List conversion on Dataframe for management python
As a trader of cryptocurrencies, the maintenance and organized data, there is an important value for the consumable decrees. In this state, we dissatisfied, how to interfere with the list of shades from Binance Fuilers in the panda frame, which can be used for the control of the suppression.
PROPOSE:
- Install bookstore
- Install the UCHOL DATE API BINANCE
- Open the non -existent libraries and install the API key
Code:
`Python
That's the binance_f Import Requestclient, order order
Installed UCHOL DATE API and CLIENDS
API_KEY = 'Your_API_KY'
Api_secret = 'Your_api_secret'
Request_Client = Requestclient (API_KEY = API_KEY, API_SECRET = API_SECRET)
Def Convert_to_DF (prices):
"" "" "
Express the list of the shadow in the Panda data frame.
Parameters:
Shadow (list): List shadow for convertation
Recruit:
Pd.dateframe: Dataframe predatory
"" "" "
ORDER_BOOK = REQUEST_CLIENT.GET_ORDERBOOK ('BTCUSDT')
Correct a vocabulary for the shadow -shad
Data = {
'the shada': [],
'ABUDE': []
}
For the item in orderers_book.entries:
IF Entry.price> Entry.volume:
Date ['shada']. Enjoyment (Entry.price)
Date ['Tom']. Enjoyment (Entry.volume)
Df = pd.dafaframe (data)
return df
#Prier using
Shadow = [100.0, 120.0, 110.0, 130.0, 115
Df = convert_to_df (shadow)
Pack (DF)
Enlightenment:
- We have an implementation of the non -existent bookstores and install our ucellant API.
- We are a requested "asking", using our bees and a secreted key.
3
- For each element, we add to the shadow and the dictionary (Data
).
- We make a frame of the Panda Dictionary and weigh it.
6
COVES AND VARIATION:
- You can change the functionconvert_to_df ()` to adapt to the pluttering shadows (for example, graphic dyser Candle).
- If you need to enlighten the add-on data (for example, analysis of tendencies), it is possible to accept the use of the prodigal library in the Kaczas-Dareader.
- To optimize the production, prick in the vnimaniae in the cache of API or use of the picker on the basis of the tail for the management of the high -tenses.
The follow -up of this state and adapting it to your conquest, you can efficiently enhance your price -list in the Panda Python Panda Pada.