importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.colorsimportLinearSegmentedColormap# Make some illustrative fake data:x = np.arange(0, np.pi,0.1) y = np.arange(0,2* np.pi,0.1) X, Y = np.meshgrid(x, y)
from matplotlib.cm import viridis # 示例:直接导入viridis颜色映射 检查是否有语法错误或遗漏的部分: 原导入语句 from matplotlib.colors im 存在语法错误,因为 im 后面没有指定具体的类或函数名。此外,导入语句的末尾也没有逗号分隔(虽然在这个上下文中逗号不是必需的,但通常用于多个导入语句在同一行时分隔它们)。
import numpy as np from matplotlib.colors import ListedColormap,LinearSegmentedColormap import matplotlib as mpl import pandas as pd import os fig, ax = plt.subplots(dpi=96) ax.set(xlim=(1,10), ylim=(-0.1,101), autoscale_on=False) #a = np.array([[1, 1], #[2, 2], #[3, 3]...
4,2,3],label='how2matplotlib.com')ax.legend()# 设置第一个子图的刻度样式axs[0,0].tick_params(axis='both',which='major',labelsize=12,colors='red')# 将第一个子图的刻度样式应用到其他子图foraxinaxs.flat[1:]:for
sklearn.linear_modelfromsklearn.model_selectionimporttrain_test_splitfromsklearn.datasetsimportmake_classification, make_blobsfrommatplotlib.colorsimportListedColormapimportsklearnimportsklearn.datasets#from DLfunctions import plot_decision_boundaryexecfile("./DLfunctions.py")# Since import does not work in...
某些属性不会被update_from()方法复制,例如: _transformSet _visible _animated _alpha clip_box clip_path clip_on label axes figure 让我们通过一个例子来说明这一点: importmatplotlib.pyplotaspltfrommatplotlib.linesimportLine2Dfig,ax=plt.subplots()line1=Line2D(...
import numpy as np import pandas as pd import matplotlib.pyplot as plt if __name__ == '__main__': file_list = ['pr_data/v5.csv', 'pr_data/v6.csv', 'pr_data/v7.csv', 'pr_data/v8.csv', 'pr_data/v10.csv', 'pr_data/11n.csv'] names = ['v5', 'v6', 'v7', '...
Python39\lib\site-packages\matplotlib\rcsetup.py in <module> 22 import numpy as np 23 ---> 24 from matplotlib import _api, animation, cbook 25 from matplotlib.cbook import ls_mapper 26 from matplotlib.colors import Colormap, is_color_like C:\Python\Python39\lib\site-packages\matplotlib\...
cm import ScalarMappable from matplotlib.colors import rgb2hex from .base.graph import graph from ..tools import amplitude, phase_angle from ..tools import amplitude, phaseangle from ..tools.base import convert_state def state_vector( @@ -13,10 +14,10 @@ def state_vector( show: bool = ...
import matplotlib.pyplot as plt import pandas as pd # 绘制mAP和Loss随epoch变化 def plot_metrics(ax, metric_col_name, y_label, color, modelname): res_path = pr_csv_dict[modelname] try: # 读取数据并去掉列名的空格 data = pd.read_csv(res_path) data.columns = data.columns.str.strip()...