# Logging custom x values for graph#

When logging metrics or other series of values to be plotted as a chart, you can specify custom values to use for the x axis with the step argument.

run["metric"].log(
value=acc,
step=i,
)


Note

The entries logged for step must be strictly increasing.

## Example#

You might use the epoch number as the index for the log() method when logging a series of Matplotlib figures.

import neptune.new as neptune
import matplotlib.pyplot as plt

run = neptune.init_run()

for epoch in range(100):
plt_fig = get_histogram()

run["train/distribution"].log(
plt_fig,
step=epoch,
)