Connect barplots in seaborn/matplotlib

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I have a dataframe of volume by country for two specific years. I would like to visualize how those countries change their rank from one year to another. I would like to know if it's possible with matplotlib or seaborn to connect those barplots by phisycally drawing a line outlining the change of rank.



Something like this:



enter image description here



Base data and code:



import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

d = {'volume' : [1000, 500, 200, 100, 350, 600], 'year' : [2017, 2017, 2017, 2018, 2018, 2018], 'country' : ['US', 'UK', 'France', 'US', 'UK', 'France']}
df = pd.DataFrame(data=d)

fix, axs = plt.subplots(ncols=2)
sns.barplot(x='volume',y='country', data=df[df['year']==2017].sort_values(by='volume', ascending = False), ax=axs[0])
sns.barplot(x='volume',y='country', data=df[df['year']==2018].sort_values(by='volume', ascending = False), ax=axs[1])
plt.show()









share|improve this question























  • Maybe you are looking for Drawing lines between two plots in Matplotlib?

    – ImportanceOfBeingErnest
    Nov 20 '18 at 19:31








  • 1





    Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

    – Xiaoyu Lu
    Nov 20 '18 at 19:44


















0















I have a dataframe of volume by country for two specific years. I would like to visualize how those countries change their rank from one year to another. I would like to know if it's possible with matplotlib or seaborn to connect those barplots by phisycally drawing a line outlining the change of rank.



Something like this:



enter image description here



Base data and code:



import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

d = {'volume' : [1000, 500, 200, 100, 350, 600], 'year' : [2017, 2017, 2017, 2018, 2018, 2018], 'country' : ['US', 'UK', 'France', 'US', 'UK', 'France']}
df = pd.DataFrame(data=d)

fix, axs = plt.subplots(ncols=2)
sns.barplot(x='volume',y='country', data=df[df['year']==2017].sort_values(by='volume', ascending = False), ax=axs[0])
sns.barplot(x='volume',y='country', data=df[df['year']==2018].sort_values(by='volume', ascending = False), ax=axs[1])
plt.show()









share|improve this question























  • Maybe you are looking for Drawing lines between two plots in Matplotlib?

    – ImportanceOfBeingErnest
    Nov 20 '18 at 19:31








  • 1





    Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

    – Xiaoyu Lu
    Nov 20 '18 at 19:44
















0












0








0








I have a dataframe of volume by country for two specific years. I would like to visualize how those countries change their rank from one year to another. I would like to know if it's possible with matplotlib or seaborn to connect those barplots by phisycally drawing a line outlining the change of rank.



Something like this:



enter image description here



Base data and code:



import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

d = {'volume' : [1000, 500, 200, 100, 350, 600], 'year' : [2017, 2017, 2017, 2018, 2018, 2018], 'country' : ['US', 'UK', 'France', 'US', 'UK', 'France']}
df = pd.DataFrame(data=d)

fix, axs = plt.subplots(ncols=2)
sns.barplot(x='volume',y='country', data=df[df['year']==2017].sort_values(by='volume', ascending = False), ax=axs[0])
sns.barplot(x='volume',y='country', data=df[df['year']==2018].sort_values(by='volume', ascending = False), ax=axs[1])
plt.show()









share|improve this question














I have a dataframe of volume by country for two specific years. I would like to visualize how those countries change their rank from one year to another. I would like to know if it's possible with matplotlib or seaborn to connect those barplots by phisycally drawing a line outlining the change of rank.



Something like this:



enter image description here



Base data and code:



import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

d = {'volume' : [1000, 500, 200, 100, 350, 600], 'year' : [2017, 2017, 2017, 2018, 2018, 2018], 'country' : ['US', 'UK', 'France', 'US', 'UK', 'France']}
df = pd.DataFrame(data=d)

fix, axs = plt.subplots(ncols=2)
sns.barplot(x='volume',y='country', data=df[df['year']==2017].sort_values(by='volume', ascending = False), ax=axs[0])
sns.barplot(x='volume',y='country', data=df[df['year']==2018].sort_values(by='volume', ascending = False), ax=axs[1])
plt.show()






python matplotlib seaborn






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asked Nov 20 '18 at 19:25









VictorVictor

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383723













  • Maybe you are looking for Drawing lines between two plots in Matplotlib?

    – ImportanceOfBeingErnest
    Nov 20 '18 at 19:31








  • 1





    Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

    – Xiaoyu Lu
    Nov 20 '18 at 19:44





















  • Maybe you are looking for Drawing lines between two plots in Matplotlib?

    – ImportanceOfBeingErnest
    Nov 20 '18 at 19:31








  • 1





    Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

    – Xiaoyu Lu
    Nov 20 '18 at 19:44



















Maybe you are looking for Drawing lines between two plots in Matplotlib?

– ImportanceOfBeingErnest
Nov 20 '18 at 19:31







Maybe you are looking for Drawing lines between two plots in Matplotlib?

– ImportanceOfBeingErnest
Nov 20 '18 at 19:31






1




1





Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

– Xiaoyu Lu
Nov 20 '18 at 19:44







Based on what I understand, maybe the parallel plot is something better suited to your need? python-graph-gallery.com/parallel-plot

– Xiaoyu Lu
Nov 20 '18 at 19:44














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