Code fails to produce plots on second run( after changing some parameter)

[LQW121523]

Hi,

I have an issue with plotting function. When I run the code for the first time, the plot is produced normally. But when I modified some parameters and ran the code again, the figure could not be generated. It would only give (<Figure size 768x480 with 1 Axes>, <Axes: xlabel='time', ylabel='waterlevel '>)， as show in the figure below/. The above problem exists in all plot codes. The version of pyextremes is 2.3.2.

Code:

import os
import geopandas as gpd
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pandas.plotting import register_matplotlib_converters
import xarray as xr
import pyextremes
from mpl_toolkits.basemap import Basemap
from pyextremes import get_extremes, get_return_periods, EVA, plot_threshold_stability
from pyextremes.plotting import plot_extremes

twlLagos=pd.read_csv((os.path.join(pwd,'01-input','07-TotalWaterLevle','twlLagos.csv')))
twlLagos['time'] = pd.to_datetime(twlLagos['time'])
twlLagos.set_index('time', inplace=True)

plot_threshold_stability(
twlLagos['waterlevel'],
return_period=n,
thresholds=np.arange(0.85,0.94,0.01),
)

extremesPot = EVA(data=twlLagos['waterlevel'])
extremesPot.get_extremes("POT", threshold=0.88, r="24H")
extremesPot.plot_extremes(show_clusters=True)

rp=[2,5,10,25,50,100,250,500,1000]
extremesPot.fit_model()
summary=extremesPot.get_summary(
return_period=rp,
alpha=0.95,
n_samples=1000
)

print(summary)

extremesPot.plot_diagnostic(return_period=rp, alpha=None, plotting_position='weibull')

Big thanks for your time in advance.

[georgebv]

This is a jupyter issue not displaying figure, not pyextremes. You are clearly getting figure and axes. I recommend reading matplotlib and jupyter documentation, specifically about plt.show (matplotlib) and display (jupyter).