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import streamlit as st |
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import pandas as pd |
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from plotly.subplots import make_subplots |
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import plotly.graph_objects as go |
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import plotly.figure_factory as ff |
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import plotly.express as px |
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def plot(las_file, well_data): |
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st.title('LAS File Visualisation') |
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if not las_file: |
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st.warning('No file has been uploaded') |
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else: |
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columns = list(well_data.columns) |
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st.write('Expand one of the following to visualise your well data.') |
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st.write("""Each plot can be interacted with. To change the scales of a plot/track, click on the left hand or right hand side of the scale and change the value as required.""") |
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with st.expander('Log Plot'): |
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curves = st.multiselect('Select Curves To Plot', columns) |
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if len(curves) <= 1: |
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st.warning('Please select at least 2 curves.') |
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else: |
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curve_index = 1 |
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fig = make_subplots(rows=1, cols= len(curves), subplot_titles=curves, shared_yaxes=True) |
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for curve in curves: |
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fig.add_trace(go.Scatter(x=well_data[curve], y=well_data['DEPTH']), row=1, col=curve_index) |
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curve_index+=1 |
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fig.update_layout(height=1000, showlegend=False, yaxis={'title':'DEPTH','autorange':'reversed'}) |
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fig.layout.template='seaborn' |
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st.plotly_chart(fig, use_container_width=True) |
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with st.expander('Histograms'): |
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col1_h, col2_h = st.columns(2) |
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col1_h.header('Options') |
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hist_curve = col1_h.selectbox('Select a Curve', columns) |
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log_option = col1_h.radio('Select Linear or Logarithmic Scale', ('Linear', 'Logarithmic')) |
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hist_col = col1_h.color_picker('Select Histogram Colour') |
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st.write('Color is'+hist_col) |
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if log_option == 'Linear': |
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log_bool = False |
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elif log_option == 'Logarithmic': |
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log_bool = True |
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histogram = px.histogram(well_data, x=hist_curve, log_x=log_bool) |
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histogram.update_traces(marker_color=hist_col) |
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histogram.layout.template='seaborn' |
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col2_h.plotly_chart(histogram, use_container_width=True) |
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with st.expander('Crossplot'): |
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col1, col2 = st.columns(2) |
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col1.write('Options') |
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xplot_x = col1.selectbox('X-Axis', columns) |
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xplot_y = col1.selectbox('Y-Axis', columns) |
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xplot_col = col1.selectbox('Colour By', columns) |
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xplot_x_log = col1.radio('X Axis - Linear or Logarithmic', ('Linear', 'Logarithmic')) |
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xplot_y_log = col1.radio('Y Axis - Linear or Logarithmic', ('Linear', 'Logarithmic')) |
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if xplot_x_log == 'Linear': |
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xplot_x_bool = False |
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elif xplot_x_log == 'Logarithmic': |
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xplot_x_bool = True |
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if xplot_y_log == 'Linear': |
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xplot_y_bool = False |
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elif xplot_y_log == 'Logarithmic': |
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xplot_y_bool = True |
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col2.write('Crossplot') |
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xplot = px.scatter(well_data, x=xplot_x, y=xplot_y, color=xplot_col, log_x=xplot_x_bool, log_y=xplot_y_bool) |
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xplot.layout.template='seaborn' |
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col2.plotly_chart(xplot, use_container_width=True) |
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