added mostly

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/hdfc-bank-statement.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="DuplicatedCode" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <Languages>
+        <language minSize="529" name="Python" />
+      </Languages>
+    </inspection_tool>
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="4">
+            <item index="0" class="java.lang.String" itemvalue="beautifulsoup4" />
+            <item index="1" class="java.lang.String" itemvalue="pandas" />
+            <item index="2" class="java.lang.String" itemvalue="streamlit" />
+            <item index="3" class="java.lang.String" itemvalue="requests" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyPep8Inspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredErrors">
+        <list>
+          <option value="E501" />
+          <option value="E701" />
+          <option value="W191" />
+          <option value="E101" />
+          <option value="E402" />
+        </list>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredErrors">
+        <list>
+          <option value="N803" />
+          <option value="N806" />
+        </list>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredIdentifiers">
+        <list>
+          <option value="sis.roll" />
+          <option value="list.__getitem__" />
+        </list>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (GPAEstimator2.0)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/hdfc-bank-statement.iml" filepath="$PROJECT_DIR$/.idea/hdfc-bank-statement.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

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+import streamlit as st
+import pandas as pd
+from datetime import date, datetime
+import plotly.express as px
+
+st.title('Visualize Your HDFC Bank Statement')
+st.write('Export your HDFC Bank statement as a XLS file and drop it here to analyze your expenses')
+st.write("Note: We don't store your data. It's all done locally on your machine")
+
+sample_statements = ["https://github.com/myselfshravan/Python/files/10087176/statement23.xls",
+                     "https://github.com/myselfshravan/Streamlit-Apps-Python/files/11287111/Acct.Statement_2022_Full.xls"]
+agree = st.checkbox('Use Sample Statement')
+if agree:
+    uploaded_file = st.selectbox('Select Sample Statement', sample_statements)
+else:
+    uploaded_file = st.file_uploader("Choose a xls formate file of HDFC Bank Statement", type="xls")
+
+if uploaded_file is not None:
+    df = pd.read_excel(uploaded_file)
+    df = df.iloc[21:-18]
+    df = df.drop(df.columns[[0, 2]], axis=1)
+    df = df.drop(df.index[1])
+    df = df.fillna(0)
+    df.rename(
+        columns={'Unnamed: 1': 'UPIs', 'Unnamed: 3': 'Date', 'Unnamed: 4': 'Withdrawal', 'Unnamed: 5': 'Deposited',
+                 'Unnamed: 6': 'Balance'},
+        inplace=True)
+
+    df['Date'] = pd.to_datetime(df['Date'], format='%d/%m/%y').dt.date
+    df['Withdrawal'] = df['Withdrawal'].apply(lambda x: "{:.1f}".format(x)).astype(float)
+    df['Deposited'] = df['Deposited'].apply(lambda x: "{:.1f}".format(x)).astype(float)
+    df['Balance'] = df['Balance'].astype(float)
+    df['UPIs'] = df['UPIs'].astype(str)
+    df['UPIs'] = df['UPIs'].str.split('@', expand=True)[0]
+    df['UPIs'] = df['UPIs'].str.split('-', expand=True)[1]
+    df.index = range(1, len(df) + 1)
+
+    start_date = df['Date'].iloc[0].strftime("%B %d %Y")
+    end_date = df['Date'].iloc[-1].strftime("%B %d %Y")
+
+    start = datetime.strptime(df['Date'].iloc[0].strftime('%d/%m/%y'), '%d/%m/%y')
+    end = datetime.strptime(df['Date'].iloc[-1].strftime('%d/%m/%y'), '%d/%m/%y')
+    st.write(f"Statement Period: {start_date} to {end_date}")
+    days = (end - start).days
+    st.write(f"Number of Days: {days}")
+    total_withdrawal = df['Withdrawal'].sum()
+    total_deposit = df['Deposited'].sum()
+    st.write(f"Total Withdrawal and Deposit: Rs {total_withdrawal} - Rs {total_deposit}")
+    st.write(f"Closing and Opening Balance: {df['Balance'].iloc[0]} and {df['Balance'].iloc[-1]}")
+    st.write(f"Total Transactions: {len(df)}")
+    st.write(f"Average Withdrawal per day: {(total_withdrawal / days):.2f}")
+    st.write(f"Average Withdrawal per month: {total_withdrawal / (days / 30):.2f}")
+    time_frame = list(df['Date'])
+    withdrawal = list(df['Withdrawal'])
+    for i in range(1, len(withdrawal)):
+        withdrawal[i] = withdrawal[i] + withdrawal[i - 1]
+    deposited = list(df['Deposited'])
+    for i in range(1, len(deposited)):
+        deposited[i] = deposited[i] + deposited[i - 1]
+
+    balance = list(df['Balance'])
