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A tool which pairs Pandas to LND Lightning Network Data for Data Science

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lnpanda

lnpanda allows you to query Bitcoin lightning network data using Pandas dataframes. Pandas is a powerful data science tool, and the combination can be used to find insights about your node. In addition, pandas dataframes are a just convenient and powerful way to interact with your node, while staying on the command line!

Install

pip install lnpanda

Environment Variables

Add information like node ip address, and directory containing:

  • tls.cert
  • admin.macaroon
export CRED_PATH=/path/to/macaroon/and/tls/cert
export LND_NODE_IP=192.168.1.xx

Basic Usage

from lnpanda import lnpanda

# initialize lnpanda object
a = lnpanda()

# Get info about channel balances and fee rates in 1 view 
a.list_channels_and_fees()

# List routed transactions, shows eff_fee_rate of fwd
a.list_forwards()

Using pandas queries

# List channels with a fee rate > 100
a.list_channels_and_fees().query("fee_rate > 0.000100")

# Get sum of latest 25 routed transactions in sats
a.list_forwards().tail(25).fee_msat.sum()/1000

# Get a set of alias' of the last 10 outgoing forwards
outgoing_chan_ids = list(a.list_forwards().tail(10).chan_id_out)
set(map(lambda x: a.get_peer_alias(x), outgoing_chan_ids))

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A tool which pairs Pandas to LND Lightning Network Data for Data Science

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