What is pickle dump?
Python is a powerful language for data analysis. One way it can help you is by using the "pickle" library to serialize objects. This can be helpful when you want to save your data so that you can use it later without having to re-run your code or reload your data. The pickle library also supports compression, which can help save space on your hard drive. The pickle module is a powerful tool for saving objects. Pickle dumps can take almost any Python object and turn it into a string representation, which can then be stored in a file or database. This is called serialization, and it's how most Python programs save data.
save thing in pickle python
import pickle
a = {'hello': 'world'}
with open('filename.pickle', 'wb') as handle:
pickle.dump(a, handle, protocol=pickle.HIGHEST_PROTOCOL)
with open('filename.pickle', 'rb') as handle:
b = pickle.load(handle)
print a == b
pickle a dictionary
import pickle #credits to stack overflow user= blender
a = {'hello': 'world'}
with open('filename.pkl', 'wb') as handle:
pickle.dump(a, handle, protocol=pickle.HIGHEST_PROTOCOL)
with open('filename.pkl', 'rb') as handle:
b = pickle.load(handle)
print (a == b)create pickle file python
import pickle
file_name='my_file.pkl'
f = open(file_name,'wb')
pickle.dump(my_data,f)
f.close()pickle dump
import pickle
with open('Fruits.obj', 'wb') as fp:
pickle.dump(banana, fp)
pickle save
import pickle
pickle.dump( favorite_color, open( "save.p", "wb" ) )
favorite_color = pickle.load( open( "save.p", "rb" ) )pickle.load python
import pickle
# load : get the data from file
data = pickle.load(open(file_path, "rb"))
# loads : get the data from var
data = pickle.load(var)Now we have covered how to use pickle.dump() to convert an object to bytes and store it in a file. We'll also see how to load the stored object back into Python using pickle.load().
