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Bro i have one doubt , in the example you have mentioned the datatype as Char(20) , But the salary is an integer or an decimal . can you explain that please
Thanks for the breakdown! 🤔 I wanted to ask something unrelated: 🤔 I found these words 😅. (behave today finger ski upon boy assault summer exhaust beauty stereo over). How do I use this? 🤨
worst video you are explaining indexes and showing how to create them but not showing what they are used for (searching) how to search with these indexes should have been the main topic of video you do not fit as a teacher
Hello Sir, I have one small error in your project from video timing 16.00 to 16.45 ValueError Traceback (most recent call last) Cell In[14], line 1 ----> 1 corr_df=df_tracks2.drop(["key","mode","explicit"],axis = 1).corr(method="pearson") File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\frame.py:11049, in DataFrame.corr(self, method, min_periods, numeric_only) 11047 cols = data.columns 11048 idx = cols.copy() > 11049 mat = data.to_numpy(dtype=float, na_value=np.nan, copy=False) 11051 if method == "pearson": 11052 correl = libalgos.nancorr(mat, minp=min_periods) File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\frame.py:1993, in DataFrame.to_numpy(self, dtype, copy, na_value) 1991 if dtype is not None: 1992 dtype = np.dtype(dtype) -> 1993 result = self._mgr.as_array(dtype=dtype, copy=copy, na_value=na_value) 1994 if result.dtype is not dtype: 1995 result = np.asarray(result, dtype=dtype) File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\internals\managers.py:1694, in BlockManager.as_array(self, dtype, copy, na_value) 1692 arr.flags.writeable = False 1693 else: -> 1694 arr = self._interleave(dtype=dtype, na_value=na_value) 1695 # The underlying data was copied within _interleave, so no need 1696 # to further copy if copy=True or setting na_value ... -> 1753 result[rl.indexer] = arr 1754 itemmask[rl.indexer] = 1 1756 if not itemmask.all(): ValueError: could not convert string to float: '35iwgR4jXetI318WEWsa1Q'
