I have a list in my program. I have a function to append to the list, unfortunately when you close the program the thing you added goes away and the list goes back to the beginning. Is there any way that I can store the data so the user can re-open the program and the list is at its full.
Use file. write() to save data to a Python file With file as the result from the previous step, call file. write(data) with data as a string to save it to file . Call file. close() with file as the file object written to in the previous step to close file .
In some programming languages you have to declare a variable before using them or define the information that will be stored in it, e.g., a number. However, in Python we just need to type the name of our variable, followed by an equals sign and a value to assign to it. This is called assigning a value to a variable.
You may try pickle module to store the memory data into disk,Here is an example:
store data:
import pickle
dataset = ['hello','test']
outputFile = 'test.data'
fw = open(outputFile, 'wb')
pickle.dump(dataset, fw)
fw.close()
load data:
import pickle
inputFile = 'test.data'
fd = open(inputFile, 'rb')
dataset = pickle.load(fd)
print dataset
You can make a database and save them, the only way is this. A database with SQLITE or a .txt file. For example:
with open("mylist.txt","w") as f: #in write mode
f.write("{}".format(mylist))
Your list goes into the format()
function. It'll make a .txt file named mylist
and will save your list data into it.
After that, when you want to access your data again, you can do:
with open("mylist.txt") as f: #in read mode, not in write mode, careful
rd=f.readlines()
print (rd)
The built-in pickle
module provides some basic functionality for serialization, which is a term for turning arbitrary objects into something suitable to be written to disk. Check out the docs for Python 2 or Python 3.
Pickle isn't very robust though, and for more complex data you'll likely want to look into a database module like the built-in sqlite3
or a full-fledged object-relational mapping (ORM) like SQLAlchemy.
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