def update_file_usage_chart(jsonified_df,
association=None,
course_id=None,
month=None):
if jsonified_df is None:
raise PreventUpdate
else:
df = chart_helper.decode_json_df(jsonified_df)
if (course_id == None) and (association == None):
fig = chart_helper.make_aggregate_data_usage_chart(
df, association, course_id, month)
return fig
elif (association != None) and (course_id == None):
filtered_df = df[df["association"] == association]
fig = chart_helper.make_data_bar_chart_facetted_by(
filtered_df, "course_id", association, course_id, month)
return fig
elif association == None and course_id != None:
raise PreventUpdate
else:
# NOTE: need to use bitwise operator with pandas (can't use And or Or)
filt = (df["association"] == association) & (df["course_id"]
== course_id)
filtered_df = df[filt]
fig = chart_helper.make_data_bar_chart_facetted_by(
filtered_df, "paper_id", association, course_id, month)
return fig
def update_data_chart_course_filter(association, jsonified_data_usage_df):
if (jsonified_data_usage_df is None):
raise PreventUpdate
else:
df = chart_helper.decode_json_df(jsonified_data_usage_df)
options = chart_helper.get_course_filter_options(df, association)
return options
def update_login_chart_on_filter_change(jsonified_df, association, status, chart_type, frequency, month):
if jsonified_df is None:
print("Nothing to show for!")
raise PreventUpdate
else:
df = chart_helper.decode_json_df(jsonified_df)
#print(df.head())
if (association == None):
if (status == None):
fig = chart_helper.make_login_chart(df, month, frequency=frequency[0], chart_type=chart_type)
#print(fig.data)
return fig
else:
fig = chart_helper.make_login_chart(df, month, status=status, frequency=frequency[0], chart_type=chart_type)
#print(fig.data)
return fig
else:
if (status == None):
fig = chart_helper.make_login_chart(df, month, association=association, frequency=frequency[0], chart_type=chart_type)
#print(fig.data)
return fig
else:
fig = chart_helper.make_login_chart(df, month, association, status, frequency=frequency[0], chart_type=chart_type)
#print(fig.data)
return fig
def update_file_usage_chart(jsonified_data_usage_df,
association=None,
course_id=None,
month=None):
df = chart_helper.decode_json_df(jsonified_data_usage_df)
if (course_id == None) & (association == None):
fig = chart_helper.make_aggregate_data_usage_chart(
df, association, course_id, month)
return fig
elif (association != None) & (course_id == None):
filtered_df = df[df['association'] == association]
fig = chart_helper.make_data_bar_chart_facetted_by(
filtered_df, 'course_id', association, course_id, month)
return fig
else:
filt = (df['association'] == association) & (df['course_id']
== course_id)
filtered_df = df[filt]
fig = chart_helper.make_data_bar_chart_facetted_by(
filtered_df, 'paper_id', association, course_id, month)
return fig
