Python Forum

Hi

I am currently facing an problem which might be usual to you as i have just started my party, i thought to take help from Masters.

I am trying to plot a graph for the label which i created

fig, ax = plt.subplots(figsize=(8, 8))
counts = df.label.value_counts(normalize=True) * 100
print(counts)

Output is:

Output:
0    100.0
Name: label, dtype: float64

There supposed to be
0 100.0
-1 0.0
1 0.0

Since my label has 0 only thats why it is giving 100 viz. correct

when i am executing second part of python:

sns.barplot(x=counts.index, y=counts, ax=ax)
ax.set_xticklabels([ 'Neutral', 'Negative','Positive'])
ax.set_ylabel("Percentage")
plt.show()

I gives value error

Error:
--------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-15-243f41dc9975> in <module>
     13 
     14 
---> 15 ax.set_xticklabels([ 'Neutral', 'Negative','Positive'])
     16 ax.set_ylabel("Percentage")
     17 

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axes\_base.py in wrapper(self, *args, **kwargs)
     61 
     62         def wrapper(self, *args, **kwargs):
---> 63             return get_method(self)(*args, **kwargs)
     64 
     65         wrapper.__module__ = owner.__module__

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*args, **kwargs)
    449                 "parameter will become keyword-only %(removal)s.",
    450                 name=name, obj_type=f"parameter of {func.__name__}()")
--> 451         return func(*args, **kwargs)
    452 
    453     return wrapper

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axis.py in _set_ticklabels(self, labels, fontdict, minor, **kwargs)
   1794         if fontdict is not None:
   1795             kwargs.update(fontdict)
-> 1796         return self.set_ticklabels(labels, minor=minor, **kwargs)
   1797 
   1798     @cbook._make_keyword_only("3.2", "minor")

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axis.py in set_ticklabels(self, ticklabels, minor, **kwargs)
   1715             # remove all tick labels, so only error for > 0 ticklabels
   1716             if len(locator.locs) != len(ticklabels) and len(ticklabels) != 0:
-> 1717                 raise ValueError(
   1718                     "The number of FixedLocator locations"
   1719                     f" ({len(locator.locs)}), usually from a call to"

ValueError: The number of FixedLocator locations (1), usually from a call to set_ticks, does not match the number of ticklabels (3).

I want it to display all positive negative and neutral result, but its showing only one graph in display. please help how to achieve this. I dont mind changing whole code.

(May-26-2021, 05:54 AM)drunkenneo Wrote: [ -> ]Hi

I am currently facing an problem which might be usual to you as i have just started my party, i thought to take help from Masters.

I am trying to plot a graph for the label which i created

fig, ax = plt.subplots(figsize=(8, 8))
counts = df.label.value_counts(normalize=True) * 100
print(counts)

Output is:

Output:
0    100.0
Name: label, dtype: float64

There supposed to be
0 100.0
-1 0.0
1 0.0

Since my label has 0 only thats why it is giving 100 viz. correct

when i am executing second part of python:

sns.barplot(x=counts.index, y=counts, ax=ax)
ax.set_xticklabels([ 'Neutral', 'Negative','Positive'])
ax.set_ylabel("Percentage")
plt.show()

I gives value error

Error:
--------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-15-243f41dc9975> in <module>
     13 
     14 
---> 15 ax.set_xticklabels([ 'Neutral', 'Negative','Positive'])
     16 ax.set_ylabel("Percentage")
     17 

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axes\_base.py in wrapper(self, *args, **kwargs)
     61 
     62         def wrapper(self, *args, **kwargs):
---> 63             return get_method(self)(*args, **kwargs)
     64 
     65         wrapper.__module__ = owner.__module__

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*args, **kwargs)
    449                 "parameter will become keyword-only %(removal)s.",
    450                 name=name, obj_type=f"parameter of {func.__name__}()")
--> 451         return func(*args, **kwargs)
    452 
    453     return wrapper

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axis.py in _set_ticklabels(self, labels, fontdict, minor, **kwargs)
   1794         if fontdict is not None:
   1795             kwargs.update(fontdict)
-> 1796         return self.set_ticklabels(labels, minor=minor, **kwargs)
   1797 
   1798     @cbook._make_keyword_only("3.2", "minor")

c:\Bhaskar\ML\env\lib\site-packages\matplotlib\axis.py in set_ticklabels(self, ticklabels, minor, **kwargs)
   1715             # remove all tick labels, so only error for > 0 ticklabels
   1716             if len(locator.locs) != len(ticklabels) and len(ticklabels) != 0:
-> 1717                 raise ValueError(
   1718                     "The number of FixedLocator locations"
   1719                     f" ({len(locator.locs)}), usually from a call to"

ValueError: The number of FixedLocator locations (1), usually from a call to set_ticks, does not match the number of ticklabels (3).

I want it to display all positive negative and neutral result, but its showing only one graph in display. please help how to achieve this. I dont mind changing whole code.

You have not posted the full python code, the first 3 lines result in df not defined and plt not defined.
You'll need to show full code with your python imports to get an answer