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pinto_balances.py

@@ -133,6 +133,58 @@ wash_two = [
     "F2Zx2oqGx7zru5HNweUVNF571LA9P92abNZFLWTghF2d",
 ]
 
+wash_three = [
+    "84QJoctZwUTS8UCZCxZJ2eG2YX6gobURoWpXyQ4tga33",
+    "12rbViXQsw3r8ogytjZ2N9xUBxxRW1d4DxZR58DcoDyU",
+    "J4aa4DtS1L65PCXiFU2rtj5i7ZKLpCAFXtEn6gZmizhp",
+    "4htzqb9VXhTQp7Sm8f57VMHXyDHY7ZkCw3rKJn9DANU8",
+    "917kHtpfnAvsXteqe5vn2gF78U6iKEjbp9FciWsbEMqa",
+    "5ZgGeJWStjiVDP1WfdQqErCa2RCX1HUePes2GVkcjggN",
+    "9gyj4ByrhqAqyTPfbBVDTxyMNq9vjb3NbbC9oeJ9D8K4",
+    "4nyTSkSgF9dfjUkjtAi51aS7zDFAxi7tNrTCoef2DYDJ",
+    "GfXL1yuv5SSd8w2WKsrEZTSSrW7bpJttsML4A6cjDYRm",
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+    "3cvASoAxiRPZ9HoiHVYsqTYWUuF6Nz95GJgnDeNYvfmV",
+    "9fYiQgdVHDNexiudgtWvwjUnkQNUVUkMTvPijTe3VaaQ",
+    "Fio4y9jBvF6kqXkxDT5MHRVQNecH4gG9JcVgo7zSmVF8",
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+    "5cNTgzN1S9kdrhNdLoqYfXprksiDqJpQYH4in7hpZiPG",
+    "J27z7rZWzPbuCGV5avwexrR2kAkD7aCCzKwV5EW1eQD5",
+    "4JpaYfyM7r1XW6jRdE3cVWscjmX3bdVwLg8D6zXKhK1F",
+    "4zP9H6B1R7HgSMvVuFFxi7t1v4iWP1V5zVBSMVYoyW4B",
+    "A4wpbumV3VSfzQszycgFG67E73AUxHaikX4gAgcTTrex",
+    "DNxyAjW2FYqqFmcW5yeJotRbxu6DLDBkgMzTyZbjE2cq",
+    "67WJN3sqppZC6snvD9Bx8tJqjUPcsx71NVpgrifnSnQc",
+    "BfG3WvghD732zGyDbv86C43zj8tU92v9xx7Wm81WmBFd",
+    "5v5GZjv84ysm9PxtRyyBP1SndVZYz97gErPMsGeyWJ6V",
+    "G8hj236oYULFJF3sHMJV5bna8syp1ks4JrEQQnMaTwMi",
+    "85SoPoBHK4mQ3guCnn1wdjjkWNukdvLrRGkeNDsiRafz",
+    "J8CHCJRdgfe8PmkoyVk2vS49w9Wmq2zgt5Kc6B2y9Nu8",
+    "BfmQnFDqbPEL64NpKjzjQxZJmvxbodTRJFsty4wUHgvw",
+    "4oBeH3RHaKbtpy95622LUpAueCZ67VxaGTnw7ncdf2Kp",
+    "DZdQKuRWWkXSeP3mhPkL6ftt1tgA4jFezjyLF4gQmMKL",
+    "9LS4CH3mnq8DtxLqhKcCCP593ooyynqEdWWJvBfZ5HKr",
+    "8RojecMuR3CFUx8g557b5NV5Fj9PWsUHxHxoEmBHmcND",
+    "DPfWKBsdAAJMADXrz822iEqM1DUkYtcNDQdgkYLF1Yt",
+    "75gwNNDPLBcUjrWiy6QXELftFR7gPkKsxNzdApq1YSFa"
+]
+
 
 def parse_solscan_results(results):
     if isinstance(results, dict):
@@ -224,7 +276,6 @@ def parse_solscan_results_addresses(results):
 
 async def get_sol_balances(sol_addresses):
     SOLSCAN_KEY = os.getenv('SOLSCAN_KEY')
-    
     headers = {
         "token": SOLSCAN_KEY
     }
@@ -283,13 +334,13 @@ async def get_all_dfs():
         df[num_cols] = df[num_cols].applymap(lambda x: f"{x:,.3f}")'''
 
     format_cols = combined_df.columns.drop("symbol")
-    combined_df[format_cols] = combined_df[format_cols].applymap(lambda x: f"{x:,.2f}")
+    combined_df[format_cols] = combined_df[format_cols].apply(lambda x: f"{x:,.2f}")
     all_wallets = pd.concat([initial,cleaned_wallets])
     all_wallets_total = pd.DataFrame(all_wallets.drop(columns=["address"]).sum()).T
     all_wallets_total["address"] = "Total"
     all_wallets = pd.concat([all_wallets, all_wallets_total], ignore_index=True)
     num_cols = all_wallets.columns.drop("address")
-    all_wallets[num_cols] = all_wallets[num_cols].applymap(lambda x: f"{x:,.3f}")
+    all_wallets[num_cols] = all_wallets[num_cols].apply(lambda x: f"{x:,.3f}")
 
     return all_wallets,combined_df
 

pinto_holdings_washed.csv

@@ -0,0 +1,65 @@
+address,PINTO,SOL
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