Histogram bin size
I have a code like this and I am wondering why my bin size of the two plotted graphs is different?
import matplotlib.pyplot as pyplot
bins=15
pyplot.rcParams["figure.figsize"] = (10,10)
#echte_Ladezeit
pyplot.hist(Y_test, bins, alpha=1, label='Y_test; orange Dateien',
color='orange', weights = np.ones_like(Y_test)/float(len(Y_test)))
pyplot.hist(Y_train, bins, alpha=1, label='Y_train; grüne Dateien',
color='green', weights = np.ones_like(Y_train)/float(len(Y_train)))
pyplot.title('Verteilung echte_Ladezeit')
pyplot.xlabel('echte_Ladezeit')
pyplot.ylabel('Häufigkeit [%]')
pyplot.legend(loc='upper right')
pyplot.show()
actually the marked width of the orange and the green one should be the same right? Do I have any mistake in my code?
python pandas histogram
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
add a comment |
I have a code like this and I am wondering why my bin size of the two plotted graphs is different?
import matplotlib.pyplot as pyplot
bins=15
pyplot.rcParams["figure.figsize"] = (10,10)
#echte_Ladezeit
pyplot.hist(Y_test, bins, alpha=1, label='Y_test; orange Dateien',
color='orange', weights = np.ones_like(Y_test)/float(len(Y_test)))
pyplot.hist(Y_train, bins, alpha=1, label='Y_train; grüne Dateien',
color='green', weights = np.ones_like(Y_train)/float(len(Y_train)))
pyplot.title('Verteilung echte_Ladezeit')
pyplot.xlabel('echte_Ladezeit')
pyplot.ylabel('Häufigkeit [%]')
pyplot.legend(loc='upper right')
pyplot.show()
actually the marked width of the orange and the green one should be the same right? Do I have any mistake in my code?
python pandas histogram
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
add a comment |
I have a code like this and I am wondering why my bin size of the two plotted graphs is different?
import matplotlib.pyplot as pyplot
bins=15
pyplot.rcParams["figure.figsize"] = (10,10)
#echte_Ladezeit
pyplot.hist(Y_test, bins, alpha=1, label='Y_test; orange Dateien',
color='orange', weights = np.ones_like(Y_test)/float(len(Y_test)))
pyplot.hist(Y_train, bins, alpha=1, label='Y_train; grüne Dateien',
color='green', weights = np.ones_like(Y_train)/float(len(Y_train)))
pyplot.title('Verteilung echte_Ladezeit')
pyplot.xlabel('echte_Ladezeit')
pyplot.ylabel('Häufigkeit [%]')
pyplot.legend(loc='upper right')
pyplot.show()
actually the marked width of the orange and the green one should be the same right? Do I have any mistake in my code?
python pandas histogram
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
I have a code like this and I am wondering why my bin size of the two plotted graphs is different?
import matplotlib.pyplot as pyplot
bins=15
pyplot.rcParams["figure.figsize"] = (10,10)
#echte_Ladezeit
pyplot.hist(Y_test, bins, alpha=1, label='Y_test; orange Dateien',
color='orange', weights = np.ones_like(Y_test)/float(len(Y_test)))
pyplot.hist(Y_train, bins, alpha=1, label='Y_train; grüne Dateien',
color='green', weights = np.ones_like(Y_train)/float(len(Y_train)))
pyplot.title('Verteilung echte_Ladezeit')
pyplot.xlabel('echte_Ladezeit')
pyplot.ylabel('Häufigkeit [%]')
pyplot.legend(loc='upper right')
pyplot.show()
actually the marked width of the orange and the green one should be the same right? Do I have any mistake in my code?
python pandas histogram
python pandas histogram
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
asked Nov 13 '18 at 9:17
raffa_saraffa_sa
1257
1257
add a comment |
add a comment |
1 Answer
1
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oldest
votes
Your code contains pyplot.hist(..., bins, ...) where bins = 15. This means 15 bins equally spaced between max and min values. Max and min values are different for two datasets so you get different sets of 15 bins. If you want to get bins of equal width for every dataset then you have at least two options.
Normalize datasets - max and min values should be the same for both datasets.
Define bins as a sequence (for example,
list(range(0, 40000 + 1, 5000))) as described here.
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
add a comment |
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1 Answer
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1 Answer
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active
oldest
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votes
Your code contains pyplot.hist(..., bins, ...) where bins = 15. This means 15 bins equally spaced between max and min values. Max and min values are different for two datasets so you get different sets of 15 bins. If you want to get bins of equal width for every dataset then you have at least two options.
Normalize datasets - max and min values should be the same for both datasets.
Define bins as a sequence (for example,
list(range(0, 40000 + 1, 5000))) as described here.
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
add a comment |
Your code contains pyplot.hist(..., bins, ...) where bins = 15. This means 15 bins equally spaced between max and min values. Max and min values are different for two datasets so you get different sets of 15 bins. If you want to get bins of equal width for every dataset then you have at least two options.
Normalize datasets - max and min values should be the same for both datasets.
Define bins as a sequence (for example,
list(range(0, 40000 + 1, 5000))) as described here.
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
add a comment |
Your code contains pyplot.hist(..., bins, ...) where bins = 15. This means 15 bins equally spaced between max and min values. Max and min values are different for two datasets so you get different sets of 15 bins. If you want to get bins of equal width for every dataset then you have at least two options.
Normalize datasets - max and min values should be the same for both datasets.
Define bins as a sequence (for example,
list(range(0, 40000 + 1, 5000))) as described here.
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
Your code contains pyplot.hist(..., bins, ...) where bins = 15. This means 15 bins equally spaced between max and min values. Max and min values are different for two datasets so you get different sets of 15 bins. If you want to get bins of equal width for every dataset then you have at least two options.
Normalize datasets - max and min values should be the same for both datasets.
Define bins as a sequence (for example,
list(range(0, 40000 + 1, 5000))) as described here.
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
edited Nov 13 '18 at 9:43
Mohamed Thasin ah
3,71631540
3,71631540
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
answered Nov 13 '18 at 9:42
PoolkaPoolka
1,5211211
1,5211211
add a comment |
add a comment |
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