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Added limits on y axis for flags visualization

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simon_l
2025-05-20 16:27:11 +02:00
parent e4d87080bc
commit a9461cb1aa
2 changed files with 516259 additions and 19 deletions
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516267
notebooks/demo_visualize_diagnostic_flags_from_hdf5_file.ipynb
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11
pipelines/steps/visualize_datatable_vars.py
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@ -5,7 +5,7 @@ import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.graph_objects as go
def visualize_table_variables(data_file_path, dataset_name, flags_dataset_name, x_var, y_vars):
def visualize_table_variables(data_file_path, dataset_name, flags_dataset_name, x_var, y_vars, yaxis_range_dict = {'FlowRate_ccs' : [0,100]}):
@ -163,13 +163,20 @@ def visualize_table_variables(data_file_path, dataset_name, flags_dataset_name,
#plt.show()
#return fig, ax
if var in yaxis_range_dict:
y_axis_range = yaxis_range_dict[var]
else:
y_axis_range = [dataset_df[var].min(), dataset_df[var].max()]
print('y axis range:',y_axis_range)
# Add layout
fig.update_layout(
title=f"{var} over {x_var}",
xaxis_title=x_var,
yaxis_title=var,
xaxis_range = [t_base.min(), t_base.max()],
yaxis_range = y_axis_range,
showlegend=True,
height=300,
margin=dict(l=40, r=20, t=40, b=40),