WandB – Why are "step" ticks in diagrams calculated differently from given? (Python)

I evaluate a deep learning model (StyleGan2-Ada-Pytorch). The procedure is to calculate the metrics afterwards based on a log file (this takes a long time, therefore not done in training).

The metric was logged only every few iterations, so epoch is something like 0, 50, 100, 150 and has each time a corresponding metric.
I iterate through the list and give each item to WandB: wandb.log( metric, step=epoch )

Problem: When looking at the overall WandB dashboard, the data points are not on the given step (x-axis tick). They are off by some scaled delta. For example: Instead of starting at the given 0 step, the value is displayed at position 19.6. This differs for every entry:

But, when I click on the specific run to view its details, the values are displayed correctly:

I tried to play with the axis scales, smoothing and so on. Did not help.

This is super annoying, has somebody an idea what’s wrong?

Minimal Example:

import os
import wandb
os.environ["WANDB_API_KEY"] = 'Your API Key'

step_metric = {
    0  : 2.2,
    50 : 29.3,
    100: 45,
    150: 67.4,
    200: 182
}

run = wandb.init(  project = "stackoverflow", group = 'run1'  )

for key, value in step_metric.items():
    mydict = { "A": value , "B" : value*2 }
    wandb.log( mydict, step=int(key) )

run.finish()