The error is reproducible if the array is of dtype=object:

import numpy  as np

label0 = np.random.random((50, 3)).astype(object)
np.cov(label0, rowvar=False)

AttributeError: 'float' object has no attribute 'shape'

If possible you should convert it to a numeric type. For example:

np.cov(label0.astype(float), rowvar=False)  # works

Note: object arrays are rarely useful (they are slow and not all NumPy functions deal gracefully with these - like in this case), so it could make sense to check where it came from and also fix that.

I got the same problem and was trying to find a solution but did not see the answer I was looking for. So I guess provide an answer here may help people like me.

The problem here is that the type of df.total_bill is object instead of float.

So the solution is to change it to float befor pass the dataframe to seaborn:

df.total_bill = df.total_bill.astype(float)

Try this instead,

  print(
"{:.3f}% {} ({} sentences)".format(pcent, gender, nsents)
)

Refer the latest docs for more examples and check the Py version!

Either, df is a Series:

>>> df
a    10.0
b    12.0
dtype: float64

or a columns of your dataframe has a wrong type:

>>> df
      a     b
0  10.0  20.0
1  12.0  22.0

>>> df.dtypes
a    float64
b     object
dtype: object