Python is a high-level, general-purpose programming language known for its readability and simplicity. Learn the features, applications, and advantages of Python.
text.set_color('white')# 设置字体大小fortextintexts + autotexts: text.set_fontsize(20) plt.show() 9.绘制直方图 # 导入模块importmatplotlib.pyplotaspltimportnumpyasnp# 使用np.random.normal()指定期望和均值的正太分布x = np.random.normal(0,0.8,1000) y = np.random.normal(-2,1,1000) z =...
Supervised learning is a machine learning technique that uses labeled data to train algorithms to predict outcomes. In the process, we train the machine with some data that is labelled correctly. It is is like having a supervisor while a machine learns to carry out tasks. Once the machine is...
10.3.xPython 2.7.8, NumPy 1.7.1, and matplotlib 1.3.0 10.2.1 and 10.2.2Python 2.7.5 and NumPy 1.7.1 10.2Python 2.7.3 and NumPy 1.6.1 10.1Python 2.7.2 and NumPy 1.6.1 10.0Python 2.6.5 and NumPy 1.3.0 ArcGIS Notebook Server Each notebook runtime in ArcGIS Notebook Server packages...
%matplotlib inline importtorch importnumpyasnp [3] data = [[1,2],[3,4]] x_data = torch.tensor(data) np_array = np.array(data) x_np = torch.from_numpy(np_array) print(f"Numpy np_array value:\n{np_array}\n") print(f"Tensor x_np value:\n{x_np}\n") ...
Python Code: import numpy as np from scipy import stats import matplotlib.pyplot as plt import matplotlib.font_manager from pyod.utils.data import generate_data, get_outliers_inliers #generate random data with two features X_train, Y_train = generate_data(n_train=200,train_only=True, n_...
matplotlib-inline 0.1.6 py312haa95532_0 mccabe 0.7.0 pyhd3eb1b0_0 mdit-py-plugins 0.3.0 py312haa95532_0 mdurl 0.1.0 py312haa95532_0 menuinst 2.1.1 py312h5da7b33_0 mistune 2.0.4 py312haa95532_0 mkl 2023.1.0 h6b88ed4_46358 ...
In a boxplot graph, the box represents the data’s interquartile range (IQR), which is the 50 percent of data points above the first quartile and below the third quartile. Each whisker (line) on the side of a boxplot represents the top and bottom 25 percent of data points, where the...
%matplotlib inline %config InlineBackend.figure_format = 'svg' perm_importance_r2 = pd.DataFrame( data={'importance': perm_importance['r2']['importances_mean']}, index=df_features.columns ) perm_importance_r2.sort_values(by='importance', ascending=False).plot(kind='barh', figsize=(5, 3....
Here is an example using pyplot in matplotlib: importcv2importmatplotlib.pyplotasplt %matplotlib inline#reading imageimg1 = cv2.imread('eiffel_2.jpeg') gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)#keypointssift = cv2.xfeatures2d.SIFT_create() ...