May-26-2021, 05:54 AM
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
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:
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.