Autoplot is a Java application which can read data from many sources, such as ASCII tables, NASA CDF files, and HDF5 files. It can also read data from data servers, such as the server at NASA/Goddard/CDAWeb, Das2Servers used by the Radio and Plasma Wave Group at the University of Iowa, and servers supporting the HAPI API.
Autoplot identifies data using “URIs”, which are one-line strings containing a data source ID and configuration to read the data. These URIs can be created using the Autoplot application, available at http://autoplot.org/. Data are read into a standard data model, QDataSet, which is easily adapted to Python using “JPype”. Helper procedures from the autoplot package convert QDataSets into ndarrays.
Autoplot/Python Interface Tools
Install using pip install autoplot
import autoplot as ap
# Download autoplot.jar if needed and return Python bridge object
ap.init()
# Create Autoplot Data Set. This object manages loading the data and then containing it until extracted.
apds = ap.APDataSet()
# Set URI
apds.setDataSetURI('http://autoplot.org/data/swe-np.xls?column=data&depend0=dep0')
# Get the data
apds.doGetDataSet()
print(apds.toString())
# http://autoplot.org/data/swe-np.xls?column=data&depend0=dep0
# data: data[dep0=288] (dimensionless)
# dep0: dep0[288] (days since 1899-12-30T00:00:00.000Z) (DEPEND_0)
# Extract data values
vv = ap.to_ndarray(apds, 'data')
tt = ap.to_ndarray(apds, 'dep0')
from matplotlib import pyplot as plt
plt.plot(tt,vv)
plt.show()Contact
Jeremy Faden <faden@cottagesystems.com>
Release files for autoplot 0.9.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autoplot-0.9.2.tar.gz | 10.3 kB | Details |
Release files / autoplot-0.9.2.tar.gz
| Download URL | autoplot-0.9.2.tar.gz |
|---|---|
| Size | 10.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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