Today, a little blind spot when do reptiles: strings, dictionaries, write to the same file. Difficult to use!
Such data such as:
STR =. "Hi, I like Budy 52pojie!"
Dirt = { "Chen Mo": [ "M", "22"]}
a, saved to a file txt
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with
open
(
"text.txt"
,
"w"
) as f: f.write(
str
)
#write()只能保存string
f.write(
str
(dirt))
|
So read it out, how to read are strings. dirt is difficult to use.
Second, the data saved to json, using the json.load and json.dump
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with
open
(
"a.json"
,
"w"
) as f: json.dump(
str
,f)
json.dump(dirt,f)
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Json use when reading. the dump (), this produces an error, a string, a dictionary is. Reading together data types is not uniform.
Then read separately, which is a third way:
three ,, json.load and json.dump + json.loads () use
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import
json
def
read_json():
with
open
(
"a.json"
,
"r"
) as f:
#每一行为一个列表的元素，各行独立
data
=
f.readlines()
for
dat
in
data:
#去掉行后的空白，换行或者回车
dat
=
dat.rstrip()
#利用json.loads()恢复每一行的保存前数据类型，
dir
=
json.loads(dat)
#打印数据类型
print
(
type
(
dir
))
print
(
dir
)
def
write_json():
with
open
(
"a.json"
,
"w"
) as f:
str
=
[
1
,
2
,
5
,
3
,
4
,
5
]
json.dump(
str
,f)
#每行后换行，保证每条数据相互独立。
f.write(
"\n"
)
str
=
{
11
:
22
,
33
:
44
}
json.dump(
str
,f)
f.write(
"\n"
)
str
=
"hello budy!"
json.dump(
str
,f)
#这样会产生比较多的空间浪费。每行有可能不到一半，
if
__name__
=
=
"__main__"
:
write_json()
read_json()
|
In doing so, to my current level, a lot of convenience, the saved data can easily follow his original data type to use. However, a lot of wasted space is generated,
such as line 100 bytes, probably with 10 bytes