@@ -55,11 +55,11 @@ The HTTP header and format parameter are enabled by default on every pandas view
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Format | Content Type | pandas DataFrame Function | Notes
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-------|--------------|---------------------------|--------
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- CSV | ` text/csv ` | ` to_csv() ` |
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+ CSV | ` text/csv ` | ` to_csv() ` | & nbsp ;
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TXT | ` text/plain ` | ` to_csv() ` | Useful for testing, as most browsers will download a CSV file instead of displaying it
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- JSON | ` application/json ` | ` to_json() ` |
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- XLSX | ` application/vnd.openxml...sheet ` | ` to_excel() ` |
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- XLS | ` application/vnd.ms-excel ` | ` to_excel() `
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+ JSON | ` application/json ` | ` to_json() ` | & nbsp ;
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+ XLSX | ` application/vnd.openxml...sheet ` | ` to_excel() ` | & nbsp ;
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+ XLS | ` application/vnd.ms-excel ` | ` to_excel() ` | & nbsp ;
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PNG | ` image/png ` | ` plot() ` | Currently not very customizable, but a simple way to view the data as an image.
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SVG | ` image/svg ` | ` plot() ` | Eventually these could become a fallback for clients that can't handle d3.js
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@@ -270,7 +270,7 @@ With the above example data, this configuration would output a CSV file with the
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---|---|---|---
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** Location** | * site1* | * site1* | * site2*
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** Measurement** | * temperature* | * humidity* | * temperature*
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- ** Date** | | |
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+ ** Date** | | | & nbsp ;
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2016-01-01 | 3 | 30 | 4
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2016-01-02 | | | 5
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@@ -350,7 +350,7 @@ With the above example data, this configuration would output a CSV file with the
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  ; | temperature-value | humidity-value | temperature-value
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---|---|---|---
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** Location** | * site1* | * site1* | * site2*
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- ** Date** | | |
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+ ** Date** | | | & nbsp ;
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2014-01-01 | 3 | 30 | 4
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2014-01-02 | | | 5
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