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Create app.py
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app.py
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# How can I add row to an iterable dataset
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#π€Datasets
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#This is the first time xbilek25 has posted β letβs welcome them to our community!
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#xbilek25
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#2
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#9h
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#I need any working option to add row to a dataset, where streaming=True. While working with normal dataset I define new item and use code like this:
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#tmp_dataset = tmp_dataset.add_item(new_item), but i canβt figure out how to do this while my dataset is streaming=True.
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#Can anyone help me to find solution, please?
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if st.checkbox('Show Anatomy Table'):
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st.markdown("""
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## Anatomy Head to Toe Table with Body Organs Costly Conditions, Spending, CPT Codes and Frequency
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| Table Num | Body Part | Organ/Part | Description | π Costly Condition | π° Spending (billions) | CPT Range Start | CPT Range Finish | Frequency |
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|-----------|------------------|----------------------|-------------------------------|------------------------------|------------------------|-----------------|------------------|----------------|
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| 1 | π§ Head | π§ Brain | Controls mental processes | π¨ Anxiety & Depression | 210 | 90791 | 90899 | 1 in 5 |
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| 2 | π Eyes | ποΈ Optic Nerve | Vision | π Cataracts | 10.7 | 92002 | 92499 | 1 in 6 (over 40 years) |
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| 3 | π Ears | π Cochlea | Hearing | π’ Hearing Loss | 7.1 | 92502 | 92700 | 1 in 8 (over 12 years) |
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| 4 | π Nose | π Olfactory Bulb | Smell | π€§ Allergies | 25 | 31231 | 31294 | 1 in 3 |
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| 5 | π Mouth | π
Tongue | Taste | π¦· Dental Issues | 130 | 00100 | 00192 | 1 in 2 |
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| 6 | π« Neck | π¦ Thyroid | Metabolism | π¦ Hypothyroidism | 3.1 | 60210 | 60271 | 1 in 20 |
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| 7 | πͺ Upper Body | β€οΈ Heart | Circulation | π Heart Disease | 230 | 92920 | 93799 | 1 in 4 (over 65 years) |
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| 8 | πͺ Upper Body | π« Lungs | Respiration | π· Chronic Obstructive Pulmonary Disease | 70 | 94002 | 94799 | 1 in 20 (over 45 years) |
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| 9 | πͺ Upper Body | π· Liver | Detoxification | πΊ Liver Disease | 40 | 47000 | 47999 | 1 in 10 |
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| 10 | πͺ Upper Body | πΉ Kidneys | Filtration | π Chronic Kidney Disease | 110 | 50010 | 50999 | 1 in 7 |
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| 11 | πͺ Upper Body | π Pancreas | Insulin secretion | π¬ Diabetes | 327 | 48100 | 48999 | 1 in 10 |
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| 12 | πͺ Upper Body | π½οΈ Stomach | Digestion | π₯ Gastroesophageal Reflux Disease | 17 | 43200 | 43289 | 1 in 5 |
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| 13 | πͺ Upper Body | π‘οΈ Spleen | Immune functions | π©Έ Anemia | 5.6 | 38100 | 38199 | 1 in 6 |
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| 14 | πͺ Upper Body | π« Blood Vessels | Circulation of blood | π Hypertension | 55 | 40110 | 40599 | 1 in 3 |
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| 15 | 𦡠Lower Body | π Colon | Absorption of water, minerals | π Colorectal Cancer | 14 | 45378 | 45378 | 1 in 23 |
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| 16 | 𦡠Lower Body | π½ Bladder | Urine excretion | π§ Urinary Incontinence | 8 | 51700 | 51798 | 1 in 4 (over 65 years) |
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| 17 | 𦡠Lower Body | π Reproductive Organs | Sex hormone secretion | ποΈ Endometriosis | 22 | 56405 | 58999 | 1 in 10 (women) |
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| 18 | π¦Ά Feet | π― Nerve endings | Balance and movement | π€ Peripheral Neuropathy | 19 | 95900 | 96004 | 1 in 30 |
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| 19 | π¦Ά Feet | π‘οΈ Skin | Temperature regulation | π Skin Cancer | 8.1 | 96910 | 96999 | 1 in 5 |
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| 20 | π¦Ά Feet | πͺ Muscles | Movement and strength | ποΈββοΈ Musculoskeletal Disorders | 176 | 97110 | 97799 | 1 in 2 |
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""")
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import streamlit as st
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import pandas as pd
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# Load dataset
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def load_data():
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return pd.read_csv('anatomy_dataset.csv')
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# Save dataset
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def save_data(df):
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df.to_csv('anatomy_dataset.csv', index=False)
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# CRUD Operations
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def add_data(df):
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# Add a row to the dataframe (Example)
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# You can modify this function to take input from the user
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new_row = {'Table Num': 21, 'Body Part': 'New Part', 'Organ/Part': 'New Organ', 'Description': 'New Description',
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'Costly Condition': 'New Condition', 'Spending (billions)': 0, 'CPT Range Start': 0, 'CPT Range Finish': 0,
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'Frequency': 'New Frequency'}
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df = df.append(new_row, ignore_index=True)
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return df
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def update_data(df):
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# Update a row in the dataframe (Example)
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# Implement the update logic based on your requirements
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if not df.empty:
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df.at[0, 'Description'] = 'Updated Description'
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return df
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def delete_data(df):
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# Delete a row from the dataframe (Example)
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# Implement the delete logic based on your requirements
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if not df.empty:
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df = df.drop(df.index[0])
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return df
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# Streamlit UI
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st.title("Anatomy Head to Toe CRUD Operations")
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# Display the table if checkbox is checked
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if st.checkbox('Show Anatomy Table'):
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df = load_data()
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st.markdown("## Anatomy Head to Toe Table with Body Organs Costly Conditions, Spending, CPT Codes and Frequency")
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st.dataframe(df)
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# CRUD operation buttons
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col1, col2, col3, col4 = st.columns(4)
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if col1.button('β Add'):
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df = load_data()
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df = add_data(df)
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save_data(df)
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if col2.button('π Update'):
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df = load_data()
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df = update_data(df)
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save_data(df)
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if col3.button('β Delete'):
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df = load_data()
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df = delete_data(df)
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save_data(df)
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if col4.button('πΎ Save'):
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df = load_data()
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save_data(df)
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st.success("Data saved to CSV!")
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