...選出你認(rèn)為正確的答案: A. import numpy as npimport matplotlib.pyplot as pltx = np.linspace(0.1, 2 * np.pi, 100)y_1 = np.square(x)y_2 = np.log(x)y_3 = np.sin(x)fig = plt.figure()plt.plot(x,y_1)fig = plt.figure...
...數(shù)據(jù)集 from sklearn.datasets import make_moons from matplotlib import pyplot from pandas import DataFrame # 生成2分類數(shù)據(jù)集 X, y = make_moons(n_samples=100, noise=0.2, random_state=1) print(X.shape) print(X...
...matplotlib pip install matplotlib 2.繪制簡(jiǎn)單圖形 import matplotlib.pyplot as plt #圖形輸入值 input_values = [1,2,3,4,5] #圖形輸出值 squares = [1,4,9,16,25] #plot根據(jù)列表繪制出有意義的圖形,linewidth是圖形線寬,可省略 plt.plot(input_va...
...據(jù)的兩個(gè)變量的值 #使用時(shí),我們可以使用import導(dǎo)入pyplot庫(kù),并設(shè)置一個(gè)別名plt importmatplotlib.pyplotasplt x_hz=[iforiinrange(10)]#時(shí)間數(shù)據(jù) y_zz=[6,14,21,36,45,52,66,72,88,92]...
...近MATLAB的界面。 參考 matplotlib-繪制精美的圖表 matplotlib.pyplot.plt參數(shù)介紹 import matplotlib.pyplot as plt labels=frogs,hogs,dogs,logs sizes=15,20,45,10 colors=yellowgreen,gold,lightskyblue,lightcoral explode=0...
...快數(shù)據(jù)預(yù)處理非常有幫助。 import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv(dataset/soccer/train.csv) print(data.info()) RangeIndex: 10441 entries, 0 to 10440 Data columns (total 65 colum...
...定制化圖表3.1 柱狀圖、線形圖、堆積柱狀圖 from matplotlib.pyplot import * x = [1,2,3,4,5,6] y = [3,4,6,7,3,2] #create new figure figure() #線 subplot(2,3,1) plot(x,y) #柱狀圖 subplot(2,3,2) bar(x,y) ...
...使用Python修改這類的二維圖形呢?比如,去修改matplotlib.pyplot.colorbar的位置,讓其做好對(duì)應(yīng)工作,保證相關(guān)的位置對(duì)齊,以此用來(lái)進(jìn)行對(duì)齊主圖,具體下面給大家解答。 問題描...
...; 方法一:使用matplotlib.pyplot matplotlib.pyplot簡(jiǎn)介 這種繪圖主要使用pyplot模塊,pyplot.py代碼量有3000多行(windows下存...
...的折線圖,代碼保存到mpl_squares.py文件中: import matplotlib.pyplot as plt # 輸入數(shù)據(jù), x軸 input_values = [1, 2, 3, 4, 5] # 輸出數(shù)據(jù), y軸 squares = [1, 4, 9, 16, 25] # linewidth表示線條的粗細(xì) plt.plot(input_values, squares, lin...
ChatGPT和Sora等AI大模型應(yīng)用,將AI大模型和算力需求的熱度不斷帶上新的臺(tái)階。哪里可以獲得...
大模型的訓(xùn)練用4090是不合適的,但推理(inference/serving)用4090不能說(shuō)合適,...
圖示為GPU性能排行榜,我們可以看到所有GPU的原始相關(guān)性能圖表。同時(shí)根據(jù)訓(xùn)練、推理能力由高到低做了...