Update app.py

app.py

@@ -21,7 +21,7 @@ os.environ['PANDASAI_API_KEY'] = "$2a$10$2s0v3C29vItNS2CO4QX10OV51/OONFCUNa4e9EU
 st.set_page_config(page_title="SAP Data Analysis", layout="wide")
 st.image('Pandas-AI-Logo.png', caption=None)
 #import pandas as pd
-df = pd.DataFrame({
+df2 = pd.DataFrame({
   "row1": {
     "Feb 24": "Februar",
     "1.": "Do",
@@ -89,6 +89,31 @@ df = pd.DataFrame({
 }
 )
 #st.bar_chart(df)
+data = [{"Feb 24":"","1.":"Do","2.":"Fr","3.":"Sa","4.":"So","5.":"Mo","6.":"Di","7.":"Mi","8.":"Do","9.":"Fr","10.":"Sa","11.":"So","12.":"Mo","13.":"Di","14.":"Mi","15.":"Do","16.":"Fr","17.":"Sa","18.":"So","19.":"Mo","20.":"Di","21.":"Mi","22.":"Do","23.":"Fr","24.":"Sa","25.":"So","26.":"Mo","27.":"Di","28.":"Mi","29.":"Do"},{"Feb 24":"Standke Steffen","1.":"F","2.":"F","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"","13.":"","14.":"UA","15.":"UA","16.":"","17.":"SD","18.":"SD","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Will Susanne","1.":"","2.":"TZ","3.":"","4.":"","5.":"UA","6.":"","7.":"","8.":"","9.":"TZ","10.":"","11.":"","12.":"","13.":"","14.":"","15.":"","16.":"TZ","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"TZ","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Raab Julia","1.":"TZ","2.":"TZ","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"TZ","9.":"TZ","10.":"BLOCKER","11.":"","12.":"Ü","13.":"Ü","14.":"Ü","15.":"TZ","16.":"TZ","17.":"BLOCKER","18.":"","19.":"","20.":"","21.":"","22.":"TZ","23.":"TZ","24.":"","25.":"SD","26.":"","27.":"","28.":"","29.":"TZ"},{"Feb 24":"Eckert Marion","1.":"","2.":"","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"Ü","10.":"","11.":"","12.":"S","13.":"S","14.":"S","15.":"S","16.":"S","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"S","27.":"S","28.":"S","29.":"S"},{"Feb 24":"Meder, Milena","1.":"","2.":"","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"F","13.":"F","14.":"","15.":"F","16.":"F","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"Voloreise","27.":"","28.":"","29.":""},{"Feb 24":"Despang Angelika","1.":"","2.":"","3.":"SD","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"UA","13.":"UA","14.":"UA","15.":"","16.":"","17.":"","18.":"","19.":"F","20.":"F","21.":"F","22.":"F","23.":"F","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Heike Beudert","1.":"TZ","2.":"0,5 U","3.":"","4.":"","5.":"TZ","6.":"","7.":"","8.":"","9.":"","10.":"SD","11.":"SD","12.":"UA","13.":"UA","14.":"TZ","15.":"TZ","16.":"TZ","17.":"","18.":"","19.":"TZ","20.":"TZ","21.":"TZ","22.":"TZ","23.":"TZ","24.":"","25.":"","26.":"F","27.":"F","28.":"F","29.":"F"},{"Feb 24":"Borst Benedikt","1.":"","2.":"","3.":"","4.":"SD","5.":"F","6.":"F","7.":"F","8.":"F","9.":"F","10.":"BLOCKER","11.":"","12.":"UA","13.":"UA","14.":"F","15.":"","16.":"","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"BLOCKER","25.":"","26.":"","27.":"","28.":"","29.":""}]
+df = pd.DataFrame(data)
+
+
+# Erzeuge ein leeres Balkendiagramm
+fig, ax = plt.subplots()
+ax.bar(range(len(data['Angestellte'])), [0] * len(data['Angestellte']))
+
+# Loop durch die Angestellten
+for i, angestellter in enumerate(data['Angestellte']):
+    fruehschichten = 0
+    # Loop durch die Schichten
+    for schicht in angestellter['Schichten']:
+        if schicht == 'F':
+            fruehschichten += 1
+    # Set the x-value to the index of the angestellter
+    ax.bar(i, fruehschichten)
+
+# Setze den Titel und die Achsenbeschriftungen
+ax.set_title('Frühschichten pro Angestellter')
+ax.set_xlabel('Angestellter')
+ax.set_ylabel('Anzahl Frühschichten')
+
+# Zeige das Diagramm
+st.pyplot(fig)
 
 uploaded_file = st.file_uploader("Upload CSV data for analysis", type=['csv'])
 #st.title("Datenanalyse mit PandasAI")