import numpy as np
import pandas as pd
import torch
from torch import nn
import lightning as pl
from torch.utils.data import DataLoader, Dataset, random_split
import matplotlib.pyplot as plt
from contextlib import contextmanager
@contextmanager
def figsize_as(width, height):
original_figsize = plt.rcParams['figure.figsize']
try:
plt.rcParams['figure.figsize'] = [width, height]
yield
finally:
plt.rcParams['figure.figsize'] = original_figsize
# Example usage:
with figsize_as(4, 4):
fig, ax = plt.subplots()
ax.plot([0, 1], [0, 1])
plt.show()Popular repositories Loading
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audience_programming
audience_programming Publici think theprimeagen's vim-with-me is pretty cool
Rust 1
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