From c1dfaa7b6836222abbbfd7fd64a152d4de9a4ebe Mon Sep 17 00:00:00 2001
From: "aurian.jault" <aurian.jault@etu.uca.fr>
Date: Wed, 19 Jun 2024 08:08:00 +0200
Subject: [PATCH] adding stuff

---
 main.py              |  7 ++++++-
 src/back/load_csv.py |  5 +++--
 src/back/show_csv.py | 16 ++++++++++++++++
 3 files changed, 25 insertions(+), 3 deletions(-)
 create mode 100644 src/back/show_csv.py

diff --git a/main.py b/main.py
index 8a8212c..31aa73b 100755
--- a/main.py
+++ b/main.py
@@ -3,10 +3,15 @@ import sys
 sys.path.append('./src/back/')
 
 import load_csv as l 
+import show_csv as s 
 
 df = l.return_csv("./data.csv")
 l.csv_value(df)
 
 l.csv_value(df)
 
-l.csv_stadadisation_Z(df,"Vehicle Year")
+# l.csv_stadardisation_Z(df,"Vehicle Year")
+
+s.histo_col(df,"Speed Limit")
+
+s.plotBoxWhisker(df)
diff --git a/src/back/load_csv.py b/src/back/load_csv.py
index 4438e2b..870fe72 100644
--- a/src/back/load_csv.py
+++ b/src/back/load_csv.py
@@ -1,5 +1,6 @@
 import pandas as pd
 import numpy  as np
+import matplotlib.pyplot as plt
 
 def return_csv(path):
     df = pd.read_csv(path)
@@ -27,9 +28,9 @@ def csv_norm_min_max(df,col):
     df[col] = (df[col] - df[col].min()) / (df[col].max() - df[col].min())
     return df
 
-def csv_stadadisation_Z(df,col):
+def csv_stadardisation_Z(df,col):
     mean_col1 = df[col].mean()
     std_col1 = df[col].std()
     df[col] = (df[col] - mean_col1) / std_col1
     return df[col]
-    
+
diff --git a/src/back/show_csv.py b/src/back/show_csv.py
new file mode 100644
index 0000000..93d9973
--- /dev/null
+++ b/src/back/show_csv.py
@@ -0,0 +1,16 @@
+import pandas as pd
+import numpy  as np
+import matplotlib.pyplot as plt
+
+def histo_col(df,colonne):
+    plt.figure()
+    plt.hist(df[colonne], bins=int(df[colonne].nunique()/4), alpha=0.7, color='blue', edgecolor='black')
+    plt.title(f"Histogramme de la colonne '{colonne}'")
+    plt.xlabel(colonne)
+    plt.ylabel("Fréquence")
+    plt.grid(True)
+    plt.show()
+
+def plotBoxWhisker(df):
+    df.plot(kind='box', subplots=True, sharex=False, sharey=False)
+    plt.show()