Conversion of Python code plot into Dash and Plotly plot
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
add a comment |
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
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
add a comment |
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
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
python-3.x pandas plotly
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
add a comment |
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
add a comment |
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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