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client.get_symbol_info('BNBBTC')

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tickers = pd.DataFrame(client.get_all_tickers()) 
tickers

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#Check if client is working
client.get_system_status()
#get server time (does not need to match your timezone)
server_time = client.get_server_time() pd.to_datetime(server_time['serverTime'], unit = "ms")

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#client = Client(api_key, api_secret) #only needed for buying and selling crypto assets 
client = Client()

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import pandas as pd 
from binance.client import Client
import plotly.graph_objects as go

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pip install python-binance

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chart_config = (
    chart
    .configure_title(
        fontSize = 40,
        font = "Staatliches",
        align = "center",
        color = "black",
        baseline = "bottom",
        dy = 40
    ).configure_view(

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chart = (
    alt.Chart(pd.concat([df_ll, df_rl, df_ll_weeks]))
    .mark_square(
        color = "black",
        size = 100 / 2
    ).encode(
        x = alt.X("week", axis = None),
        y = alt.Y("year", axis = None),
        #color = alt.Color("label", legend = alt.Legend(orient = "bottom"), title = ""),
        #shape=alt.ShapeValue(person)

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df_ll_weeks = pd.DataFrame(columns = ['week', 'year', 'label'])

for week in range (lived_life_weeks_floor):
    df_ll_weeks = df_ll_weeks.append(pd.DataFrame({
        'week':[week],
        'year':[lived_life_years_floor],
        'label':[c_label_lived]
    }))

df_ll_weeks = df_ll_weeks.append(pd.DataFrame({

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lived_life = current_date - day_of_birth
rest_of_life = day_of_death - current_date

lived_life_years = (lived_life.days / 365.25)
lived_life_years_floor = math.floor(lived_life_years)

lived_life_weeks = (lived_life_years - lived_life_years_floor) * 365.25 / 7
lived_life_weeks_floor = math.floor(lived_life_weeks)

rest_of_life_years = (rest_of_life.days / 365.25)