Using a decorator to save matplotlib graphs; saved output is blank
I'm trying to create a decorator function @save_fig to wrap around a matplotlib function (plot_this()) in order to automatically save the output.
I can get the decorator to execute correctly and show/display the graph. However, when the plt.savefig() is evaluated a blank graph is saved to my directory.
I'm wondering what I'm missing with the logic in my decorator code? The output should be completely reproducible from my code below.
Thank you
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
ax = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
elif 'show' in param.keys():
print('show')
plt.show()
else:
return ax
return inner
return outer
@save_fig(**{'filename': 'foo.png'})
def plot_this():
plt.scatter(df['foo'], df['bar'])
plt.show()
if __name__ == "__main__":
plot_this()
python pandas matplotlib python-decorators
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
add a comment |
I'm trying to create a decorator function @save_fig to wrap around a matplotlib function (plot_this()) in order to automatically save the output.
I can get the decorator to execute correctly and show/display the graph. However, when the plt.savefig() is evaluated a blank graph is saved to my directory.
I'm wondering what I'm missing with the logic in my decorator code? The output should be completely reproducible from my code below.
Thank you
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
ax = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
elif 'show' in param.keys():
print('show')
plt.show()
else:
return ax
return inner
return outer
@save_fig(**{'filename': 'foo.png'})
def plot_this():
plt.scatter(df['foo'], df['bar'])
plt.show()
if __name__ == "__main__":
plot_this()
python pandas matplotlib python-decorators
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
add a comment |
I'm trying to create a decorator function @save_fig to wrap around a matplotlib function (plot_this()) in order to automatically save the output.
I can get the decorator to execute correctly and show/display the graph. However, when the plt.savefig() is evaluated a blank graph is saved to my directory.
I'm wondering what I'm missing with the logic in my decorator code? The output should be completely reproducible from my code below.
Thank you
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
ax = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
elif 'show' in param.keys():
print('show')
plt.show()
else:
return ax
return inner
return outer
@save_fig(**{'filename': 'foo.png'})
def plot_this():
plt.scatter(df['foo'], df['bar'])
plt.show()
if __name__ == "__main__":
plot_this()
python pandas matplotlib python-decorators
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
I'm trying to create a decorator function @save_fig to wrap around a matplotlib function (plot_this()) in order to automatically save the output.
I can get the decorator to execute correctly and show/display the graph. However, when the plt.savefig() is evaluated a blank graph is saved to my directory.
I'm wondering what I'm missing with the logic in my decorator code? The output should be completely reproducible from my code below.
Thank you
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
ax = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
elif 'show' in param.keys():
print('show')
plt.show()
else:
return ax
return inner
return outer
@save_fig(**{'filename': 'foo.png'})
def plot_this():
plt.scatter(df['foo'], df['bar'])
plt.show()
if __name__ == "__main__":
plot_this()
python pandas matplotlib python-decorators
python pandas matplotlib python-decorators
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
asked Nov 23 '18 at 16:02
Chef1075Chef1075
1,11131829
1,11131829
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
You call show before saving the figure. The figure that is saved is hence a new empty figure. Since you handle show inside the decorator anyways, you can just leave it out.
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
artist = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
if 'show' in param.keys() and param["show"]:
print('show')
plt.show()
else:
return artist
return inner
return outer
@save_fig(**{'filename': 'foo.png', 'show' : True})
def plot_this():
return plt.scatter(df['foo'], df['bar'])
if __name__ == "__main__":
plot_this()
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You call show before saving the figure. The figure that is saved is hence a new empty figure. Since you handle show inside the decorator anyways, you can just leave it out.
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
artist = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
if 'show' in param.keys() and param["show"]:
print('show')
plt.show()
else:
return artist
return inner
return outer
@save_fig(**{'filename': 'foo.png', 'show' : True})
def plot_this():
return plt.scatter(df['foo'], df['bar'])
if __name__ == "__main__":
plot_this()
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
add a comment |
You call show before saving the figure. The figure that is saved is hence a new empty figure. Since you handle show inside the decorator anyways, you can just leave it out.
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
artist = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
if 'show' in param.keys() and param["show"]:
print('show')
plt.show()
else:
return artist
return inner
return outer
@save_fig(**{'filename': 'foo.png', 'show' : True})
def plot_this():
return plt.scatter(df['foo'], df['bar'])
if __name__ == "__main__":
plot_this()
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
add a comment |
You call show before saving the figure. The figure that is saved is hence a new empty figure. Since you handle show inside the decorator anyways, you can just leave it out.
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
artist = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
if 'show' in param.keys() and param["show"]:
print('show')
plt.show()
else:
return artist
return inner
return outer
@save_fig(**{'filename': 'foo.png', 'show' : True})
def plot_this():
return plt.scatter(df['foo'], df['bar'])
if __name__ == "__main__":
plot_this()
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
You call show before saving the figure. The figure that is saved is hence a new empty figure. Since you handle show inside the decorator anyways, you can just leave it out.
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(data={'foo':list(range(5)), 'bar':list(range(5, 10, 1))})
def save_fig(**param):
def outer(func):
def inner(*args, **kwargs):
artist = func(*args)
if 'filename' in param.keys():
print('filename')
plt.savefig(param['filename'])
if 'show' in param.keys() and param["show"]:
print('show')
plt.show()
else:
return artist
return inner
return outer
@save_fig(**{'filename': 'foo.png', 'show' : True})
def plot_this():
return plt.scatter(df['foo'], df['bar'])
if __name__ == "__main__":
plot_this()
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
answered Nov 23 '18 at 18:02
ImportanceOfBeingErnestImportanceOfBeingErnest
128k12131208
128k12131208
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
add a comment |
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
Ah I see what I did wrong here. Thanks!
– Chef1075
Nov 23 '18 at 18:40
add a comment |
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