diff --git a/mesures/p2d.py b/mesures/p2d.py
index 81ff136..faa70ab 100644
--- a/mesures/p2d.py
+++ b/mesures/p2d.py
@@ -5,6 +5,7 @@
 from mesures.utils import check_line_terminator_param
 from zipfile import ZipFile
 import os
+import pandas as pd
 
 
 class P2D(P2):
@@ -41,6 +42,45 @@ def zip_filename(self):
             version=self.version
         )
 
+    def reader(self, filepath):
+        if isinstance(filepath, str):
+            df = pd.read_csv(filepath, sep=';', names=self.columns)
+        elif isinstance(filepath, list):
+            df = pd.DataFrame(data=filepath)
+        else:
+            raise Exception("Filepath must be an str or a list")
+
+        df['tipo_medida'] = 11
+        df.groupby(
+            ['cups', 'tipo_medida', 'timestamp', 'season', 'method']
+        ).aggregate(
+            {'ai': 'sum',
+             'ae': 'sum',
+             'r1': 'sum',
+             'r2': 'sum',
+             'r3': 'sum',
+             'r4': 'sum'}
+        )
+
+        df['timestamp'] = df['timestamp'].apply(lambda x: x.strftime(DATETIME_MASK))
+
+        df['method'] = 1
+        df['res'] = 0
+        df['res2'] = 0
+
+        df['ai'] = df['ai'].astype('int')
+        df['ae'] = df['ae'].astype('int')
+        df['r1'] = df['r1'].astype('int')
+        df['r2'] = df['r2'].astype('int')
+        df['r3'] = df['r3'].astype('int')
+        df['r4'] = df['r4'].astype('int')
+
+        for key in self.columns:
+            if 'quality' in key and key not in df:
+                df[key] = 0
+        df = df[self.columns]
+        return df
+
     def writer(self):
         """
         P2D contains all curve measure in one file
diff --git a/spec/generation_files_spec.py b/spec/generation_files_spec.py
index c5a536f..ce69bfd 100644
--- a/spec/generation_files_spec.py
+++ b/spec/generation_files_spec.py
@@ -35,6 +35,7 @@
 import numpy as np
 import zipfile
 
+DELETE_FILES = 'rm -rf *.bz2 *.zip *.[0123456789]'
 
 class SampleData:
     @staticmethod
@@ -118,10 +119,10 @@ def get_sample_p2d_data():
 
         data_p2d = [basic_p2d.copy()]
 
-        ts = "2022-01-01 01:00:00"
-        for x in range(50):
+        ts = "2022-01-01 00:15:00"
+        for x in range(360):
             datas = basic_p2d.copy()
-            ts = (datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') + timedelta(hours=1)).strftime('%Y-%m-%d %H:%M:%S')
+            ts = (datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') + timedelta(minutes=15)).strftime('%Y-%m-%d %H:%M:%S')
             ai = randint(0, 5000)
             ae = randint(0, 2)
             r1 = randint(0, 30)
@@ -132,10 +133,10 @@ def get_sample_p2d_data():
             data_p2d.append(datas)
 
         cups = "ES0012345678923456780F"
-        ts = "2022-01-01 00:00:00"
-        for x in range(70):
+        ts = "2022-01-01 00:15:00"
+        for x in range(360):
             datas = basic_p2d.copy()
-            ts = (datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') + timedelta(hours=1)).strftime('%Y-%m-%d %H:%M:%S')
+            ts = (datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') + timedelta(minutes=15)).strftime('%Y-%m-%d %H:%M:%S')
             ai = randint(0, 5000)
             ae = randint(0, 2)
             r1 = randint(0, 30)
@@ -903,7 +904,7 @@ def get_sample_cups45_data():
         f1 = f.writer()
         assert isinstance(f1, str)
 
-with description('A P2D'):
+with fdescription('A P2D'):
     with it('is instance of P2D Class'):
         data = SampleData().get_sample_p2d_data()
         f = P2D(data)