Bokeh vbar_stack bars don't re-sort after filtering the data source
I have a vbar_stack chart that I am updating with CheckboxGroup selections. When I change the accounts being selected, the data does change, but the chart doesn't re-sort. How can I make the accounts re-sort in descending order?
Right now, I am using this code for the CheckboxGroup onchange command. The custom_make_dataset function does re-sort the filtered dataset.
def custom_make_dataset(df, accounts):
remove_accounts = [i for i in df["acc"].unique() if i not in accounts]
new_df = df
.groupby(["acc","product"])["cost"]
.sum()
.reset_index()
.pivot(columns="acc", index="product", values="cost")
for account in remove_accounts:
new_df[account] = 0
new_df["Total"] = new_df.sum(axis=1)
new_df.sort_values(by="Total", ascending=False, inplace=True)
del new_df["Total"]
return ColumnDataSource(new_df)
def update_checkbox(attr, old, new):
accounts_to_plot = [account_selection.labels[i] for i in account_selection.active]
new_src = custom_make_dataset(df,accounts_to_plot)
source.data.update(new_src.data)
account_selection = CheckboxGroup(name="Customer Accounts", labels=initial_accounts, active = [i for i,j in enumerate(initial_accounts)])
account_selection.on_change('active', update_checkbox)
Full Selection
After 1 Account Selection
python widget bokeh
asked Nov 14 '18 at 0:12
Keri
111
add a comment |
I have a vbar_stack chart that I am updating with CheckboxGroup selections. When I change the accounts being selected, the data does change, but the chart doesn't re-sort. How can I make the accounts re-sort in descending order?
Right now, I am using this code for the CheckboxGroup onchange command. The custom_make_dataset function does re-sort the filtered dataset.
def custom_make_dataset(df, accounts):
remove_accounts = [i for i in df["acc"].unique() if i not in accounts]
new_df = df
.groupby(["acc","product"])["cost"]
.sum()
.reset_index()
.pivot(columns="acc", index="product", values="cost")
for account in remove_accounts:
new_df[account] = 0
new_df["Total"] = new_df.sum(axis=1)
new_df.sort_values(by="Total", ascending=False, inplace=True)
del new_df["Total"]
return ColumnDataSource(new_df)
def update_checkbox(attr, old, new):
accounts_to_plot = [account_selection.labels[i] for i in account_selection.active]
new_src = custom_make_dataset(df,accounts_to_plot)
source.data.update(new_src.data)
account_selection = CheckboxGroup(name="Customer Accounts", labels=initial_accounts, active = [i for i,j in enumerate(initial_accounts)])
account_selection.on_change('active', update_checkbox)
Full Selection
After 1 Account Selection
python widget bokeh
asked Nov 14 '18 at 0:12
Keri
111
add a comment |
I have a vbar_stack chart that I am updating with CheckboxGroup selections. When I change the accounts being selected, the data does change, but the chart doesn't re-sort. How can I make the accounts re-sort in descending order?
Right now, I am using this code for the CheckboxGroup onchange command. The custom_make_dataset function does re-sort the filtered dataset.
def custom_make_dataset(df, accounts):
remove_accounts = [i for i in df["acc"].unique() if i not in accounts]
new_df = df
.groupby(["acc","product"])["cost"]
.sum()
.reset_index()
.pivot(columns="acc", index="product", values="cost")
for account in remove_accounts:
new_df[account] = 0
new_df["Total"] = new_df.sum(axis=1)
new_df.sort_values(by="Total", ascending=False, inplace=True)
del new_df["Total"]
return ColumnDataSource(new_df)
def update_checkbox(attr, old, new):
accounts_to_plot = [account_selection.labels[i] for i in account_selection.active]
new_src = custom_make_dataset(df,accounts_to_plot)
source.data.update(new_src.data)
account_selection = CheckboxGroup(name="Customer Accounts", labels=initial_accounts, active = [i for i,j in enumerate(initial_accounts)])
account_selection.on_change('active', update_checkbox)
Full Selection
After 1 Account Selection
python widget bokeh
asked Nov 14 '18 at 0:12
Keri
111
I have a vbar_stack chart that I am updating with CheckboxGroup selections. When I change the accounts being selected, the data does change, but the chart doesn't re-sort. How can I make the accounts re-sort in descending order?
