adding stuff

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)

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)
@@ -27,7 +28,7 @@ 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

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()