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Fix path to csv files

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This commit is contained in:
Tobias Eidelpes 2021-05-14 19:08:09 +02:00
parent 55773f0bab
commit 3c9bdb3968
4 changed files with 5 additions and 5 deletions
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2
ex3/rep-14.py
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@ -6,7 +6,7 @@ won't read it correctly.
''' '''
# Read dataset and fill missing rows with zeroes # 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('Correlations between different columns (NaNs replace with 0):')
print(dataset.corr(method='pearson').round(decimals=2)) print(dataset.corr(method='pearson').round(decimals=2))

2
ex3/rep-15.py
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@ -2,7 +2,7 @@ import pandas as pd
from statistics import median from statistics import median
# Read dataset and fill missing rows with zeroes # 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) # List of unique source IPs per hour (daily avg)
ts_uIPs = dataset.iloc[:,2] ts_uIPs = dataset.iloc[:,2]

2
ex3/rep-16.py
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@ -3,7 +3,7 @@ import matplotlib.dates as mdate
from datetime import datetime from datetime import datetime
# Read dataset and fill missing rows with zeroes # 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) # List of unique source IPs per hour (daily avg)
ts_uIPs = dataset.iloc[:,2] ts_uIPs = dataset.iloc[:,2]

4
ex3/rep-17.py
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@ -2,8 +2,8 @@ import pandas as pd
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import numpy as np import numpy as np
dataset_hourly = pd.read_csv('data/team13_monthly.csv', index_col=0).dropna() dataset_hourly = pd.read_csv('csv/team13_monthly.csv', index_col=0).dropna()
dataset_daily = pd.read_csv('data/global_last10years.csv', index_col=0).dropna() dataset_daily = pd.read_csv('csv/global_last10years.csv', index_col=0).dropna()
table_a_info = { table_a_info = {
'total sum': dataset_hourly.sum(), 'total sum': dataset_hourly.sum(),