def main(*, dataframe):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"plot":
plotly_fig_to_json_dict(multi_plotly_timeseries_plot(dataframe))
}
def main(*, data):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
columns = list(data.columns)
fig = go.Figure(
data=[
go.Table(
header=dict(values=columns, fill_color="paleturquoise", align="left"),
cells=dict(
values=[data[col] for col in columns],
fill_color="lavender",
align="left",
),
)
]
)
layout_opts: dict = {
"xaxis_title": "Time",
"yaxis_title": "Values",
"autosize": True,
"height": 400,
}
# scrollbars should be visible:
fig.update_layout(margin=dict(l=0, r=15.0, b=15.0, t=5, pad=0))
fig.update_layout(**layout_opts)
fig.update_yaxes(automargin=True)
fig.update_xaxes(automargin=True)
return {"table": plotly_fig_to_json_dict(fig)}
def main(*, series, interval):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"plot": plotly_fig_to_json_dict(interval_box_plots(series, interval))
}
def main(*, series, alert_series):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"alert_plot":
plotly_fig_to_json_dict(plot_series_and_alerts(series, alert_series))
}
def main(*, series_1, series_2):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"plot":
plotly_fig_to_json_dict(timeseries_comparison_plot(series_1, series_2))
}
def main(*, dataframe, value_column, group_column):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"plot":
plotly_fig_to_json_dict(
plotly_pie_chart_plot(dataframe, value_column, group_column))
}
def main(*, x, y, color):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"scatter_plot":
plotly_fig_to_json_dict(color_scatter_plot(x, y, color_series=color))
}
def main(*, raw_values, substitution_series):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"substituted_ts_plot":
plotly_fig_to_json_dict(
substituted_data_plot(raw_values, substitution_series))
}
def main(*, base_series, predictions, limit, limit_violation_prediction_timestamp):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"rul_regression_result_plot": plotly_fig_to_json_dict(
timeseries_comparison_plot(
base_series, predictions, limit_violation_prediction_timestamp, limit
)
)
}
def main(*, data, color_map, cat_color_col):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"map_plot":
plotly_fig_to_json_dict(
get_plotly_osm_scatter_map_figure(
data,
hover_title_col="name",
hover_additional_description_cols=["description"],
fixed_size=2,
size_max=5,
cat_color_col=cat_color_col,
cat_color_mapping=color_map,
))
}
def main(*, freq, max_shifts_future, max_shifts_past, series, series_shiftable,
freq_factor):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {
"comparison_plot":
plotly_fig_to_json_dict(
timeseries_comparison_plot(
series,
series_shiftable,
freq,
freq_factor,
max_shifts_past,
max_shifts_future,
))
}
def main(*, x, y, z):
"""entrypoint function for this component"""
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {"contour_plot": plotly_fig_to_json_dict(contour_plot(x, y, z))}
def main(*, series):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {"plot": plotly_fig_to_json_dict(plotly_bar_plot(series))}
def main(*, dataframe):
# ***** DO NOT EDIT LINES ABOVE *****
# write your function code here.
return {"plot": plotly_fig_to_json_dict(correlation_heatmap(dataframe))}
