Pandas plot bar without NaN values spaces
I have a pandas DataFrame containing NaN values. I want to make a bar plot with the indexes in the x axys, and a bar for each column, grouped by the indexes. I would like to plot only the bars with an actual value.
As far as I'm trying, from this example:
df = pandas.DataFrame({'foo':[1,None,None], 'bar':[None,2,0.5], 'col': [1,1.5,None]}, index=["A","B","C"])
df.plot.bar()
plt.show()
I can produce this plot:
What I would like is to remove the blank spaces left for the NaN columns. So to compact the bars and center the group above the x tick.
python pandas matplotlib histogram
asked Nov 20 '18 at 18:10
ale93pale93p
100215
add a comment |
I have a pandas DataFrame containing NaN values. I want to make a bar plot with the indexes in the x axys, and a bar for each column, grouped by the indexes. I would like to plot only the bars with an actual value.
As far as I'm trying, from this example:
df = pandas.DataFrame({'foo':[1,None,None], 'bar':[None,2,0.5], 'col': [1,1.5,None]}, index=["A","B","C"])
df.plot.bar()
plt.show()
I can produce this plot:
What I would like is to remove the blank spaces left for the NaN columns. So to compact the bars and center the group above the x tick.
python pandas matplotlib histogram
asked Nov 20 '18 at 18:10
ale93pale93p
100215
2
It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16
add a comment |
I have a pandas DataFrame containing NaN values. I want to make a bar plot with the indexes in the x axys, and a bar for each column, grouped by the indexes. I would like to plot only the bars with an actual value.
As far as I'm trying, from this example:
df = pandas.DataFrame({'foo':[1,None,None], 'bar':[None,2,0.5], 'col': [1,1.5,None]}, index=["A","B","C"])
df.plot.bar()
plt.show()
I can produce this plot:
What I would like is to remove the blank spaces left for the NaN columns. So to compact the bars and center the group above the x tick.
python pandas matplotlib histogram
asked Nov 20 '18 at 18:10
ale93pale93p
100215
I have a pandas DataFrame containing NaN values. I want to make a bar plot with the indexes in the x axys, and a bar for each column, grouped by the indexes. I would like to plot only the bars with an actual value.
As far as I'm trying, from this example:
df = pandas.DataFrame({'foo':[1,None,None], 'bar':[None,2,0.5], 'col': [1,1.5,None]}, index=["A","B","C"])
df.plot.bar()
plt.show()
I can produce this plot:
What I would like is to remove the blank spaces left for the NaN columns. So to compact the bars and center the group above the x tick.
python pandas matplotlib histogram
python pandas matplotlib histogram
asked Nov 20 '18 at 18:10
ale93pale93p
100215
asked Nov 20 '18 at 18:10
ale93pale93p
100215
asked Nov 20 '18 at 18:10
ale93pale93p
100215
asked Nov 20 '18 at 18:10
ale93pale93p
100215
asked Nov 20 '18 at 18:10
ale93pale93p
100215
100215
2
It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16
add a comment |
2
It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16
2
2
It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16
It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16
add a comment |
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It's not possible directly with pandas. You can look at how matplotlib grouped barcharts are produced and adapt it to your case.
– ImportanceOfBeingErnest
Nov 20 '18 at 18:16