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''' |
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title: Write |
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''' |
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import streamsync as ss |
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import pandas as pd |
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ss.md("## ss.write Output Data") |
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ss.md("ss.write is similar to print; it can output text, lists, and other types, making testing and output easy.") |
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ss.space() |
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ss.md(''' |
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#### 🔅 Example |
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''') |
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ss.md("#### 1. Output Text") |
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ss.write("This is a text") |
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ss.md(''' |
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```python |
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ss.write("This is a text") |
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``` |
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''') |
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ss.md("#### 2. Output Multiple Variables") |
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a = "aaa" |
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b = "bbb" |
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ss.write(a, ",", b) |
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ss.md(''' |
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```python |
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a = "aaa" |
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b = "bbb" |
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ss.write(a, ",", b) |
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``` |
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''') |
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ss.md("#### 3. Output List") |
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data = ["aaa", "bbb", "ccc"] |
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ss.write(data) |
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data = {"aaa":1, "bbb":2, "ccc":3} |
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ss.write(data) |
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ss.md(''' |
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```python |
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data = ["aaa", "bbb", "ccc"] |
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ss.write(data) |
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data = {"aaa":1, "bbb":2, "ccc":3} |
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ss.write(data) |
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``` |
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''') |
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ss.md("#### 4. Output Table") |
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data = {'name': ['Alice', 'Bob', 'Charlie', 'David'], |
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'age': [25, 30, 35, 40], |
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'city': ['New York', 'Paris', 'London', 'Sydney']} |
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df = pd.DataFrame(data) |
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ss.write(df) |
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ss.md(''' |
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```python |
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# Create data |
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data = {'name': ['Alice', 'Bob', 'Charlie', 'David'], |
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'age': [25, 30, 35, 40], |
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'city': ['New York', 'Paris', 'London', 'Sydney']} |
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# Convert data to DataFrame format |
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df = pd.DataFrame(data) |
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ss.write(df) |
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``` |
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''') |