[英]How do I turn this json object into a pandas dataframe?
I have a csv file that I turn into a json so that I can turn it into a panda data-frame. 我有一个csv文件,可以将其转换为json,以便可以将其转换为熊猫数据框。
Here is my code, 这是我的代码,
def create_png():
f = open('sticks.csv', 'r')
reader = csv.DictReader( f, fieldnames = ("xstk", "stk") )
out = json.dumps( [row for row in reader ] )
print out
df = DataFrame([
#TODO
])
The line 'print out' prints out "[{"xstk": "1", "stk": "0"}, {"xstk": "0", "stk": "1"}, {"xstk": "1", "stk": "0"}]" 'print out'行打印出[[{“ xstk”:“ 1”,“ stk”:“ 0”},{“ xstk”:“ 0”,“ stk”:“ 1”},{“ xstk” :“ 1”,“ stk”:“ 0”}]“
So what can I put into #TODO to make the code run and turn this into a simple two column dataframe? 那么我可以在#TODO中放入什么来使代码运行并将其转换为简单的两列数据框? I have looked at Create pandas dataframe from json objects but it is a complicated example.
我看过从json对象创建熊猫数据帧,但这是一个复杂的示例。
Simply read the string of the json in directly to read_json
: 只需将json的字符串直接读取到
read_json
:
In [11]: pd.read_json('[{"xstk": "1", "stk": "0"}, {"xstk": "0", "stk": "1"}, {"xstk": "1", "stk": "0"}]')
Out[11]:
stk xstk
0 0 1
1 1 0
2 0 1
However, if you already have a csv you should really read it in directly using read_csv
: 但是,如果您已经有一个csv,则应该使用
read_csv
直接阅读它:
df = pd.read_csv('sticks.csv', names=["xstk", "stk"])
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