+    line = pd.DataFrame({'Balance': balance}, index=time_frame)
+    st.subheader('Balance Trend')
+    st.line_chart(line, use_container_width=True)
+
+    # fig = px.line(df, x='Date', y='Balance', title='Balance Trend', color_discrete_sequence=['#1f77b4'],
+    #               template='plotly_white', labels={'Date': 'Date', 'Balance': 'Balance'},
+    #               hover_data={'Date': False, 'Balance': ':.2f'})
+    # st.plotly_chart(fig, use_container_width=True)
+    st.dataframe(df, use_container_width=True)
+
+    val = st.radio('Select', ('Withdrawal', 'Deposited'))
+    if val == 'Withdrawal':
+        withdraw_line = pd.DataFrame({'Withdrawal': withdrawal}, index=time_frame)
+        st.subheader('Withdrawal Trend')
+        st.line_chart(withdraw_line, use_container_width=True)
+        fig = px.bar(df, x='Date', y='Withdrawal', title='Withdrawals')
+        st.plotly_chart(fig, use_container_width=True)
+        figs = px.scatter(df, x='Date', y='Withdrawal', color='UPIs', title='Withdrawals')
+        st.plotly_chart(figs, use_container_width=True)
+    elif val == 'Deposited':
+        deposit_line = pd.DataFrame({'Deposited': deposited}, index=time_frame)
+        st.subheader('Deposit Trend')
+        st.line_chart(deposit_line, use_container_width=True)
+        fig = px.bar(df, x='Date', y='Deposited', title='Deposits')
+        st.plotly_chart(fig, use_container_width=True)
+        figs = px.scatter(df, x='Date', y='Deposited', color='UPIs', title='Deposits')
+        st.plotly_chart(figs, use_container_width=True)
+
+    first_date = df['Date'].iloc[0]
+    date_selected = st.date_input('Select Date', value=first_date)
+    selected = df.loc[df['Date'] == date_selected]
+    st.dataframe(selected, use_container_width=True)
+    st.write("Total Withdrawals on", date_selected.strftime("%d %B"), "is", selected['Withdrawal'].sum())
+    st.write("Total Deposits on", date_selected.strftime("%d %B"), "is", selected['Deposited'].sum())
+    df['propdate'] = pd.to_datetime(df['Date'])
+    month_selected = st.selectbox('Select Month', df['propdate'].dt.strftime('%B').unique())
+    year = st.selectbox('Select Year', df['propdate'].dt.strftime('%Y').unique())
+    selected_month = df.loc[
+        (df['propdate'].dt.strftime('%B') == month_selected) & (df['propdate'].dt.strftime('%Y') == year)]
+    st.dataframe(selected_month, use_container_width=True)
+    st.write("Total Withdrawals in", month_selected, "is", selected_month['Withdrawal'].sum())
+    st.write("Total Deposits in", month_selected, "is", selected_month['Deposited'].sum())
+
+    st.write("\n")
+    st.subheader('Select a date range')
+    start_range = df['Date'].iloc[0]
+    end_range = df['Date'].iloc[-1]
+    start_date = st.date_input('Start date', value=start_range)
+    end_date = st.date_input('End date', value=end_range)
+    mask = (df['Date'] >= start_date) & (df['Date'] <= end_date)
+    df = df.loc[mask]
+    st.dataframe(df, use_container_width=True)
+    st.write(f'Total Deposited: Rs {df["Deposited"].sum()}')
+    st.write(f'Total Withdrawal: Rs {df["Withdrawal"].sum()}')
+
+    st.subheader('Total amount spent on each UPI')
+    st.dataframe(df.groupby('UPIs')['Withdrawal'].sum().sort_values(ascending=False), use_container_width=True)
+
+    st.subheader('Highest amount spent in one transaction')
+    st.dataframe(df.loc[df['Withdrawal'].idxmax()], use_container_width=True)
+
+    inday = df.groupby("Date")['Withdrawal'].sum().sort_values(ascending=False).head(1).index[0].strftime("%d %B")
+    st.subheader(f'Highest amount spent in a day')
+    amount = df.groupby("Date")['Withdrawal'].sum().sort_values(ascending=False).head(1).values[0]
+    st.write(f'On {inday} : Rs {amount}')
+
+hide_streamlit_style = """
+                    <style>
+                    # MainMenu {visibility: hidden;}
+                    footer {visibility: hidden;}
+                    footer:after {
+                    content:'Made with ❤️ by Shravan'; 
+                    visibility: visible;
+    	            display: block;
+    	            position: relative;
+    	            # background-color: red;
+    	            padding: 15px;
+    	            top: 2px;
+    	            }
+                    </style>
+                    """
+st.markdown(hide_streamlit_style, unsafe_allow_html=True)

requirements.txt

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+pandas==1.4.3
+streamlit==1.21.0
+plotly==5.11.0
+xlrd==2.0.1
+beautifulsoup4==4.9.3
+requests==2.25.1
+requests-file==1.5.1
+requests-oauthlib==1.3.1
+scraper==0.1.0
+selenium==3.141.0
+threadpoolctl==3.1.0
+typing_extensions==4.3.0
+PyYAML~=6.0