From 3c9bdb39681465d1b1f38990ea94d5432e1e7573 Mon Sep 17 00:00:00 2001 From: Tobias Eidelpes Date: Fri, 14 May 2021 19:08:09 +0200 Subject: [PATCH] Fix path to csv files --- ex3/rep-14.py | 2 +- ex3/rep-15.py | 2 +- ex3/rep-16.py | 2 +- ex3/rep-17.py | 4 ++-- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/ex3/rep-14.py b/ex3/rep-14.py index 74a7776..8c42070 100644 --- a/ex3/rep-14.py +++ b/ex3/rep-14.py @@ -6,7 +6,7 @@ won't read it correctly. ''' # Read dataset and fill missing rows with zeroes -dataset = pd.read_csv('data/global_last10years.csv', index_col=0).fillna(0) +dataset = pd.read_csv('csv/global_last10years.csv', index_col=0).fillna(0) print('Correlations between different columns (NaNs replace with 0):') print(dataset.corr(method='pearson').round(decimals=2)) diff --git a/ex3/rep-15.py b/ex3/rep-15.py index ebeab18..0a6c159 100644 --- a/ex3/rep-15.py +++ b/ex3/rep-15.py @@ -2,7 +2,7 @@ import pandas as pd from statistics import median # Read dataset and fill missing rows with zeroes -dataset = pd.read_csv('data/global_last10years.csv', index_col=0).fillna(0) +dataset = pd.read_csv('csv/global_last10years.csv', index_col=0).fillna(0) # List of unique source IPs per hour (daily avg) ts_uIPs = dataset.iloc[:,2] diff --git a/ex3/rep-16.py b/ex3/rep-16.py index e6c27e1..d1eaf38 100644 --- a/ex3/rep-16.py +++ b/ex3/rep-16.py @@ -3,7 +3,7 @@ import matplotlib.dates as mdate from datetime import datetime # Read dataset and fill missing rows with zeroes -dataset = pd.read_csv('data/global_last10years.csv', index_col=0).fillna(0) +dataset = pd.read_csv('csv/global_last10years.csv', index_col=0).fillna(0) # List of unique source IPs per hour (daily avg) ts_uIPs = dataset.iloc[:,2] diff --git a/ex3/rep-17.py b/ex3/rep-17.py index 71e217c..812cdd0 100644 --- a/ex3/rep-17.py +++ b/ex3/rep-17.py @@ -2,8 +2,8 @@ import pandas as pd import matplotlib.pyplot as plt import numpy as np -dataset_hourly = pd.read_csv('data/team13_monthly.csv', index_col=0).dropna() -dataset_daily = pd.read_csv('data/global_last10years.csv', index_col=0).dropna() +dataset_hourly = pd.read_csv('csv/team13_monthly.csv', index_col=0).dropna() +dataset_daily = pd.read_csv('csv/global_last10years.csv', index_col=0).dropna() table_a_info = { 'total sum': dataset_hourly.sum(),