matplotlib shows no legend [duplicate]
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Python legend attribute error
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I have a dataframe which i had to transfer into numpy arrays, because i want to plot over the index which is a datetime but i get this error:
KeyError: "DatetimeIndex(['2000-01-01', '2001-01-01', '2002-01-01', '2003-01-01',n '2004-01-01', '2005-01-01', '2006-01-01', '2007-01-01',n '2008-01-01', '2009-01-01', '2010-01-01', '2011-01-01',n '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01',n '2016-01-01', '2017-01-01'],n dtype='datetime64[ns]', name='year', freq=None) not in index"
Here is my dataframe:
rel_uncertain rel_modal_wk rel_positive rel_modal_me rel_modal_st rel_cnstrain rel_litigious rel_negative year
0 0.003264 0.000568 0.007659 0.002442 0.011443 0.002170 0.004246 0.003857 2000-01-01
1 0.006195 0.002193 0.007991 0.002325 0.009876 0.002229 0.007343 0.006189 2001-01-01
2 0.005952 0.000719 0.011846 0.001773 0.009697 0.001392 0.001874 0.003313 2002-01-01
3 0.006306 0.001038 0.008452 0.001925 0.009386 0.001180 0.002856 0.001219 2003-01-01
4 0.005013 0.001374 0.007348 0.001017 0.008259 0.001533 0.003306 0.004437 2004-01-01
this is the way i transfermed it np arrays in order to plot it
year=np.array(df12.year)
un=np.array(df12.rel_uncertain,)
neg= np.array(df12.rel_negative)
then im plotting it
plt.plot(x,neg, label = 'neg')
plt.plot(x,pos,)
works fine except for the legend
i tried to use mlp's legend function and to create the legend manually
therefore i altered my code:
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
plt.plot(x,pos,)
plt.legend(handles=[negative])
which gives me the following error:
AttributeError: 'list' object has no attribute 'get_label'
python python-3.x pandas matplotlib
asked Nov 22 at 17:12
user10395806
356
marked as duplicate by ImportanceOfBeingErnest matplotlib
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Nov 22 at 19:39
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
add a comment |
up vote
0
down vote
favorite
This question already has an answer here:
Python legend attribute error
1 answer
I have a dataframe which i had to transfer into numpy arrays, because i want to plot over the index which is a datetime but i get this error:
KeyError: "DatetimeIndex(['2000-01-01', '2001-01-01', '2002-01-01', '2003-01-01',n '2004-01-01', '2005-01-01', '2006-01-01', '2007-01-01',n '2008-01-01', '2009-01-01', '2010-01-01', '2011-01-01',n '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01',n '2016-01-01', '2017-01-01'],n dtype='datetime64[ns]', name='year', freq=None) not in index"
Here is my dataframe:
rel_uncertain rel_modal_wk rel_positive rel_modal_me rel_modal_st rel_cnstrain rel_litigious rel_negative year
0 0.003264 0.000568 0.007659 0.002442 0.011443 0.002170 0.004246 0.003857 2000-01-01
1 0.006195 0.002193 0.007991 0.002325 0.009876 0.002229 0.007343 0.006189 2001-01-01
2 0.005952 0.000719 0.011846 0.001773 0.009697 0.001392 0.001874 0.003313 2002-01-01
3 0.006306 0.001038 0.008452 0.001925 0.009386 0.001180 0.002856 0.001219 2003-01-01
4 0.005013 0.001374 0.007348 0.001017 0.008259 0.001533 0.003306 0.004437 2004-01-01
this is the way i transfermed it np arrays in order to plot it
year=np.array(df12.year)
un=np.array(df12.rel_uncertain,)
neg= np.array(df12.rel_negative)
then im plotting it
plt.plot(x,neg, label = 'neg')
plt.plot(x,pos,)
works fine except for the legend
i tried to use mlp's legend function and to create the legend manually
therefore i altered my code:
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
plt.plot(x,pos,)
plt.legend(handles=[negative])
which gives me the following error:
AttributeError: 'list' object has no attribute 'get_label'
python python-3.x pandas matplotlib
asked Nov 22 at 17:12
user10395806
356
marked as duplicate by ImportanceOfBeingErnest matplotlib
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Nov 22 at 19:39
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
what exactly do you mean?
