Closed xysong1201 closed 5 years ago
We use default matplotlib settings for plots.
I plan to add a possibility to add custom plots, with all possible changes (yes, including ticks, colors, label location, etc).
Added with b9b7f126c51b703f06964b90d89626844a019101. When using
livelossplot.update(logs, step=5)```
to have a step of 5 (instead of 1).
Will start with version `0.4.0` and higher.
Hi, I used your codes for plotting many epochs, and as there are a lot epochs, the xlabel only show 5, 10, 15, etc. Could you tell me how to exactly know which epoch my loss point belongs to? Maybe
my_x_ticks = np.arange(0, 200, 1) my_y_ticks = np.arange(0, 1, 0.01) plt.xticks(my_x_ticks) plt.yticks(my_y_ticks)
something like this may help. Thankyou for your time