Question

过去一周我一直在编辑Jupyter笔记本，并尝试今天保存它。在尝试保存时，我收到了错误，因此我刷新了页面并成功保存了它。

然而，令我沮丧的是，几乎所有的命令历史都丢失了！我仍然可以访问变量（内核永远不会死），但我无法访问任何代码。

有没有办法恢复代码？内核仍在运行，但我的笔记本中没有看到任何检查点。

Answer 1

您可以获取IPython历史记录，Jupyter Notebook将其用作其内核。在其中一个单元格中运行：

%history

这将转储您在当前IPython会话中运行的每个命令的历史记录（好的，坏的和丑的）。它可能比你想要的更多，但它比失去你所有的工作更好。

Answer 2

类似的事情发生在我身上，我无法保存所做的工作，刷新页面并丢失了所有命令。

您可以获取整个笔记本的历史记录，并通过运行将输出重定向到任何给定文件

#Import the necessary libraries
import pandas as pd
from pulp import *
#Import the necessary liberaries
import pandas as pd
from pulp import *
#Create LpProblem 
prob = LpProblem("Simple Diet Problem",LpMinimize)
#Read the file
df = pd.read_csv("The Diet Problem.csv")
#Creat a list of food items
food_items = list(df['Foods'])
#Create a dictionary of cost for all foods
cost = dict(zip(food_items,df['price']))
#Create a dictionary of A for all foods
A = dict(zip(food_items,df['A']))
#Create a dictionary of C for all foods
C = dict(zip(food_items,df['C']))
#Create a dictionary of B1 for all foods
B1 = dict(zip(food_items,df['B1']))
#Create a dictionary of B2 for all foods
B2 = dict(zip(food_items,df['B2']))
I
#Create food variable with a lower bound = 0
food_vars = LpVariable.dicts("Food",food_items,lowBound=0, cat='Integer')
#Building the LpProblem by adding the main objective function
prob += lpSum([cost[i]*food_vars[i] for i in food_items])
=
#Add the constraints to the model
prob += lpSum([A[f] * food_vars[f] for f in food_items]) == 700
prob += lpSum([C[f] * food_vars[f] for f in food_items]) ==700
prob += lpSum([B1[f] * food_vars[f] for f in food_items]) == 700
prob += lpSum([B2[f] * food_vars[f] for f in food_items]) ==700
#Solve the problem and display the status
prob.solve()
print ("Status:", LpStatus[prob.status])
Status: Infeasible
#Display the full solution
for v in prob.variables():
    if v.varValue>=0:
        print(v.name, "=", v.varValue)
Food_Beef = 0.0
Food_CHK = 19.543147
Food_FISH = 0.0
Food_HAM = 0.0
Food_MCH = 16.345178
Food_MTL = 4.2639594
Food_SPG = 0.0
Food_TUR = 0.0

就我而言，我将其重定向到（.py）文件。您可以在https://ipython.readthedocs.io/en/stable/interactive/magics.html下的“％history”下找到更多文档。

Answer 3

如果您的内核没有重新启动，您可以从 _i{1,2,3,...} 等全局变量中获取您的代码。

找到代码的最简单方法是运行类似

print([k for k, v in globals.items() if 'some unique code snippet' in str(v)])

假设你有类似 ['_i2', '_i5', '_i9'] 的东西，那么你可以

print(_i9)

并将其复制粘贴到新单元格中。

在Jupyter Notebook中恢复命令历史记录？

3 个答案: