Diagnostic output plots¶
Measurement (type 1) and non-measurement (type 2) diagnostics support these plots:
- plot() - time series plot
- iplot() - interactive time series plot (plotly)
- hist() - histogram plot
- ecdf() - line plot of the empirical cumulative distribution
The same plots are available for their main data properties such as .result, .forecast, .innovation etc.
In [1]:
import fmdap
In [2]:
fn = '../tests/testdata/Diagnostics_F16_EnKF.dfs0'
diag = fmdap.read_diagnostic(fn, name="F16")
Timeseries¶
In [3]:
diag.plot();
In [4]:
diag.iplot()
In [5]:
ax = diag.result.plot(figsize=(10,3))
ax.grid(True)
In [6]:
diag.innovation.plot(figsize=(10,3));
In [7]:
diag.increment.plot(marker='s');
In [8]:
diag.increment.iplot();
Histogram¶
In [9]:
diag.result.hist()
In [10]:
diag.hist(bins=20)
In [11]:
diag.innovation.hist()
Empirical cumulative distribution plot¶
In [12]:
diag.innovation.ecdf()
In [13]:
diag.increment.ecdf()
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