def cm_getmetric(asset, metric, date_start, date_end):
# this function grabs the metric for asset within the specified date range,
# removes the timezone, sets the date as an index and changes the column name to
# the name of the metric
# Initialize a reference object, in this case `cm` for the Community API
cm = coinmetrics.Community()
# grab data from CM - h/t permabull nino
data = cmdc.combo_convert(
cm.get_asset_data_for_time_range(asset, metric, date_start, date_end))
# remove timezone from date
data['date'] = data['date'].dt.tz_convert(None)
# rename columns to date and metric
output = data.rename(columns={"date": "date", "data": metric})
# purge
del data
# return output data
return output
import pandas as pd import ta import json import math import numpy as np import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText import requests import io from datetime import date import datetime # In[32]: cm = coinmetrics.Community() # In[33]: asset = "eth" # In[34]: available_data_types = cm.get_available_data_types_for_asset(asset) available_data_types # In[35]: #Initiates current time now = datetime.datetime.now() #Converts to a timestamp unit
import pandas as pd
import coinmetrics as cm
import requests
import json
import plotly.graph_objs as go
import plotly.offline as po
import datetime
import time
import san
com = cm.Community()
api = '041e6774-857f-4533-83ef-3baf35d1568e'
projects = san.get("projects/all")
def cm_metric(asset,metric,start_date):
asset = asset.lower()
data = com.get_asset_metric_data(asset=asset,metrics=metric,start=start_date,end=datetime.datetime.now().strftime("%Y-%m-%d"))
df = cm.cm_to_pandas(data)
df.index = pd.to_datetime(df.index)
return df
def gn_AdrActCnt(asset,start_date):
start_date = int(time.mktime(datetime.datetime.strptime(start_date, "%Y-%m-%d").timetuple()))
url = 'https://api.glassnode.com/v1/metrics/addresses/active_count?a='+ asset + '&s=' + str(start_date) + '&api_key=' + api
r = requests.get(url=url)
data = json.loads(r.content)
# Import Coinmetrics API
from checkonchain.general.__init__ import *
import coinmetrics
cm = coinmetrics.Community(
) # Initialize a reference object, in this case `cm` for the Community API
class Coinmetrics_api:
def __init__(self, asset, begin_timestamp, end_timestamp):
print('...Fetching Coinmetrics API for ' + asset + '...')
# List all available metrics for BTC.
self.asset = asset
self.begin_timestamp = begin_timestamp
self.end_timestamp = end_timestamp
self.topcapconst = 35
def collect_data(self):
available_data_types = cm.get_available_data_types_for_asset(
self.asset)
metric_list = str(
(','.join(available_data_types))) #setup complete metric list
#print(metric_list)
asset_data = cm.get_asset_data_for_time_range(self.asset, metric_list,
self.begin_timestamp,
self.end_timestamp)
return asset_data
def convert_to_pd(self):
asset_data = Coinmetrics_api.collect_data(self)
df = coinmetrics.cm_to_pandas(asset_data)