实现上述功能的程序如下,请在程序划线处填入合适的代码。 import numpy as np import matplotlib.pyplot as plt ① #创建区间[0,100]上的1000个等距点作为x坐标值 y=x**0.5 plt.figure(figsize=(8,4)) ② plt.xlim(0,100) ③ #设置y轴范围 plt.title("x**0.5") ④
10.有如下Python程序段:import numpy as np import matplotlib. pyplot as plt x=np. linspace(0,10,30)y=np. cos(x)plt. figure(figsize=(8,4))plt. scatter(x,y,label=cos(s)'plt. ylim(0,1.5)plt. xlim(0,10)plt. legend()plt. show)该程序段运行后绘制的图形为()1.51.4●cos(s)●cos...
解释import matplotlib.pyplot as plt和import numpy as np两行代码的含义: import matplotlib.pyplot as plt:这行代码导入了matplotlib库中的pyplot模块,并将其简称为plt。matplotlib是一个Python的绘图库,广泛用于数据可视化。pyplot是matplotlib中的一个模块,提供了类似于MATLAB的绘图系统。 import numpy as np:这行...
pip install brewer2mpl import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import seaborn as sns import warnings; warnings.filterwarnings(action='once') large = 22; med = 16; small = 12 params = {'axes.titlesize': large, 'legend.fontsize': ...
有如下代码,如果想要绘制函数y=x^2的函数图像,则正确的选项是( )Import numpy as npImport matplotlib.pyplot as pltX = np.linspace(-10, 10, 20)Y = x ** 2——[单选题] A. plt.plot(x, y) B. plt.scatter(x, y) C. plt.plot(y, x) D. plt.scatter(y, x) 相关知识点: 试题来源...
3.有如下Python程序段。import pandas as pd import numpy as np import matplotlib. pyplot as plt plot_data = pd.DataFrame(np.random.randn(50,2), columns=['A','B'])# np.random.randn(50,2)产生两列、每列50个随机数plot_data.sort_values('A')[-10:].plot(kind='bar')plt.title('tail...
importnumpyasnp importpandasaspd importtorch fromtorchimportnn,optim importmatplotlib.pyplotasplt #解决中文乱码方法 frompylabimportmpl mpl.rcParams['font.sans-serif']=['KaiTi']# 指定默认字体 FangSans mpl.rcParams['axes.unicode_minus']=False# 解决保存图片是负号 ...
import pandas as pd import matplotlib as mpl 1. 2. 3. pyforest支持哪些包 pyforest覆盖99%以上主流Python Data Science libraries例如,importpandasaspd,importnumpyasnp,importmatplotlib.pyplotasplt, from sklearn.linear_model import LinearRegression等等。
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) plt.subplot(2, 1, 1) plt.plot(x, y1) plt.xlabel('x轴') plt.ylabel('y1轴') plt.subplot(2, 1, 2)
#加载matplotlib.pyplot模块并限简洁的别名为plt import matplotlib.pyplot as plt #x在-7到9之间,每隔0.1取一个点 x=np.arange(-7,9,0.1) ___ = x**2-2*x 1 plt.plot(x,___) plt.title('y=x*x-2*x 1') plt.xlabel('x') plt.ylabel(...