**AttributeError: module 'numpy' has no attribute 'float'.
***`np.float` was a deprecated alias for the builtin `flo**at`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
-- Projeto importado pelo instrutor referente ao módulo 4.3 do curso de análise e visualização de modos. O meu anterior funcionava até o mesmo ponto, e então apresentava o mesmo erro. Decidi então tentar com o projeto do instrutor e recebi o mesmo bug.
AttributeError Traceback (most recent call last)
Cell In[7], line 45
42 contagem_de_lingua.columns = ["original_language", "total"]
43 contagem_de_lingua.head()
---> 45 sns.barplot(x="original_language", y = "total", data = contagem_de_lingua)
47 sns.catplot(x = "original_language", kind="count", data = tmdb)
49 plt.pie(contagem_de_lingua["total"], labels = contagem_de_lingua["original_language"])
File ~\AppData\Roaming\Python\Python311\site-packages\seaborn\categorical.py:3146, in barplot(x, y, hue, data, order, hue_order, estimator, ci, n_boot, units, orient, color, palette, saturation, errcolor, errwidth, capsize, dodge, ax, **kwargs)
3140 def barplot(x=None, y=None, hue=None, data=None, order=None, hue_order=None,
3141 estimator=np.mean, ci=95, n_boot=1000, units=None,
3142 orient=None, color=None, palette=None, saturation=.75,
3143 errcolor=".26", errwidth=None, capsize=None, dodge=True,
3144 ax=None, **kwargs):
-> 3146 plotter = _BarPlotter(x, y, hue, data, order, hue_order,
3147 estimator, ci, n_boot, units,
3148 orient, color, palette, saturation,
3149 errcolor, errwidth, capsize, dodge)
3151 if ax is None:
3152 ax = plt.gca()
File ~\AppData\Roaming\Python\Python311\site-packages\seaborn\categorical.py:1606, in _BarPlotter.__init__(self, x, y, hue, data, order, hue_order, estimator, ci, n_boot, units, orient, color, palette, saturation, errcolor, errwidth, capsize, dodge)
1601 def __init__(self, x, y, hue, data, order, hue_order,
1602 estimator, ci, n_boot, units,
1603 orient, color, palette, saturation, errcolor,
1604 errwidth, capsize, dodge):
1605 """Initialize the plotter."""
-> 1606 self.establish_variables(x, y, hue, data, orient,
1607 order, hue_order, units)
1608 self.establish_colors(color, palette, saturation)
1609 self.estimate_statistic(estimator, ci, n_boot)
File ~\AppData\Roaming\Python\Python311\site-packages\seaborn\categorical.py:158, in _CategoricalPlotter.establish_variables(self, x, y, hue, data, orient, order, hue_order, units)
155 raise ValueError(err)
157 # Figure out the plotting orientation
--> 158 orient = self.infer_orient(x, y, orient)
160 # Option 2a:
161 # We are plotting a single set of data
162 # ------------------------------------
163 if x is None or y is None:
164
165 # Determine where the data are
File ~\AppData\Roaming\Python\Python311\site-packages\seaborn\categorical.py:359, in _CategoricalPlotter.infer_orient(self, x, y, orient)
357 else:
358 return "h"
--> 359 elif is_not_numeric(y):
360 if is_not_numeric(x):
361 raise ValueError(no_numeric)
File ~\AppData\Roaming\Python\Python311\site-packages\seaborn\categorical.py:339, in _CategoricalPlotter.infer_orient.<locals>.is_not_numeric(s)
337 def is_not_numeric(s):
338 try:
--> 339 np.asarray(s, dtype=np.float)
340 except ValueError:
341 return True
File ~\AppData\Roaming\Python\Python311\site-packages\numpy\__init__.py:338, in __getattr__(attr)
333 warnings.warn(
334 f"In the future `np.{attr}` will be defined as the "
335 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
337 if attr in __former_attrs__:
--> 338 raise AttributeError(__former_attrs__[attr])
340 if attr == 'testing':
341 import numpy.testing as testing