– user10395806
Nov 22 at 17:45
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
This question already has an answer here:
Python legend attribute error
1 answer
I have a dataframe which i had to transfer into numpy arrays, because i want to plot over the index which is a datetime but i get this error:
KeyError: "DatetimeIndex(['2000-01-01', '2001-01-01', '2002-01-01', '2003-01-01',n '2004-01-01', '2005-01-01', '2006-01-01', '2007-01-01',n '2008-01-01', '2009-01-01', '2010-01-01', '2011-01-01',n '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01',n '2016-01-01', '2017-01-01'],n dtype='datetime64[ns]', name='year', freq=None) not in index"
Here is my dataframe:
rel_uncertain rel_modal_wk rel_positive rel_modal_me rel_modal_st rel_cnstrain rel_litigious rel_negative year
0 0.003264 0.000568 0.007659 0.002442 0.011443 0.002170 0.004246 0.003857 2000-01-01
1 0.006195 0.002193 0.007991 0.002325 0.009876 0.002229 0.007343 0.006189 2001-01-01
2 0.005952 0.000719 0.011846 0.001773 0.009697 0.001392 0.001874 0.003313 2002-01-01
3 0.006306 0.001038 0.008452 0.001925 0.009386 0.001180 0.002856 0.001219 2003-01-01
4 0.005013 0.001374 0.007348 0.001017 0.008259 0.001533 0.003306 0.004437 2004-01-01
this is the way i transfermed it np arrays in order to plot it
year=np.array(df12.year)
un=np.array(df12.rel_uncertain,)
neg= np.array(df12.rel_negative)
then im plotting it
plt.plot(x,neg, label = 'neg')
plt.plot(x,pos,)
works fine except for the legend
i tried to use mlp's legend function and to create the legend manually
therefore i altered my code:
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
plt.plot(x,pos,)
plt.legend(handles=[negative])
which gives me the following error:
AttributeError: 'list' object has no attribute 'get_label'
python python-3.x pandas matplotlib
asked Nov 22 at 17:12
user10395806
356
This question already has an answer here:
Python legend attribute error
1 answer
I have a dataframe which i had to transfer into numpy arrays, because i want to plot over the index which is a datetime but i get this error:
KeyError: "DatetimeIndex(['2000-01-01', '2001-01-01', '2002-01-01', '2003-01-01',n '2004-01-01', '2005-01-01', '2006-01-01', '2007-01-01',n '2008-01-01', '2009-01-01', '2010-01-01', '2011-01-01',n '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01',n '2016-01-01', '2017-01-01'],n dtype='datetime64[ns]', name='year', freq=None) not in index"
Here is my dataframe:
rel_uncertain rel_modal_wk rel_positive rel_modal_me rel_modal_st rel_cnstrain rel_litigious rel_negative year
0 0.003264 0.000568 0.007659 0.002442 0.011443 0.002170 0.004246 0.003857 2000-01-01
1 0.006195 0.002193 0.007991 0.002325 0.009876 0.002229 0.007343 0.006189 2001-01-01
2 0.005952 0.000719 0.011846 0.001773 0.009697 0.001392 0.001874 0.003313 2002-01-01
3 0.006306 0.001038 0.008452 0.001925 0.009386 0.001180 0.002856 0.001219 2003-01-01
4 0.005013 0.001374 0.007348 0.001017 0.008259 0.001533 0.003306 0.004437 2004-01-01
this is the way i transfermed it np arrays in order to plot it
year=np.array(df12.year)
un=np.array(df12.rel_uncertain,)
neg= np.array(df12.rel_negative)
then im plotting it
plt.plot(x,neg, label = 'neg')
plt.plot(x,pos,)
works fine except for the legend
i tried to use mlp's legend function and to create the legend manually
therefore i altered my code:
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
plt.plot(x,pos,)
plt.legend(handles=[negative])
which gives me the following error:
AttributeError: 'list' object has no attribute 'get_label'
This question already has an answer here:
Python legend attribute error
1 answer
python python-3.x pandas matplotlib
python python-3.x pandas matplotlib
asked Nov 22 at 17:12
user10395806
356
asked Nov 22 at 17:12
user10395806
356
edited Nov 22 at 17:21
asked Nov 22 at 17:12
user10395806
356
asked Nov 22 at 17:12
user10395806
356
asked Nov 22 at 17:12
user10395806
356
356
marked as duplicate by ImportanceOfBeingErnest matplotlib
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Nov 22 at 19:39
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
marked as duplicate by ImportanceOfBeingErnest matplotlib
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Nov 22 at 19:39
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
what exactly do you mean?
– user10395806
Nov 22 at 17:45
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40
add a comment |
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
what exactly do you mean?
– user10395806
Nov 22 at 17:45
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
what exactly do you mean?
– user10395806
Nov 22 at 17:45
what exactly do you mean?
– user10395806
Nov 22 at 17:45
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
solved for the numpy array by calling
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
positive= plt.plot(x,pos,label = 'positive')
plt.legend(handles=[negative[0],positive[0]])
although i dont really understand it.
found the answer here: Python legend attribute error
answered Nov 22 at 17:51
user10395806
356
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
solved for the numpy array by calling
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
positive= plt.plot(x,pos,label = 'positive')
plt.legend(handles=[negative[0],positive[0]])
although i dont really understand it.
found the answer here: Python legend attribute error
answered Nov 22 at 17:51
user10395806
356
add a comment |
up vote
0
down vote
solved for the numpy array by calling
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
positive= plt.plot(x,pos,label = 'positive')
plt.legend(handles=[negative[0],positive[0]])
although i dont really understand it.
found the answer here: Python legend attribute error
answered Nov 22 at 17:51
user10395806
356
add a comment |
up vote
0
down vote
up vote
0
down vote
solved for the numpy array by calling
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
positive= plt.plot(x,pos,label = 'positive')
plt.legend(handles=[negative[0],positive[0]])
although i dont really understand it.
found the answer here: Python legend attribute error
answered Nov 22 at 17:51
user10395806
356
solved for the numpy array by calling
negative=plt.plot(x,neg,linestyle ='dashed', label='negative')
positive= plt.plot(x,pos,label = 'positive')
plt.legend(handles=[negative[0],positive[0]])
although i dont really understand it.
found the answer here: Python legend attribute error
answered Nov 22 at 17:51
user10395806
356
answered Nov 22 at 17:51
user10395806
356
answered Nov 22 at 17:51
user10395806
356
answered Nov 22 at 17:51
user10395806
356
356
add a comment |
add a comment |
Check the parameter type you are passing.
– Hayat
Nov 22 at 17:28
what exactly do you mean?
– user10395806
Nov 22 at 17:45
Also see this question
– ImportanceOfBeingErnest
Nov 22 at 19:40