Right now, I am using this code for the CheckboxGroup onchange command. The custom_make_dataset function does re-sort the filtered dataset.
def custom_make_dataset(df, accounts):
remove_accounts = [i for i in df["acc"].unique() if i not in accounts]
new_df = df
.groupby(["acc","product"])["cost"]
.sum()
.reset_index()
.pivot(columns="acc", index="product", values="cost")
for account in remove_accounts:
new_df[account] = 0
new_df["Total"] = new_df.sum(axis=1)
new_df.sort_values(by="Total", ascending=False, inplace=True)
del new_df["Total"]
return ColumnDataSource(new_df)
def update_checkbox(attr, old, new):
accounts_to_plot = [account_selection.labels[i] for i in account_selection.active]
new_src = custom_make_dataset(df,accounts_to_plot)
source.data.update(new_src.data)
account_selection = CheckboxGroup(name="Customer Accounts", labels=initial_accounts, active = [i for i,j in enumerate(initial_accounts)])
account_selection.on_change('active', update_checkbox)
Full Selection
After 1 Account Selection
python widget bokeh
python widget bokeh
asked Nov 14 '18 at 0:12
Keri
111
asked Nov 14 '18 at 0:12
Keri
111
asked Nov 14 '18 at 0:12
Keri
111
asked Nov 14 '18 at 0:12
Keri
111
asked Nov 14 '18 at 0:12
Keri
111
111
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
I figured out the problem. While I was updating the data, I wasn't updating the x-axis itself. You can put something like this in the onchange command to update the plot x-axis.
p.x_range.factors = (new_src.data['product'])
answered Nov 15 '18 at 7:56
Keri
111
add a comment |
Maybe bokeh is using the dataframe index to determine on which x position the values are placed.
Try resetting your new_df index before returning the new ColumnDataSource.
new_df.reset_index(drop=True, inplace=True)
answered Nov 14 '18 at 9:25
Pallie
3107
That didn't work. I also checked the ColumnDataSource usingColumnDataSource(new_df).dataand the values are sorted correctly in the data store.
– Keri
Nov 14 '18 at 16:42
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I figured out the problem. While I was updating the data, I wasn't updating the x-axis itself. You can put something like this in the onchange command to update the plot x-axis.
p.x_range.factors = (new_src.data['product'])
answered Nov 15 '18 at 7:56
Keri
111
add a comment |
I figured out the problem. While I was updating the data, I wasn't updating the x-axis itself. You can put something like this in the onchange command to update the plot x-axis.
p.x_range.factors = (new_src.data['product'])
answered Nov 15 '18 at 7:56
Keri
111
add a comment |
I figured out the problem. While I was updating the data, I wasn't updating the x-axis itself. You can put something like this in the onchange command to update the plot x-axis.
p.x_range.factors = (new_src.data['product'])
answered Nov 15 '18 at 7:56
Keri
111
I figured out the problem. While I was updating the data, I wasn't updating the x-axis itself. You can put something like this in the onchange command to update the plot x-axis.
p.x_range.factors = (new_src.data['product'])
answered Nov 15 '18 at 7:56
Keri
111
answered Nov 15 '18 at 7:56
Keri
111
answered Nov 15 '18 at 7:56
Keri
111
answered Nov 15 '18 at 7:56
Keri
111
111
add a comment |
add a comment |
Maybe bokeh is using the dataframe index to determine on which x position the values are placed.
Try resetting your new_df index before returning the new ColumnDataSource.
new_df.reset_index(drop=True, inplace=True)
answered Nov 14 '18 at 9:25
Pallie
3107
That didn't work. I also checked the ColumnDataSource usingColumnDataSource(new_df).dataand the values are sorted correctly in the data store.
– Keri
Nov 14 '18 at 16:42
add a comment |
Maybe bokeh is using the dataframe index to determine on which x position the values are placed.
Try resetting your new_df index before returning the new ColumnDataSource.
new_df.reset_index(drop=True, inplace=True)
answered Nov 14 '18 at 9:25
Pallie
3107
That didn't work. I also checked the ColumnDataSource usingColumnDataSource(new_df).dataand the values are sorted correctly in the data store.
– Keri
Nov 14 '18 at 16:42
add a comment |
Maybe bokeh is using the dataframe index to determine on which x position the values are placed.
Try resetting your new_df index before returning the new ColumnDataSource.
new_df.reset_index(drop=True, inplace=True)
answered Nov 14 '18 at 9:25
Pallie
3107
Maybe bokeh is using the dataframe index to determine on which x position the values are placed.
Try resetting your new_df index before returning the new ColumnDataSource.
new_df.reset_index(drop=True, inplace=True)
answered Nov 14 '18 at 9:25
Pallie
3107
answered Nov 14 '18 at 9:25
Pallie
3107
answered Nov 14 '18 at 9:25
Pallie
3107
answered Nov 14 '18 at 9:25
Pallie
3107
3107
That didn't work. I also checked the ColumnDataSource usingColumnDataSource(new_df).dataand the values are sorted correctly in the data store.
– Keri
Nov 14 '18 at 16:42
add a comment |
That didn't work. I also checked the ColumnDataSource usingColumnDataSource(new_df).dataand the values are sorted correctly in the data store.
– Keri
Nov 14 '18 at 16:42
That didn't work. I also checked the ColumnDataSource using
ColumnDataSource(new_df).data and the values are sorted correctly in the data store.– Keri
Nov 14 '18 at 16:42
That didn't work. I also checked the ColumnDataSource using
ColumnDataSource(new_df).data and the values are sorted correctly in the data store.– Keri
Nov 14 '18 at 16:42
add a comment |
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