随笔分类 - Python
Python
摘要：QFileDialog有四项功能 1.打开文件夹 getExistingDirectory() def openfolder(self): self.folder = QFileDialog.getExistingDirectory(self) print(self.folder) 2.打开特定文件
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摘要：在Qt Designer中先建立UI，转成py文件，文件名为：plot_ui.py # -*- coding: utf-8 -*- ################################################################################ ##
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摘要：from PySide6.QtWidgets import QApplication, QMainWindow,QWidget import pyqtgraph as pg import sys from PySide6 import QtCore,QtWidgets import numpy as
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摘要：示例1 from PySide6.QtWidgets import QWidget,QApplication from PySide6 import QtWidgets ,QtCore import pyqtgraph as pg import sys import numpy as np clas
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摘要：DataFrame 提取一行后 就变成Series，DF的列(columns) 就变成Series的索引(index ),再保存到csv文件，格式就乱了 处理办法：将Series的value提取出来，变成list格式，用append()将所有提起的数据放在一起，再转成DataFrame格式，再添加原
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摘要：原数据中第2，4，6。。。列没有用，需要删除 filename = 'Pnt_210101000000_page27' df = pd.read_csv(name+'.csv') # 删除第一行 单位符号 #df.drop(index=0, inplace = True) # 区power 列 #p
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摘要：在使用set_xticklabels时，报错 UserWarning: FixedFormatter should only be used together with FixedLocator 究其原因，原来set_xticks()和set_xticklabels()需要同时使用，缺一不可
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摘要：batch_size , seq ,num_layers = 2,3,2 input_size , hidden_size = 2,3 input = torch.randn(batch_size, seq, input_size) h_0 = torch.zeros(num_layers,batc
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摘要：rnn = nn.RNN(input_size=4,hidden_size=3,num_layers=2,batch_first=True, bidirectional = True) input = torch.randn(1,5,4) output , h_n = rnn(input) prin
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摘要：batch_first – If True, then the input and output tensors are provided as (batch, seq, feature) instead of (seq, batch, feature). Note that this does n
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摘要：# Define LSTM class Lstm(nn.Module): def __init__(self, input_size, hidden_size=2, output_size=1, num_layers=1): super().__init__() self.layer1 = nn.L
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摘要：x=np.arange(1,100) y = np.sin(0.1*x) def D_1(x,y): n = len(x) d = np.zeros(n) d[0] = (y[1]-y[0])/(x[1]-x[0]) d[n-1] = (y[n-1]-y[n-2])/(x[n-1]-x[n-2])
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摘要：x = [1,2,3] y1 = np.array([4,5,6]) y2 = np.array([5,6,7]) y3 = np.array([7,6,5]) width = 0.2 Sum = y1+y2+y3 per = 100*y2/Sum #添加在中间，旋转90度 def add_mid(
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摘要：```python def firstorder(T,K,t,In): # T 时间常数 # K 增益 Out = np.zeros(len(In)) for i in range(1,len(t)): dt = t[i]-t[i-1] s = T/dt Out[i] = K*In[i]/(s+1)
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摘要：x = np.arange(0,101) wn = np.random.rand(101) y1 = -1+0.02*x+0.1*wn y2 = np.sin(0.5*x) y3 = 0.0001*x**2-0.03*x+1 y4 = 0.8*np.cos(x) fig,ax1 = plt.subp
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摘要：import numpy as np import statsmodels.api as sm from gekko import GEKKO # Data x0 = np.array([4,5,2,3,-1,1,6,7]) x1 = np.array([3,2,3,4, 3,5,2,6]) y =
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摘要：import numpy as np from scipy.stats import linregress import statsmodels.api as sm import matplotlib.pyplot as plt from gekko import GEKKO # Data x =
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摘要：x = np.random.random(10) y = np.random.random(10) note = np.arange(1,11) plt.scatter(x,y,marker = 'o', c = 'r') plt.title('在数据上添加标注',fontproperties='M
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摘要：from matplotlib import font_manager # fname中选择一个你本机查询出来的字体 若没有中文字体则需要你本人手动安装 font = font_manager.FontProperties(fname="/usr/share/fonts/wenquan/wenqua
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摘要：使用openpyxl保存数据到Excel文件报错：BadZipFile: File is not a zip file 如果保存的文件不存在，直接用pd.ExcelWriter 如果保存的文件已存在，用openpyxl.load_workbook加载已有的文件, 再使用pd.ExcelWriter
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