From 8fea6cb9c5557d70dafa8f8d169bf399c1f585c8 Mon Sep 17 00:00:00 2001 From: charlie sutton Date: Fri, 15 Feb 2019 12:21:04 +0100 Subject: [PATCH 1/4] Initialize script.py file and add package imports --- script.py | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 script.py diff --git a/script.py b/script.py new file mode 100644 index 0000000..df39e65 --- /dev/null +++ b/script.py @@ -0,0 +1,2 @@ +import numpy as np +import pandas as pd From d02cb15f2148f856925c039e3a73925a178751ab Mon Sep 17 00:00:00 2001 From: charlie sutton Date: Fri, 15 Feb 2019 12:23:20 +0100 Subject: [PATCH 2/4] add dataset read and na processing --- script.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/script.py b/script.py index df39e65..2a5c05e 100644 --- a/script.py +++ b/script.py @@ -1,2 +1,8 @@ import numpy as np import pandas as pd + +# lecture du dataset +df = pd.read_csv("dataset_vma.csv") + +# remplace des valeurs "na" par des rééls NA +df.replace("na",np.nan) From 741c24f8258dba5a0ba411d6ff10b6ba7dd6e7c3 Mon Sep 17 00:00:00 2001 From: charlie sutton Date: Fri, 15 Feb 2019 12:28:19 +0100 Subject: [PATCH 3/4] add diameter col --- script.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/script.py b/script.py index 2a5c05e..958b6ff 100644 --- a/script.py +++ b/script.py @@ -6,3 +6,5 @@ # remplace des valeurs "na" par des rééls NA df.replace("na",np.nan) + +df["diameter"] = np.sqrt(df["d1"]**2 + df["d2"]**2) From 0dda61283ccbe25a79e706c14cca84e535b5b498 Mon Sep 17 00:00:00 2001 From: charlie sutton Date: Fri, 15 Feb 2019 12:35:08 +0100 Subject: [PATCH 4/4] convert d1 and d2 col to float --- script.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script.py b/script.py index 958b6ff..5cb58d1 100644 --- a/script.py +++ b/script.py @@ -7,4 +7,4 @@ # remplace des valeurs "na" par des rééls NA df.replace("na",np.nan) -df["diameter"] = np.sqrt(df["d1"]**2 + df["d2"]**2) +df["diameter"] = np.sqrt(df["d1"].astype(int)**2 + df["d2"].astype(int)**2)