ERDDAP > tabledap > 制作图表

数据集标题:	Audio data from a local source.
机构:	???   (数据集 ID: testTableWav)
范围:	time = 2014-11-19T00:15:00Z 到 2014-11-19T00:20:00Z
信息:	概括 | 执照 | 元数据 | 背景 | 子集 | 数据访问表 | 文件

 

图表类型:  lines linesAndMarkers markers sticks X 轴:  time elapsedTime channel_1 Y 轴:  time elapsedTime channel_1   约束 选修的 约束 #1 选修的 约束 #2 time elapsedTime channel_1     != =~ <= >= = < >     != =~ <= >= = < >     2014-11-19T00:15:00Z 2014-11-19T00:20:00Z time elapsedTime channel_1     != =~ <= >= = < >     != =~ <= >= = < >     time elapsedTime channel_1     != =~ <= >= = < >     != =~ <= >= = < >     time elapsedTime channel_1     != =~ <= >= = < >     != =~ <= >= = < >     time elapsedTime channel_1     != =~ <= >= = < >     != =~ <= >= = < >       服务器端函数  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time elapsedTime channel_1 time elapsedTime channel_1 time elapsedTime channel_1 time elapsedTime channel_1 ")   图表设置 颜色:  Y 轴最小值:   最大限度:    Ascending Descending Linear Log   重新绘制图表 （请耐心等待，获取数据可能需要一段时间。）   选修的: 然后设置文件类型: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .parquet .parquetWMeta .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (文件类型信息) and 或查看 URL: (文档 / 旁路 这 形式 )

X range:  放大 缩小

 

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您可以使用图表来做的事情

当然，你可以对图表做任何你想做的事情。但你可能没有考虑到以下几点：

• 网页作者可以使用 HTML <img> 标签在网页中嵌入最新数据的图表。
• 任何人都可以使用ERDDAP的幻灯片分类器来构建个人网页，该网页以自己的可拖动幻灯片形式显示包含最新数据（或其他图像或 HTML 内容）的图表。
   

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此数据集的数据集属性结构 (.das)

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4163561e+9, 1.4163564e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  elapsedTime {
    Float64 actual_range 0.0, 299.99998958333333;
    String ioos_category "Time";
    String long_name "Elapsed Time";
    String units "seconds";
  }
  channel_1 {
    Int16 _FillValue 32767;
    Int16 actual_range -32768, 24572;
    Float64 colorBarMaximum 33000.0;
    Float64 colorBarMinimum -33000.0;
    String ioos_category "Other";
    String long_name "Channel 1";
  }
 }
  NC_GLOBAL {
    String audioBigEndian "false";
    Int32 audioChannels 1;
    String audioEncoding "PCM_SIGNED";
    Float32 audioFrameRate 96000.0;
    Int32 audioFrameSize 2;
    Float32 audioSampleRate 96000.0;
    Int32 audioSampleSizeInBits 16;
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String defaultDataQuery "&time=min(time)";
    String defaultGraphQuery "elapsedTime,channel_1&time=min(time)&elapsedTime>=0&elapsedTime<=1&.draw=lines";
    String history 
"2025-05-06T00:20:05Z (local files)
2025-05-06T00:20:05Z https://coastwatch.pfeg.noaa.gov/tabledap/testTableWav.das";
    String infoUrl "???";
    String institution "???";
    String keywords "channel, channel_1, data, elapsed, elapsedTime, local, source, time";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "time";
    String summary "Audio data from a local source.";
    String time_coverage_end "2014-11-19T00:20:00Z";
    String time_coverage_start "2014-11-19T00:15:00Z";
    String title "Audio data from a local source.";
  }
}

 

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使用 tabledap 从表格数据集请求数据和图表

tabledap允许您通过特殊格式的 URL 从表格数据集（例如浮标数据）中请求数据子集、图表或地图tabledap使用OPeNDAP 数据访问协议 (DAP ) 及其选择约束 。

URL 指定您想要的内容：数据集、图表或数据子集的描述以及响应的文件类型。

• （简单）您可以使用数据集的数据访问表单或子集表单获取数据。它们会为您生成 URL。
• （简单）您可以使用数据集的“制作图表”表单制作图表或地图。它会为您生成 URL。
• （不难）您可以绕过表格并获取数据，或者通过手动生成 URL 或使用计算机程序或脚本来制作图形或地图。

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

 

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