blocks|key|536012|text|试试这个：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|536013|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|code-block|syntax|javascript|536014|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Try this:

<pre><code>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
</code></pre>

blocks|key|536113|text|#+Save+a+dictionary+into+a+pickle+file.
import+pickle

favorite_color+=+{"lion":+"yellow",+"kitty":+"red"}++#+create+a+dictionary
pickle.dump(favorite_color,+open("save.p",+"wb"))++#+save+it+into+a+file+named+save.p

#+-------------------------------------------------------------
#+Load+the+dictionary+back+from+the+pickle+file.
import+pickle

favorite_color+=+pickle.load(open("save.p",+"rb"))
#+favorite_color+is+now+{"lion":+"yellow",+"kitty":+"red"}|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|536114|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code># Save a dictionary into a pickle file.
import pickle

favorite_color = {"lion": "yellow", "kitty": "red"} # create a dictionary
pickle.dump(favorite_color, open("save.p", "wb")) # save it into a file named save.p

# -------------------------------------------------------------
# Load the dictionary back from the pickle file.
import pickle

favorite_color = pickle.load(open("save.p", "rb"))
# favorite_color is now {"lion": "yellow", "kitty": "red"}
</code></pre>

blocks|key|319489|text|将Python数据(例如字典)转储到pickle文件的简单方法。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|319490|import+pickle

your_dictionary+=+{}

pickle.dump(your_dictionary,+open('pickle_file_name.p',+'wb'))|code-block|syntax|javascript|319491|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Simple way to dump a Python data (e.g. dictionary) to a pickle file.

<pre><code>import pickle

your_dictionary = {}

pickle.dump(your_dictionary, open('pickle_file_name.p', 'wb'))
</code></pre>

blocks|key|536058|text|>>>+import+pickle
>>>+with+open("/tmp/picklefile",+"wb")+as+f:
...+++++pickle.dump({},+f)
...+|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|536059|通常，最好使用cPickle实现|unstyled|536060|>>>+import+cPickle+as+pickle
>>>+help(pickle.dump)
Help+on+built-in+function+dump+in+module+cPickle:

dump(...)
++++dump(obj,+file,+protocol=0)+--+Write+an+object+in+pickle+format+to+the+given+file.

++++See+the+Pickler+docstring+for+the+meaning+of+optional+argument+proto.|536061|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|L|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$B|C]]|$1|I|3|-4|5|F|7|N|8|@]|9|@]|A|$]]]|J|$]]

<pre><code>&gt;&gt;&gt; import pickle
&gt;&gt;&gt; with open("/tmp/picklefile", "wb") as f:
... pickle.dump({}, f)
... 
</code></pre>

normally it's preferable to use the cPickle implementation

<pre><code>&gt;&gt;&gt; import cPickle as pickle
&gt;&gt;&gt; help(pickle.dump)
Help on built-in function dump in module cPickle:

dump(...)
 dump(obj, file, protocol=0) -- Write an object in pickle format to the given file.

 See the Pickler docstring for the meaning of optional argument proto.
</code></pre>

blocks|key|536335|text|如果您只想将字典存储在单个文件中，可以像这样使用pickle|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|536336|import+pickle

a+=+{'hello':+'world'}

with+open('filename.pickle',+'wb')+as+handle:
++++pickle.dump(a,+handle)

with+open('filename.pickle',+'rb')+as+handle:
++++b+=+pickle.load(handle)|code-block|syntax|javascript|536337|如果要在多个文件中保存和恢复多个字典以进行缓存，并存储更复杂的数据，请使用anycache。它可以完成您在pickle中需要做的所有其他事情|536338|from+anycache+import+anycache

@anycache(cachedir='path/to/files')
def+myfunc(hello):
++++return+{'hello',+hello}|536339|Anycache根据cachedir中不同文件的参数存储不同的myfunc结果，并重新加载它们。|536340|有关更多详细信息，请参阅documentation。|536341|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.python.org/pypi/anycache|1|http://anycache.readthedocs.io/^0|O|6|0|0|1H|6|11|8|0|0|0|A|8|V|6|0|C|D|1|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|16|8|@$9|17|A|18|B|C]]|D|@$9|19|A|1A|1|1B]]|E|$]]|$1|M|3|N|5|H|7|1C|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|1D|8|@$9|1E|A|1F|B|C]|$9|1G|A|1H|B|C]]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1I|8|@]|D|@$9|1J|A|1K|1|1L]]|E|$]]|$1|S|3|-4|5|6|7|1M|8|@]|D|@]|E|$]]]|T|$U|$5|V|W|X|E|$Y|Z]]|10|$5|V|W|X|E|$Y|11]]]]

