From c4dc23a9f890de5f0eccceab5ae2dc59b931fd1b Mon Sep 17 00:00:00 2001
From: Tobias Eidelpes <tobias@eidelpes.info>
Date: Fri, 14 May 2021 14:44:19 +0200
Subject: [PATCH] Replace NaNs with 0 in dataframe

---
 ex3/exercise3.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/ex3/exercise3.py b/ex3/exercise3.py
index 958f219..fd2932d 100644
--- a/ex3/exercise3.py
+++ b/ex3/exercise3.py
@@ -9,7 +9,7 @@ IMPORTANT: Remove leading space from column '# Bytes' in csv file or pandas
 won't read it correctly.
 '''
 
-dataset = pd.read_csv('./global_last10years.csv', index_col=0).dropna()
+dataset = pd.read_csv('./global_last10years.csv', index_col=0).fillna(0)
 
 # Convert unix timestamps to dates
 timestamps = mdate.epoch2num(dataset.index)
@@ -29,7 +29,7 @@ ts_uIPd = dataset.iloc[:,3]
 
 ### rep-14: Signals correlation ###
 
-print('Correlations between different columns (NaNs filtered):')
+print('Correlations between different columns (NaNs replace with 0):')
 print(dataset.corr(method='pearson').round(decimals=2))
 
 ### rep-15: Destinations/Sources ratio ###