Same process outputs different numpy arrays
I've got a script that turns songs into numpy arrays (librosa library), pickles them to db and later extracts.
I'm storing arrays in SQLite like it's shown there
So my script parses 4 different folders with rap, rock, pop and electro songs, 100~ files each. The same function is used for every folder:
def insert(self, genre, data):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f"""insert into {genre} values(?)""", (data,))
conn.commit()
conn.close()
But when I output these arrays, they all look different. Rap and pop are shown one way (the way I need) and rock and electro the other one. Example:
The way I don't need:
[[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 2.54755225e-02
1.35376751e-01 -7.20393434e-02]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -2.36755103e-01
-1.50851190e-01 -1.60914958e-01]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -9.19092745e-02
-7.79412016e-02 -5.93096465e-02]]
...
The way I need:
[[array([-1.3420450e-05, -1.2423131e-05, -1.5018032e-05, ...,
-3.0817756e-01, -2.4027914e-01, -2.3190670e-01], dtype=float32)]
[array([ 0. , 0. , 0. , ..., -0.7026442 ,
-0.67226726, -0.7215703 ], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.06976765, 0.22147852,
0.11491765], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.22524872, 0.1910718 ,
0.2159081 ], dtype=float32)]
My extract method:
def execute(self, genre):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f'''select arr from {genre}''')
data = curs.fetchall()
conn.close()
return data
So my question is how is this possible? The order of outputs is: good, bad, good, bad
What's wrong?
P.S. the key difference is shown while running .size method:
130
110139750
130
172651500
Even though the size must be around 100. Built-in len() function in this case works as expected.
python numpy
asked Dec 27 '18 at 15:53
Desiigner
1568
add a comment |
I've got a script that turns songs into numpy arrays (librosa library), pickles them to db and later extracts.
I'm storing arrays in SQLite like it's shown there
So my script parses 4 different folders with rap, rock, pop and electro songs, 100~ files each. The same function is used for every folder:
def insert(self, genre, data):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f"""insert into {genre} values(?)""", (data,))
conn.commit()
conn.close()
But when I output these arrays, they all look different. Rap and pop are shown one way (the way I need) and rock and electro the other one. Example:
The way I don't need:
[[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 2.54755225e-02
1.35376751e-01 -7.20393434e-02]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -2.36755103e-01
-1.50851190e-01 -1.60914958e-01]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -9.19092745e-02
-7.79412016e-02 -5.93096465e-02]]
...
The way I need:
[[array([-1.3420450e-05, -1.2423131e-05, -1.5018032e-05, ...,
-3.0817756e-01, -2.4027914e-01, -2.3190670e-01], dtype=float32)]
[array([ 0. , 0. , 0. , ..., -0.7026442 ,
-0.67226726, -0.7215703 ], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.06976765, 0.22147852,
0.11491765], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.22524872, 0.1910718 ,
0.2159081 ], dtype=float32)]
My extract method:
def execute(self, genre):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f'''select arr from {genre}''')
data = curs.fetchall()
conn.close()
return data
So my question is how is this possible? The order of outputs is: good, bad, good, bad
What's wrong?
P.S. the key difference is shown while running .size method:
130
110139750
130
172651500
Even though the size must be around 100. Built-in len() function in this case works as expected.
python numpy
asked Dec 27 '18 at 15:53
Desiigner
1568
add a comment |
I've got a script that turns songs into numpy arrays (librosa library), pickles them to db and later extracts.
I'm storing arrays in SQLite like it's shown there
So my script parses 4 different folders with rap, rock, pop and electro songs, 100~ files each. The same function is used for every folder:
def insert(self, genre, data):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f"""insert into {genre} values(?)""", (data,))
conn.commit()
conn.close()
But when I output these arrays, they all look different. Rap and pop are shown one way (the way I need) and rock and electro the other one. Example:
The way I don't need:
[[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 2.54755225e-02
1.35376751e-01 -7.20393434e-02]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -2.36755103e-01
-1.50851190e-01 -1.60914958e-01]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -9.19092745e-02
-7.79412016e-02 -5.93096465e-02]]
...
The way I need:
[[array([-1.3420450e-05, -1.2423131e-05, -1.5018032e-05, ...,
-3.0817756e-01, -2.4027914e-01, -2.3190670e-01], dtype=float32)]
[array([ 0. , 0. , 0. , ..., -0.7026442 ,
-0.67226726, -0.7215703 ], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.06976765, 0.22147852,
0.11491765], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.22524872, 0.1910718 ,
0.2159081 ], dtype=float32)]
My extract method:
def execute(self, genre):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f'''select arr from {genre}''')
data = curs.fetchall()
conn.close()
return data
So my question is how is this possible? The order of outputs is: good, bad, good, bad
What's wrong?
P.S. the key difference is shown while running .size method:
130
110139750
130
172651500
Even though the size must be around 100. Built-in len() function in this case works as expected.
python numpy
asked Dec 27 '18 at 15:53
Desiigner
1568
I've got a script that turns songs into numpy arrays (librosa library), pickles them to db and later extracts.
I'm storing arrays in SQLite like it's shown there
So my script parses 4 different folders with rap, rock, pop and electro songs, 100~ files each. The same function is used for every folder:
def insert(self, genre, data):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f"""insert into {genre} values(?)""", (data,))
conn.commit()
conn.close()
But when I output these arrays, they all look different. Rap and pop are shown one way (the way I need) and rock and electro the other one. Example:
The way I don't need:
[[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 2.54755225e-02
1.35376751e-01 -7.20393434e-02]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -2.36755103e-01
-1.50851190e-01 -1.60914958e-01]]
[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -9.19092745e-02
-7.79412016e-02 -5.93096465e-02]]
...
The way I need:
[[array([-1.3420450e-05, -1.2423131e-05, -1.5018032e-05, ...,
-3.0817756e-01, -2.4027914e-01, -2.3190670e-01], dtype=float32)]
[array([ 0. , 0. , 0. , ..., -0.7026442 ,
-0.67226726, -0.7215703 ], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.06976765, 0.22147852,
0.11491765], dtype=float32)]
[array([0. , 0. , 0. , ..., 0.22524872, 0.1910718 ,
0.2159081 ], dtype=float32)]
My extract method:
def execute(self, genre):
conn = sqlite3.connect(DATABASE_FILE,
detect_types=sqlite3.PARSE_DECLTYPES)
curs = conn.cursor()
curs.execute(f'''select arr from {genre}''')
data = curs.fetchall()
conn.close()
return data
So my question is how is this possible? The order of outputs is: good, bad, good, bad
What's wrong?
P.S. the key difference is shown while running .size method:
130
110139750
130
172651500
Even though the size must be around 100. Built-in len() function in this case works as expected.
python numpy
python numpy
asked Dec 27 '18 at 15:53
Desiigner
1568
asked Dec 27 '18 at 15:53
Desiigner
1568
asked Dec 27 '18 at 15:53
Desiigner
1568
asked Dec 27 '18 at 15:53
Desiigner
1568
asked Dec 27 '18 at 15:53
Desiigner
1568
1568
add a comment |
add a comment |
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