![](/img/trans.png)
[英]Axes from plt.subplots() is a “numpy.ndarray” object and has no attribute “plot”
[英]Precise type annotating array (numpy.ndarray) of matplotlib Axes from plt.subplots()
事實證明,強輸入axs
變量一點也不簡單,需要很好地理解如何輸入np.ndarray
。
最簡單和最強大的解決方案是用'
字符包裝numpy.ndarray
,以避免臭名昭著的 TypeError:當 Python 嘗試解釋表達式中的 [] 時,'numpy._DTypeMeta' object is not subscriptable。
一個例子:
import matplotlib.pyplot as plt
import numpy as np
import numpy.typing as npt
import seaborn as sns
from typing import cast, Type, Sequence
import typing
sns.set()
# Some example data to display
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)
fig, axs = plt.subplots(
2, 2,
figsize=(12, 10) # set graph size
)
# typechecking operation
NDArrayOfAxes: typing.TypeAlias = 'np.ndarray[Sequence[Sequence[plt.Axes]], np.dtype[np.object_]]'
axs = cast(np.ndarray, axs)
axs[0, 0].plot(x, y)
axs[0, 0].set_title("main")
axs[1, 0].plot(x, y**2)
axs[1, 0].set_title("shares x with main")
axs[1, 0].sharex(axs[0, 0])
axs[0, 1].plot(x + 1, y + 1)
axs[0, 1].set_title("unrelated")
axs[1, 1].plot(x + 2, y + 2)
axs[1, 1].set_title("also unrelated")
fig.tight_layout()
Pylance 可以很好地檢測到並正確運行:
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