init

app.py

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+import pandas as pd
+import streamlit as st
+
+from plot_data import plotly_plot
+
+
+def main():
+    st.markdown("<h2 style='text-align: left; color: black; font-family:Arial;font-size:2.25rem;'>Datenanalyse</h2>",  unsafe_allow_html=True)
+
+    uploaded_file = st.file_uploader("CSV hochladen", type=["csv"])
+
+    if uploaded_file is not None:
+            try:
+                df = pd.read_csv(uploaded_file)
+            except pd.errors.EmptyDataError:
+                st.error("Fehler: Leere CSV Datei")
+            except Exception as e:
+                st.error(f"Error: {str(e)}")
+
+
+    tab1, tab2 = st.tabs(["Import", "Analyse"])
+
+    with tab1:
+
+        if uploaded_file is not None:
+
+            mittelwert = st.slider("Gleitender Mittelwert", 0, 1000, 0, 10)
+
+            time_column = st.selectbox("Zeit auswählen", df.columns, index=0)
+            data_column = st.selectbox("Daten auswählen", df.columns)     
+
+            if time_column == data_column:
+                 st.write("Zeit und Daten können nicht gleich sein")
+
+            try:
+                fig = plotly_plot(df, time_column, data_column, mittelwert)
+                fig.update_layout(width = 1200, height = 600)
+                st.plotly_chart(fig)
+            except:
+                 pass
+
+    with tab2:
+         pass
+
+if __name__ == "__main__":
+    main()

plot_data.py

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+import pandas as pd
+import plotly.graph_objects as go
+from plotly_resampler import FigureResampler, FigureWidgetResampler
+
+
+
+def plotly_plot(df, time_column, data_column, mittelwert):
+        
+
+        if mittelwert > 0:
+            df[data_column] = df[data_column].rolling(mittelwert).mean()
+
+        fig = FigureWidgetResampler(go.Figure())
+        
+        fig.add_trace(go.Scatter(x=df[time_column], y=df[data_column], mode='lines', name=data_column))
+        
+        fig.update_layout(
+            xaxis=dict(
+                showline=True,
+                showgrid=True,
+                showticklabels=True,
+                linecolor='black',
+                linewidth=1.5,
+                ticks='outside',
+                tickfont=dict(
+                    family='Arial',
+                    size=14,
+                    color='black'
+                ),
+            ),
+            yaxis=dict(
+                showgrid=True,
+                zeroline=True,
+                showline=True,
+                showticklabels=True,
+                linecolor='black',
+                linewidth=1.5,
+                ticks='outside',
+                tickfont=dict(
+                    family='Arial',
+                    size=14,
+                    color='black'
+                ),
+            ),
+            autosize=True,
+            margin=dict(
+                autoexpand=True,
+                l=100,
+                r=20,
+                t=110,
+            ),
+            showlegend=True,
+            plot_bgcolor='white'
+        )
+        
+        return fig
+
+