Conversion of Python code plot into Dash and Plotly plot












0















I have this code:



fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(14, 8))

for xcol, ax in zip(dff.columns.values, axes):
dff.plot(kind='scatter', x=xcol, y=selected_dropdown_value, ax=ax, alpha=0.5,
color='r')


I need to convert it into something that Plotly and Dash can work with as in this example: https://plot.ly/pandas/line-and-scatter/. How can I do that? A dataframe is created out of values that users selects on the dropdown and then all columns are plotted against col_to_plot.. columns.



UPDATE:
Data is the following:



country   year  type color col_to_plot_1   col_to_plot_2  ... 

France 1991 t1 blue 200 3.5
Belgium 1992 t2 black 30 100.5
... ... .. ... ... ...









share|improve this question

























  • pretty hard to tell without seeing what your data looks like.

    – Sam
    Nov 14 '18 at 15:18











  • I updated my question.

    – user8436761
    Nov 14 '18 at 15:27











  • Does anyone know?

    – user8436761
    Nov 15 '18 at 16:08
















0















I have this code:



fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(14, 8))

for xcol, ax in zip(dff.columns.values, axes):
dff.plot(kind='scatter', x=xcol, y=selected_dropdown_value, ax=ax, alpha=0.5,
color='r')


I need to convert it into something that Plotly and Dash can work with as in this example: https://plot.ly/pandas/line-and-scatter/. How can I do that? A dataframe is created out of values that users selects on the dropdown and then all columns are plotted against col_to_plot.. columns.



UPDATE:
Data is the following:



country   year  type color col_to_plot_1   col_to_plot_2  ... 

France 1991 t1 blue 200 3.5
Belgium 1992 t2 black 30 100.5
... ... .. ... ... ...









share|improve this question

























  • pretty hard to tell without seeing what your data looks like.

    – Sam
    Nov 14 '18 at 15:18











  • I updated my question.

    – user8436761
    Nov 14 '18 at 15:27











  • Does anyone know?

    – user8436761
    Nov 15 '18 at 16:08














0












0








0








I have this code:



fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(14, 8))

for xcol, ax in zip(dff.columns.values, axes):
dff.plot(kind='scatter', x=xcol, y=selected_dropdown_value, ax=ax, alpha=0.5,
color='r')


I need to convert it into something that Plotly and Dash can work with as in this example: https://plot.ly/pandas/line-and-scatter/. How can I do that? A dataframe is created out of values that users selects on the dropdown and then all columns are plotted against col_to_plot.. columns.



UPDATE:
Data is the following:



country   year  type color col_to_plot_1   col_to_plot_2  ... 

France 1991 t1 blue 200 3.5
Belgium 1992 t2 black 30 100.5
... ... .. ... ... ...









share|improve this question
















I have this code:



fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(14, 8))

for xcol, ax in zip(dff.columns.values, axes):
dff.plot(kind='scatter', x=xcol, y=selected_dropdown_value, ax=ax, alpha=0.5,
color='r')


I need to convert it into something that Plotly and Dash can work with as in this example: https://plot.ly/pandas/line-and-scatter/. How can I do that? A dataframe is created out of values that users selects on the dropdown and then all columns are plotted against col_to_plot.. columns.



UPDATE:
Data is the following:



country   year  type color col_to_plot_1   col_to_plot_2  ... 

France 1991 t1 blue 200 3.5
Belgium 1992 t2 black 30 100.5
... ... .. ... ... ...






python-3.x pandas plotly






share|improve this question















share|improve this question













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edited Nov 14 '18 at 15:27







user8436761

















asked Nov 14 '18 at 15:15









user8436761user8436761

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  • pretty hard to tell without seeing what your data looks like.

    – Sam
    Nov 14 '18 at 15:18











  • I updated my question.

    – user8436761
    Nov 14 '18 at 15:27











  • Does anyone know?

    – user8436761
    Nov 15 '18 at 16:08



















  • pretty hard to tell without seeing what your data looks like.

    – Sam
    Nov 14 '18 at 15:18











  • I updated my question.

    – user8436761
    Nov 14 '18 at 15:27











  • Does anyone know?

    – user8436761
    Nov 15 '18 at 16:08

















pretty hard to tell without seeing what your data looks like.

– Sam
Nov 14 '18 at 15:18





pretty hard to tell without seeing what your data looks like.

– Sam
Nov 14 '18 at 15:18













I updated my question.

– user8436761
Nov 14 '18 at 15:27





I updated my question.

– user8436761
Nov 14 '18 at 15:27













Does anyone know?

– user8436761
Nov 15 '18 at 16:08





Does anyone know?

– user8436761
Nov 15 '18 at 16:08












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