scatter more than one dataframe in the same plot












0















I'm using a for cycle to scatter more than one dataframe on a same pd.plot.scatterplot, but everytime the cycle return it print a colorbar.
How can I have just one colorbar at the end of the cycle?



This is my code



if colormap is None: colormap='jet'
f,ax = plt.subplots()
for i, data in enumerate(wells):
data.plot.scatter(x,y, c=z, colormap=colormap, ax=ax)
ax.set_xlabel(x); ax.set_xlim(xlim)
ax.set_ylabel(y); ax.set_ylim(ylim)
ax.legend()
ax.grid()
ax.set_title(title)









share|improve this question




















  • 1





    what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

    – anotherone
    Nov 13 '18 at 18:14











  • it's a dataframe. I want just one plot, exactly ...with all the data on it...

    – Cristiana Panzeri
    Nov 14 '18 at 10:02
















0















I'm using a for cycle to scatter more than one dataframe on a same pd.plot.scatterplot, but everytime the cycle return it print a colorbar.
How can I have just one colorbar at the end of the cycle?



This is my code



if colormap is None: colormap='jet'
f,ax = plt.subplots()
for i, data in enumerate(wells):
data.plot.scatter(x,y, c=z, colormap=colormap, ax=ax)
ax.set_xlabel(x); ax.set_xlim(xlim)
ax.set_ylabel(y); ax.set_ylim(ylim)
ax.legend()
ax.grid()
ax.set_title(title)









share|improve this question




















  • 1





    what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

    – anotherone
    Nov 13 '18 at 18:14











  • it's a dataframe. I want just one plot, exactly ...with all the data on it...

    – Cristiana Panzeri
    Nov 14 '18 at 10:02














0












0








0








I'm using a for cycle to scatter more than one dataframe on a same pd.plot.scatterplot, but everytime the cycle return it print a colorbar.
How can I have just one colorbar at the end of the cycle?



This is my code



if colormap is None: colormap='jet'
f,ax = plt.subplots()
for i, data in enumerate(wells):
data.plot.scatter(x,y, c=z, colormap=colormap, ax=ax)
ax.set_xlabel(x); ax.set_xlim(xlim)
ax.set_ylabel(y); ax.set_ylim(ylim)
ax.legend()
ax.grid()
ax.set_title(title)









share|improve this question
















I'm using a for cycle to scatter more than one dataframe on a same pd.plot.scatterplot, but everytime the cycle return it print a colorbar.
How can I have just one colorbar at the end of the cycle?



This is my code



if colormap is None: colormap='jet'
f,ax = plt.subplots()
for i, data in enumerate(wells):
data.plot.scatter(x,y, c=z, colormap=colormap, ax=ax)
ax.set_xlabel(x); ax.set_xlim(xlim)
ax.set_ylabel(y); ax.set_ylim(ylim)
ax.legend()
ax.grid()
ax.set_title(title)






python pandas scatter-plot






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 13 '18 at 17:12







Cristiana Panzeri

















asked Nov 13 '18 at 16:50









Cristiana PanzeriCristiana Panzeri

758




758








  • 1





    what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

    – anotherone
    Nov 13 '18 at 18:14











  • it's a dataframe. I want just one plot, exactly ...with all the data on it...

    – Cristiana Panzeri
    Nov 14 '18 at 10:02














  • 1





    what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

    – anotherone
    Nov 13 '18 at 18:14











  • it's a dataframe. I want just one plot, exactly ...with all the data on it...

    – Cristiana Panzeri
    Nov 14 '18 at 10:02








1




1





what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

– anotherone
Nov 13 '18 at 18:14





what is the type of wells? a dataframe? how many total plots do you want? just one scatterplot?

– anotherone
Nov 13 '18 at 18:14













it's a dataframe. I want just one plot, exactly ...with all the data on it...

– Cristiana Panzeri
Nov 14 '18 at 10:02





it's a dataframe. I want just one plot, exactly ...with all the data on it...

– Cristiana Panzeri
Nov 14 '18 at 10:02












1 Answer
1






active

oldest

votes


















2














This can be achieved by using figure and adding the axes to the same subplot:



import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])


And then:



fig = plt.figure()
for i, data in enumerate([df1, df2]):
ax = fig.add_subplot(111)
ax = data.plot.scatter(x='a', y='b', ax=ax,
c='#00FF00' if i == 0 else '#FF0000')

plt.show()


Resulting image with two dataframes plotted in one figure



You can add the labels and other elements as required.






share|improve this answer


























  • it doesn't work, it doesn't display my data!

    – Cristiana Panzeri
    Nov 13 '18 at 17:18











  • in this way it plot two colorbars again!