If you just want to store the dict in a single file, use <code>pickle</code> like that

<pre><code>import pickle

a = {'hello': 'world'}

with open('filename.pickle', 'wb') as handle:
 pickle.dump(a, handle)

with open('filename.pickle', 'rb') as handle:
 b = pickle.load(handle)
</code></pre>

If you want to save and restore multiple dictionaries in multiple files for 
caching and store more complex data, 
use <a href="https://pypi.python.org/pypi/anycache" rel="noreferrer">anycache</a>. 
It does all the other stuff you need around <code>pickle</code>

<pre><code>from anycache import anycache

@anycache(cachedir='path/to/files')
def myfunc(hello):
 return {'hello', hello}
</code></pre>

Anycache stores the different <code>myfunc</code> results depending on the arguments to 
different files in <code>cachedir</code> and reloads them.

See the <a href="http://anycache.readthedocs.io" rel="noreferrer">documentation</a> for any further details.

blocks|key|536104|text|import+pickle

dictobj+=+{'Jack'+:+123,+'John'+:+456}

filename+=+"/foldername/filestore"

fileobj+=+open(filename,+'wb')

pickle.dump(dictobj,+fileobj)

fileobj.close()|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|536105|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code>import pickle

dictobj = {'Jack' : 123, 'John' : 456}

filename = "/foldername/filestore"

fileobj = open(filename, 'wb')

pickle.dump(dictobj, fileobj)

fileobj.close()
</code></pre>

blocks|key|319538|text|仅供参考，Pandas现在有一种保存泡菜的方法。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|319539|我发现这更容易。|319540|pd.to_pickle(object_to_save,'/temp/saved_pkl.pickle'+)|code-block|syntax|javascript|319541|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

FYI, Pandas has a method to save pickles now.
I find it easier.
<pre><code>pd.to_pickle(object_to_save,'/temp/saved_pkl.pickle' )
</code></pre>

blocks|key|319606|text|如果您希望在一行中处理写入或读取，而无需打开文件：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|319607|++import+joblib

++my_dict+=+{'hello':+'world'}

++joblib.dump(my_dict,+"my_dict.pickle")+#+write+pickle+file
++my_dict_loaded+=+joblib.load("my_dict.pickle")+#+read+pickle+file|code-block|syntax|javascript|319608|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

If you want to handle writing or reading in one line without file opening:
<pre><code> import joblib

 my_dict = {'hello': 'world'}

 joblib.dump(my_dict, &quot;my_dict.pickle&quot;) # write pickle file
 my_dict_loaded = joblib.load(&quot;my_dict.pickle&quot;) # read pickle file
</code></pre>

blocks|key|536147|text|我发现泡菜很让人困惑(可能是因为我太胖了)。不过，我发现这是可行的：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|536148|myDictionaryString=str(myDictionary)|code-block|syntax|javascript|536149|然后可以将其写入文本文件。我放弃了尝试使用pickle，因为我收到了错误，告诉我要将整数写入.dat文件。我为没有使用泡菜而道歉。|536150|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

I've found pickling confusing (possibly because I'm thick). I found that this works, though:

<pre><code>myDictionaryString=str(myDictionary)
</code></pre>

Which you can then write to a text file. I gave up trying to use pickle as I was getting errors telling me to write integers to a .dat file. I apologise for not using pickle.

I have looked through the information that the <a href="https://docs.python.org/3/library/pickle.html" rel="noreferrer">Python docs</a> give, but I'm still a little confused. Could somebody post sample code that would write a new file then use pickle to dump a dictionary into it?

How can I use pickle to save a dict?

Python

我已经浏览了提供的信息，但我仍然有点困惑。有没有人会写一个新文件的示例代码，然后使用pickle将字典转储到其中？

问如何使用pickle保存字典？
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