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5 | 5 | [](https://pepy.tech/project/py-markdown-table)
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6 | 6 | [](https://pepy.tech/project/py-markdown-table)
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7 | 7 |
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8 |
| -Tiny python library with zero dependencies which generates formatted multiline tables in `markdown`. |
| 8 | +Tiny python library with zero dependencies which generates formatted multiline tables in `markdown`. |
9 | 9 |
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10 | 10 | ## Basic Use
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11 | 11 | Install via pip as follows: ```pip install py-markdown-table```
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@@ -54,8 +54,8 @@ jokes_list = [
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54 | 54 | "joke3": "How does a penguin build its house? Igloos it together!"
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55 | 55 | }
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56 | 56 | ]
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57 |
| -markdown = markdown_table(jokes_list).set_params(padding_width = 3, |
58 |
| - padding_weight = 'centerleft', |
| 57 | +markdown = markdown_table(jokes_list).set_params(padding_width = 3, |
| 58 | + padding_weight = 'centerleft', |
59 | 59 | multiline = {'joke1': 30, 'joke2': 30, 'joke3': 30}
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60 | 60 | ).get_markdown()
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61 | 61 | ```
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@@ -402,7 +402,7 @@ The namespace `py_markdown_table.utils` provides the functions `count_emojis()`
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402 | 402 | <summary >
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403 | 403 | see example
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404 | 404 | </summary>
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405 |
| -*Note:* Github's markdown preview does not render emojis as two whole characters, hence the slight offsets in cells containing emojis. |
| 405 | +*Note:* Github's markdown preview does not render emojis as two whole characters, hence the slight offsets in cells containing emojis. |
406 | 406 |
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407 | 407 | ```
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408 | 408 | +-------------------------------+
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@@ -435,7 +435,7 @@ Below is an example from a monospaced terminal, where the table is rendered corr
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435 | 435 |
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436 | 436 |
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437 | 437 | ## Benchmarks
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438 |
| -The table below provide some benchmark results, evaluating the performance on data containing incrementally larger number of `columns`, `rows`, and characters in each table cell (i.e. `cell_size`). You can benchmark it on your own system using the script contained within `py_markdown_table/utils/benchmark.py`. Generally, reasonably-sized tables intended to be read by a human can be generated within a millisecond. |
| 438 | +The table below provide some benchmark results, evaluating the performance on data containing incrementally larger number of `columns`, `rows`, and characters in each table cell (i.e. `cell_size`). You can benchmark it on your own system using the script contained within `py_markdown_table/utils/benchmark.py`. Generally, reasonably-sized tables intended to be read by a human can be generated within a millisecond. |
439 | 439 |
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440 | 440 | <details>
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441 | 441 | <summary >
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