_sample_rate / 1000), format = '%i')įspect_plt = plot_fspectra( data1, data1_name, sample_rate, smooth)ĭef plot_fspectra_2( self, data1, data1_name, data2, data2_name):įspect_plt = plot_fspectra( data1, data1_name, int( self. number_input( "Sample Rate", min_value = 1, value = int( self. _cmap_optionĬompare_two_fig_2D_helper( data1, data2, cmap_option, vm)įspect_plt = plot_fspectra( data1, data1_name, sample_rate, data2 = data2, data2_name = data2_name)ĭef plot_fspectra( self, data1, data1_name): plot_fspectra( seismic_data, 'Original')ĭef compare_two_fig_2D( self, data1, data1_name, data2, data2_name, is_fspect, sample_rate): _cmap_option, vmin = - vm, vmax = vm)įspect_plt = self. Seis_plt = plot_seis( seismic_data, cmap = self. plot_fspectra( seis, 'Original')ĭef visualize_seismic_2D( self, seismic_data, is_fspect, is_show_metrics = True): plot_slice( seismic_data, inline_indx, st. slider( 'Time', 0, n_samples - 1, n_samples // 2) metric( "Number of Samples", n_samples)Ĭol5. Return seis, seis_plt, iline_old, xline_old, t_oldĬolorscales = #px.colors.named_colorscales()ĭef visualize_seismic_3D( self, seismic_data, is_fspect, is_show_metrics = True): Seis_plt = plot_top( seis, cmap, - vm, vm)
Seis_plt = plot_xln( seis, cmap, - vm, vm) Seis_plt = plot_inl( seis, cmap, - vm, vm)Įlif np.
get_sample_rate()ĭef plot_slice( self, _segyfile, inline_indx, iline_old, xline_indx, xline_old, time_indx, t_old, cmap, vm): From utils import fspectra, signaltonoise_dB, signaltonoiseįrom streamlit_image_comparison import image_comparisonĭef _init_( self, _seismic_data, seismic_type):
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