    – Cristiana Panzeri
    Nov 13 '18 at 17:34











  • Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

    – Abhinav Sood
    Nov 13 '18 at 17:46











  • sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

    – Cristiana Panzeri
    Nov 13 '18 at 17:56






  • 1





    You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

    – Abhinav Sood
    Nov 13 '18 at 18:25











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














This can be achieved by using figure and adding the axes to the same subplot:



import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])


And then:



fig = plt.figure()
for i, data in enumerate([df1, df2]):
ax = fig.add_subplot(111)
ax = data.plot.scatter(x='a', y='b', ax=ax,
c='#00FF00' if i == 0 else '#FF0000')

plt.show()


Resulting image with two dataframes plotted in one figure



You can add the labels and other elements as required.






share|improve this answer


























  • it doesn't work, it doesn't display my data!

    – Cristiana Panzeri
    Nov 13 '18 at 17:18











  • in this way it plot two colorbars again!

    – Cristiana Panzeri
    Nov 13 '18 at 17:34











  • Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

    – Abhinav Sood
    Nov 13 '18 at 17:46











  • sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

    – Cristiana Panzeri
    Nov 13 '18 at 17:56






  • 1





    You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

    – Abhinav Sood
    Nov 13 '18 at 18:25
















2














This can be achieved by using figure and adding the axes to the same subplot:



import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])


And then:



fig = plt.figure()
for i, data in enumerate([df1, df2]):
ax = fig.add_subplot(111)
ax = data.plot.scatter(x='a', y='b', ax=ax,
c='#00FF00' if i == 0 else '#FF0000')

plt.show()


Resulting image with two dataframes plotted in one figure



You can add the labels and other elements as required.






share|improve this answer


























  • it doesn't work, it doesn't display my data!

    – Cristiana Panzeri
    Nov 13 '18 at 17:18











  • in this way it plot two colorbars again!

    – Cristiana Panzeri
    Nov 13 '18 at 17:34











  • Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

    – Abhinav Sood
    Nov 13 '18 at 17:46











  • sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

    – Cristiana Panzeri
    Nov 13 '18 at 17:56






  • 1





    You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

    – Abhinav Sood
    Nov 13 '18 at 18:25














2












2








2







This can be achieved by using figure and adding the axes to the same subplot:



import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])


And then:



fig = plt.figure()
for i, data in enumerate([df1, df2]):
ax = fig.add_subplot(111)
ax = data.plot.scatter(x='a', y='b', ax=ax,
c='#00FF00' if i == 0 else '#FF0000')

plt.show()


Resulting image with two dataframes plotted in one figure



You can add the labels and other elements as required.






share|improve this answer















This can be achieved by using figure and adding the axes to the same subplot:



import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])


And then:



fig = plt.figure()
for i, data in enumerate([df1, df2]):
ax = fig.add_subplot(111)
ax = data.plot.scatter(x='a', y='b', ax=ax,
c='#00FF00' if i == 0 else '#FF0000')

plt.show()


Resulting image with two dataframes plotted in one figure



You can add the labels and other elements as required.







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 13 '18 at 21:24

























answered Nov 13 '18 at 16:54









Abhinav SoodAbhinav Sood

656418




656418













  • it doesn't work, it doesn't display my data!

    – Cristiana Panzeri
    Nov 13 '18 at 17:18











  • in this way it plot two colorbars again!

    – Cristiana Panzeri
    Nov 13 '18 at 17:34











  • Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

    – Abhinav Sood
    Nov 13 '18 at 17:46











  • sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

    – Cristiana Panzeri
    Nov 13 '18 at 17:56






  • 1





    You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

    – Abhinav Sood
    Nov 13 '18 at 18:25



















  • it doesn't work, it doesn't display my data!

    – Cristiana Panzeri
    Nov 13 '18 at 17:18











  • in this way it plot two colorbars again!

    – Cristiana Panzeri
    Nov 13 '18 at 17:34











  • Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

    – Abhinav Sood
    Nov 13 '18 at 17:46











  • sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

    – Cristiana Panzeri
    Nov 13 '18 at 17:56






  • 1





    You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

    – Abhinav Sood
    Nov 13 '18 at 18:25

















it doesn't work, it doesn't display my data!

– Cristiana Panzeri
Nov 13 '18 at 17:18





it doesn't work, it doesn't display my data!

– Cristiana Panzeri
Nov 13 '18 at 17:18













in this way it plot two colorbars again!

– Cristiana Panzeri
Nov 13 '18 at 17:34





in this way it plot two colorbars again!

– Cristiana Panzeri
Nov 13 '18 at 17:34













Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

– Abhinav Sood
Nov 13 '18 at 17:46





Okay, let's try this again :) I have updated the snippet so that we have one figure and plot all the scatters to one subplot. Can I also ask you to share a little bit about the data and the plotting library being used? Is it a pandas dataframe? Can you share a few sample rows?

– Abhinav Sood
Nov 13 '18 at 17:46













sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

– Cristiana Panzeri
Nov 13 '18 at 17:56





sorry, can't share data...but they are alla pandas dataframe, no other libraries used in this :)

– Cristiana Panzeri
Nov 13 '18 at 17:56




1




1





You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

– Abhinav Sood
Nov 13 '18 at 18:25





You can see my updated answer, with a working example. You can add your labels, grids and axis limits as required.

– Abhinav Sood
Nov 13 '18 at 18:25


















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