import os 这行代码导入了os库,它提供了许多与操作系统交互的功能,如文件路径操作、环境变量访问等。 在Jupyter Notebook中内联显示Matplotlib图形: python %matplotlib inline 这行代码是一个魔法命令,仅在Jupyter Notebook或Jupyter Lab环境中有效。它使得Matplotlib绘制的图形能够直接嵌入到Notebook的单元格输出中,...
尝试其他导入方法:如果上述方法都不起作用,尝试不使用matplotlib_inline,而是直接在代码中导入Matplotlib,例如: import matplotlib.pyplot as plt 而不是使用matplotlib_inline。通过遵循这些步骤,你应该能够解决“cannot import name ‘backend_inline’ from ‘matplotlib_inline’”的错误。如果问题仍然存在,请提供更多关于...
import matplotlib.pyplot as plt import numpy as np plt.rcParams['font.sans-serif'] = ['SimHei'] plt.rcParams['axes.unicode_minus'] = False %matplotlib inline fig = plt.figure() ax1 = fig.add_subplot(121) t = np.arange(0.0,5,0.01) s = np.sin(2*np.p... 这段代码使用了matplotl...
File "/opt/anaconda3/lib/python3.11/site-packages/matplotlib/rcsetup.py", line 27, in from matplotlib.colors import Colormap, is_color_like File "/opt/anaconda3/lib/python3.11/site-packages/matplotlib/colors.py", line 57, in from matplotlib import _api, _cm, cbook, scale File "/opt/ana...
"matplotlib-inline==0.1.6", "multidict==6.0.4", "multidict==6.0.5", "natsort==8.4.0", "odfpy==1.4.1", "openpyxl==3.1.2", "oscrypto==1.3.0", "parso==0.8.3", "pexpect==4.9.0", "pillow==10.2.0", "prompt-toolkit==3.0.43", "psycopg[binary]==3.1.17", "psycopg==3.1....
metrics import confusion_matrix import itertools import os import shutil import random import glob import matplotlib.pyplot as plt import warnings warnings.simplefilter(action='ignore', category=FutureWarning) %matplotlib inline 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18...
(1)matplotlib.image、PIL.Image、cv2图像读取模块 (2)将 numpy 数组转换为 PIL 图片: (3)python中PIL.Image和OpenCV图像格式相互转换 (4)matplotlib显示阻塞问题 (5)matplotlib绘制矩形框 ...
import os import pandas as pd import torch import torchaudio import numpy as np import seaborn as sns import matplotlib.pyplot as plt %matplotlib inline import plotly.express as px import librosa import librosa.display import IPython.display as ipd import sklearn import warnings import seaborn as ...
import matplotlib.pyplot as plt # In[4]: import seaborn as sns # In[5]: get_ipython().run_line_magic('matplotlib', 'inline') # # PreProcessing # In[7]: UNSW = pd.read_csv('/Radhe/Projeto/The UNSW-NB15 data set description/UNSW_NB15_training-set.csv') # In[7]: UNSW.head(...
matplotlib 3.7.1 matplotlib-inline 0.1.6 mistune 2.0.5 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 mpmath 1.3.0 nbclassic 0.5.2 nbclient 0.7.2 nbconvert 7.2.9 nbformat 5.7.3 nest-asyncio 1.5.6 networkx 3.0 nltk 3.8.1 notebook 6.5.2 notebook_shim 0.2.2 numpy 1.23.5 packagin...