diff --git a/python/report.py b/python/report.py
index 89930fd..905ad13 100644
--- a/python/report.py
+++ b/python/report.py
@@ -14,6 +14,7 @@
 parser.add_argument('-f', '--filename')
 parser.add_argument('-n', '--nexp')
 parser.add_argument('-l', '--lang')
+parser.add_argument('-t', '--period')
 args = parser.parse_args()
 
 # localize
@@ -37,60 +38,67 @@
                  f'Sum of incoming for every user']}
 
 
-# load CSV
-df = pd.read_csv(args.filename)
-df['dt'] = pd.to_datetime(df['Time'])
-df['FloatValue'] = df[['Value']].astype(float)
+def whole_report(df, startDate):
+    # latest N expenses
+    print('{0} {1}:\n'.format(
+        sentences[args.lang][0],
+        startDate))
 
-recent = df.sort_values(by='dt', ascending=False)
-startdate = recent.dt.iloc[-1].date()
+    print(
+        df[['ID', 'Time', 'Value', 'User', 'Notes']]
+        .head(int(args.nexp))   # only print latest args.nexp expenses
+        .to_string(index=False))
 
-# latest N expenses
-print('{0} {1}:\n'.format(
-    sentences[args.lang][0],
-    startdate))
+    # balance
+    ntot = df.FloatValue.sum()
 
-print(
-    recent[['ID', 'Time', 'Value', 'User', 'Notes']]
-    .head(int(args.nexp))   # only print latest args.nexp expenses
-    .to_string(index=False))
+    print('\n{0}:\n{1:.2f} euro'.format(
+        sentences[args.lang][1],
+        ntot))
 
-# balance
-ntot = recent.FloatValue.sum()
+    usertot = pd.DataFrame(df[['User','FloatValue']].groupby('User', group_keys=True).sum())
 
-print('\n{0}:\n{1:.2f} euro'.format(
-    sentences[args.lang][1],
-    ntot))
+    print('\n{0}:'.format(sentences[args.lang][2]))
 
-usertot = pd.DataFrame(recent[['User','FloatValue']].groupby('User', group_keys=True).sum())
+    for user,value in usertot.iterrows():
+        print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
 
-print('\n{0}:'.format(sentences[args.lang][2]))
+    # outgoing
+    outgoing = df.loc[df['FloatValue'] < 0].FloatValue.sum()
+    userOut = pd.DataFrame(df[['User','FloatValue']].loc[df['FloatValue'] < 0].groupby('User', group_keys=True).sum())
 
-for user,value in usertot.iterrows():
-    print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
+    print('\n{0}:\n{1:.2f} euro'.format(
+        sentences[args.lang][3],
+        abs(outgoing)))
 
-# outgoing
-outgoing = recent.loc[recent['FloatValue'] < 0].FloatValue.sum()
-userOut = pd.DataFrame(recent[['User','FloatValue']].loc[recent['FloatValue'] < 0].groupby('User', group_keys=True).sum())
+    print('\n{0}:'.format(sentences[args.lang][4]))
 
-print('\n{0}:\n{1:.2f} euro'.format(
-    sentences[args.lang][3],
-    abs(outgoing)))
+    for user,value in userOut.iterrows():
+        print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
 
-print('\n{0}:'.format(sentences[args.lang][4]))
+    # incoming
+    incoming = df.loc[df['FloatValue'] >= 0].FloatValue.sum()
+    userIn = pd.DataFrame(df[['User','FloatValue']].loc[df['FloatValue'] >= 0].groupby('User', group_keys=True).sum())
 
-for user,value in userOut.iterrows():
-    print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
+    print('\n{0}:\n{1:.2f} euro'.format(
+        sentences[args.lang][5],
+        abs(incoming)))
 
-# incoming
-incoming = recent.loc[recent['FloatValue'] >= 0].FloatValue.sum()
-userIn = pd.DataFrame(recent[['User','FloatValue']].loc[recent['FloatValue'] >= 0].groupby('User', group_keys=True).sum())
+    print('\n{0}:'.format(sentences[args.lang][6]))
 
-print('\n{0}:\n{1:.2f} euro'.format(
-    sentences[args.lang][5],
-    abs(incoming)))
+    for user,value in userIn.iterrows():
+        print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
 
-print('\n{0}:'.format(sentences[args.lang][6]))
+if __name__ == '__main__':
+    # load CSV
+    input = pd.read_csv(args.filename)
+    input['dt'] = pd.to_datetime(input['Time'])
+    input['FloatValue'] = input[['Value']].astype(float)
 
-for user,value in userIn.iterrows():
-    print('{0}: {1:.2f} euro'.format(user,abs(value.values[0])))
+    df = input.sort_values(by='dt', ascending=False)
+    startDate = df.dt.iloc[-1].date()
+
+    if not args.period:
+        whole_report(df, startDate)
+    else:
+        print(args.period)
diff --git a/python/report.sh b/python/report.sh
index 21103ef..0a5254a 100755
--- a/python/report.sh
+++ b/python/report.sh
@@ -1,11 +1,23 @@
 #!/bin/bash
 
-if [[ "$#" -ne 3 ]]; then
-    echo "Usage: ./report.sh <filename> <nexp> <lang>"
+function print_usage() {
+    echo "Usage: ./report.sh <filename> <nexp> <lang> <optional: time period>"
+}
+
+if [[ "$#" -lt 3 ]]; then
+    print_usage
     exit 1
 fi
 
 DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
 
 source ${DIR}/bin/activate
-python3 ${DIR}/report.py -f $1 -n $2 -l $3
+
+if [[ "$#" -eq 3 ]]; then 
+    python3 ${DIR}/report.py -f $1 -n $2 -l $3
+elif [[ "$#" -eq 4 ]]; then
+    python3 ${DIR}/report.py -f $1 -n $2 -l $3 -t $4
+else
+    print_usage
+    exit 1
+fi