How to change the ticks on x-axis?
I want change the x-axis ticks. I want: 0 10 20 30 40 50 ...
with pydicom.dcmread(directory) as dataset:
all_population_ages.append(dataset.PatientAge)
plt.hist(all_population_ages, histtype='bar', rwidth=0.8)
plt.xticks(np.arange(0, 100, step=10))
plt.show()
Output:
I tried this solution:
Changing the "tick frequency" on x or y axis in matplotlib?
plt.xticks(np.arange(min(x), max(x)+1, 1.0))
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
But receive an error:
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
TypeError: must be str, not int
Thanks in advance for any assistance.
python plot axis
add a comment |
I want change the x-axis ticks. I want: 0 10 20 30 40 50 ...
with pydicom.dcmread(directory) as dataset:
all_population_ages.append(dataset.PatientAge)
plt.hist(all_population_ages, histtype='bar', rwidth=0.8)
plt.xticks(np.arange(0, 100, step=10))
plt.show()
Output:
I tried this solution:
Changing the "tick frequency" on x or y axis in matplotlib?
plt.xticks(np.arange(min(x), max(x)+1, 1.0))
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
But receive an error:
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
TypeError: must be str, not int
Thanks in advance for any assistance.
python plot axis
1
the stack trace is telling you to convert the items from int to string, i.e.['{:d}'.format(x) for x in np.arange(0,10,1)]
.
– teng
Nov 24 '18 at 1:24
add a comment |
I want change the x-axis ticks. I want: 0 10 20 30 40 50 ...
with pydicom.dcmread(directory) as dataset:
all_population_ages.append(dataset.PatientAge)
plt.hist(all_population_ages, histtype='bar', rwidth=0.8)
plt.xticks(np.arange(0, 100, step=10))
plt.show()
Output:
I tried this solution:
Changing the "tick frequency" on x or y axis in matplotlib?
plt.xticks(np.arange(min(x), max(x)+1, 1.0))
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
But receive an error:
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
TypeError: must be str, not int
Thanks in advance for any assistance.
python plot axis
I want change the x-axis ticks. I want: 0 10 20 30 40 50 ...
with pydicom.dcmread(directory) as dataset:
all_population_ages.append(dataset.PatientAge)
plt.hist(all_population_ages, histtype='bar', rwidth=0.8)
plt.xticks(np.arange(0, 100, step=10))
plt.show()
Output:
I tried this solution:
Changing the "tick frequency" on x or y axis in matplotlib?
plt.xticks(np.arange(min(x), max(x)+1, 1.0))
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
But receive an error:
plt.xticks(np.arange(min(all_population_ages), max(all_population_ages) + 1, 10.0))
TypeError: must be str, not int
Thanks in advance for any assistance.
python plot axis
python plot axis
edited Nov 24 '18 at 0:16
Lee Mac
4,48431541
4,48431541
asked Nov 23 '18 at 23:56
Wojtek SzczęsnyWojtek Szczęsny
54
54
1
the stack trace is telling you to convert the items from int to string, i.e.['{:d}'.format(x) for x in np.arange(0,10,1)]
.
– teng
Nov 24 '18 at 1:24
add a comment |
1
the stack trace is telling you to convert the items from int to string, i.e.['{:d}'.format(x) for x in np.arange(0,10,1)]
.
– teng
Nov 24 '18 at 1:24
1
1
the stack trace is telling you to convert the items from int to string, i.e.
['{:d}'.format(x) for x in np.arange(0,10,1)]
.– teng
Nov 24 '18 at 1:24
the stack trace is telling you to convert the items from int to string, i.e.
['{:d}'.format(x) for x in np.arange(0,10,1)]
.– teng
Nov 24 '18 at 1:24
add a comment |
1 Answer
1
active
oldest
votes
Done.
results = list(map(int, all_population_ages))
bins = np.arange(0, 100, 5) # fixed bin size
plt.rcParams.update({'font.size': 8})
plt.hist(results, bins=bins, alpha=0.5, rwidth=0.8)
plt.xticks(np.arange(0, 100, 5))
I changed list of string to list of int.
I changed font size.
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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active
oldest
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active
oldest
votes
Done.
results = list(map(int, all_population_ages))
bins = np.arange(0, 100, 5) # fixed bin size
plt.rcParams.update({'font.size': 8})
plt.hist(results, bins=bins, alpha=0.5, rwidth=0.8)
plt.xticks(np.arange(0, 100, 5))
I changed list of string to list of int.
I changed font size.
add a comment |
Done.
results = list(map(int, all_population_ages))
bins = np.arange(0, 100, 5) # fixed bin size
plt.rcParams.update({'font.size': 8})
plt.hist(results, bins=bins, alpha=0.5, rwidth=0.8)
plt.xticks(np.arange(0, 100, 5))
I changed list of string to list of int.
I changed font size.
add a comment |
Done.
results = list(map(int, all_population_ages))
bins = np.arange(0, 100, 5) # fixed bin size
plt.rcParams.update({'font.size': 8})
plt.hist(results, bins=bins, alpha=0.5, rwidth=0.8)
plt.xticks(np.arange(0, 100, 5))
I changed list of string to list of int.
I changed font size.
Done.
results = list(map(int, all_population_ages))
bins = np.arange(0, 100, 5) # fixed bin size
plt.rcParams.update({'font.size': 8})
plt.hist(results, bins=bins, alpha=0.5, rwidth=0.8)
plt.xticks(np.arange(0, 100, 5))
I changed list of string to list of int.
I changed font size.
answered Nov 24 '18 at 12:43
Wojtek SzczęsnyWojtek Szczęsny
54
54
add a comment |
add a comment |
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1
the stack trace is telling you to convert the items from int to string, i.e.
['{:d}'.format(x) for x in np.arange(0,10,1)]
.– teng
Nov 24 '18 at 1:24