Matters matplotlib.pyplot as PLT

Matters matplotlib.dates like mdates

Import number such as NP

It matters yfinance like yf

From DateTime import datetime, Timelta

Get the current hour (it will be displayed as axis X)

Start_date = datetime.today (). Strftime ('%Y-%M-%D')

end_date = (datetime.today () -Timedelta (days = 30)). Strftime ('%Y-%M-%D')

Define the Api point for Ethereum prices

apiendpoint = "

Set Parameters for the API request

Params = {

"Symbol": "et",

"Interval": "1m",

"Limit": 100,

the maximum number of databases to be recovered

'Timerge': start_date + ',' + end_date,

}

Send the API application and get the answer

Answer = YF.GET (Apiendpoint, Params = Params)

Convert the answer to a Panda flopherme

DF = Pd.Datrame (Reply) .t

Create Axis X data (index) from 1 to 100 (assuming that we need at least 100 data points)

Data = Np.arange (1, Len (DF.Columns))

Set the format of the date for matplotlib

PLT.GCA (). Xaxis.set_major_formatter (mdates.dateformatter ('%y-%m-%d'))

Take the candles chart

PLT.Figura (Fussize = (14,10))

For the interval (Len (data) -1):

PLT.PLOT ([I0.01, (I+1)0.01], [DF.LOl [I, 'Chiust']. Mean (), DF.LOl [I+1, 'closed']. = 'G ')

Otherwise (I == Len (DF.Columns) - 2):

Do not connect the last candle

PLT.PLOT ([I0.01, i0.01 + 0.01], [DF.LOl [I, 'high']. Mean (), DF.Loc [I + 1, 'high'] average ()], color = 'g')

Elif (I == Len (DF.Columns) - 2):

Do not trace the first candle

PLT.PLOT ([I0.01, i0.01 + 0.02], [DF.LOl [I, 'Basso']. Mean (), DF.LOl [I + 1, 'Basso'] average ()], color = 'g')

PLT.XLABEL ('Data')

PLT.YLabel ('Price (USD)')

PLT.Title ("Ethereum candles graphic")

plt.show ()