rng in ranges],
ticktext=[' - '.join(map(str, rng)) for rng in ranges],
tickfont_size=10,
rangemode='tozero')
for rng in ranges:
hist.add_vline(np.mean(rng),
line_width=1,
line_dash='dash')
hist.show()
An interesting detail: if I double zoom the diagram (HTML), the offset eliminates:

If anyone thinks the problem is because the tick texts are too long, let's simplify them by removing ticktext=[' - '.join(map(str, rng)) for rng in ranges],. The displacement will remain:

