Comments (9)
Thanks for pointing this out.
DoWhy depends on Pygraphviz for visualization and unfortunately there seems to be a problem in Pygraphviz for Python 3.7. I'm considering moving away from this dependency, allow me a few days to fix this.
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This issue applies also to Python 3.6.6 (on a Windows 10, 64 env). It appears to be a Pygraphviz installation issue.
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I removed the dependency on pygraphviz, making it optional. If pygraphviz is not installed, the library falls back to matplotlib and plots causal graph using it. @vnnw @cpoptic can you check if it works for you?
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just did a git pull
and pip install -U dowhy
and I'm still getting the same result on Python 3.6
import dowhy
works with no problems. But when I run from dowhy.do_why import Causal Model
it get an error:
ModuleNotFoundError: No module named 'pygraphviz'
So it appears the dowhy package imports fine, but the do_why module is still dependent on pygraphviz.
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Thanks @cpoptic Not sure why it still shows an error. I did check with python 3.6 in a virtualenv and it worked.
Maybe an earlier install of dowhy is still being called? To make sure, can you try the following code which relies on the source distribution only (and does not use pip)?
[Run this code from the root directory of dowhy]
`import os, sys
sys.path.append(os.path.abspath("./"))
import numpy as np
import pandas as pd
import dowhy
from dowhy.do_why import CausalModel`
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Any formal update? Is 3.7 fully supported now?
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@impredicative Yes, it should work in 3.7. Let me know if you face any problems.
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@amit-sharma two weeks with no problem reported -- safe to close?
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yes, closing it now. @impredicative if you face any problems with 3.7, let us know.
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Related Issues (20)
- Clear documentation on identification methods HOT 2
- Backdoor path HOT 4
- Linear dataset functionality and parameters HOT 1
- Simple constraints for the SCM HOT 1
- How can I get more log messages from dowhy? HOT 4
- Identify effect not showing backdoor variable HOT 5
- numpy has no attribute 'long' HOT 1
- No common causes/confounders present. HOT 3
- Сausal effect for non-linear relationship HOT 1
- Compatability with networkx is broken HOT 8
- Continuous Treatment Variable HOT 1
- CausalEstimator reporting a 90% instead of 95% confidence interval for bootstrapping? HOT 5
- Hanging when refuting right after calculating confidence interval HOT 2
- Incomplete `method_name` argument documentation in `estimate_effect` HOT 4
- Add accessor to CausalModel._estimator_cache HOT 4
- Evaluation Metrics for Causal Graphs HOT 4
- Inconsistent encoding with pandas get_dummies causes prediction and effect estimation errors HOT 6
- Falsification of given DAG: not working on simulated data? HOT 4
- Causal Graph not provided. DoWhy will construct a graph based on data inputs. HOT 1
- how to use the function of estimate_effect of CausalModel class? HOT 4
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