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50 lines
1.4 KiB
50 lines
1.4 KiB
import streamlit as st
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from io import StringIO
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import pandas as pd
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def statistics(df):
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nan_counts = df.isnull().sum(axis=1).sum()
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st.write("*Number of columns*:", len(df.columns))
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st.write("*Number of rows*:", len(df.index))
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st.write("*Nan Counts*: ", nan_counts)
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st.write(df.isna().sum())
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def display_df_first_and_lasts_lines(df):
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fl = df.head(10)
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ll = df.tail(10)
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concat = pd.concat([fl, ll])
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st.dataframe(concat)
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def nav_bar():
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st.page_link("./home.py", label="Import", icon="⬆️", help=None)
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st.page_link("pages/clean.py", label="Clean", icon="🧼", help=None)
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st.page_link("pages/visualize.py", label="Visualize", icon="👁️", help=None)
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st.page_link("pages/prediction.py", label="Predict", icon="🔮", help=None)
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st.page_link("pages/evaluate.py", label="Evaluate", icon=None, help=None)
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def clean_dataframe(line):
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# Call to function to clean data
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line.empty()
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line.write("Dataframe has been cleaned")
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def main():
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nav_bar()
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st.write("# Pow: Your data analyser")
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uploaded_file = st.file_uploader("Choose a file")
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if uploaded_file is not None:
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df = pd.read_csv(uploaded_file)
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st.session_state.orig_df = df
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st.write("## Dataframe (10 first/last lines)")
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display_df_first_and_lasts_lines(df)
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st.write("## Statistics")
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statistics(df)
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if st.button("Next"):
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st.switch_page("pages/clean.py")
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main()
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