I keep receiving this error AttributeError: 'ClientOptions' object has no attribute 'api_audience' once I call the to_dataframe() on the query result from BigQuery. This worked fine before using the same virtual env and not sure what's happening now.
query.result() didn't raise errors but query.to_dataframe() raised the error.
These are the packages I have:
google-cloud==0.34.0
google-cloud-bigquery==2.34.3
google-cloud-bigquery-storage==2.16.2
google-cloud-core==2.3.2
google-cloud-storage==2.7.0
I was able to replicate your error and this is when I downgraded my google-api-core package to 2.7.3.
This can be resolved by upgrading your google-api-core to 2.8.0 and up. But the BEST PRACTICE is to always keep your packages to the latest version. You may upgrade your package to latest version by running below command.
pip install google-api-core --upgrade
the error may be related to version incompatibility between the google-cloud-core package and other Google Cloud packages.
there are two ways to solve that error
pip install --upgrade google-cloud-core
and the other one is a
pip install google-cloud-bigquery==2.29.0
Alpaca backtrader plot issue: I ran into this import issue and found this article, so I applied the code, but same issue not resolved. any one can help please?
My installed matplotlib version is 3.3.1
backtrader 1.9.76.123
python 3.8.5
the entire code posted below:
from matplotlib.dates
import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,MONTHS_PER_YEAR,
DAYS_PER_WEEK,SEC_PER_HOUR, SEC_PER_DAY,num2date, rrulewrapper,
YearLocator,MicrosecondLocator)
import alpaca_backtrader_api
import backtrader as bt
from datetime import datetime
#import matplotlib
ALPACA_API_KEY = "XXXXX"
ALPACA_SECRET_KEY = "XXXX"
ALPACA_PAPER = True
class SmaCross(bt.SignalStrategy):
def init(self):
sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
crossover = bt.ind.CrossOver(sma1, sma2)
self.signal_add(bt.SIGNAL_LONG, crossover)
cerebro = bt.Cerebro()
cerebro.addstrategy(SmaCross)
store = alpaca_backtrader_api.AlpacaStore( key_id=ALPACA_API_KEY,secret_key=ALPACA_SECRET_KEY,paper=ALPACA_PAPER)
if not ALPACA_PAPER:
broker = store.getbroker() # or just alpaca_backtrader_api.AlpacaBroker()
cerebro.setbroker(broker)
DataFactory = store.getdata # or use alpaca_backtrader_api.AlpacaData
data0 = DataFactory(dataname='AAPL', historical=True, fromdate=datetime(2015, 1, 1), timeframe=bt.TimeFrame.Days)
cerebro.adddata(data0)
print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.run()
print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.plot()
Downgrade to matplotlib 3.2.2 until the bug in backtrader is fixed.
Here is the fix pull request: https://github.com/mementum/backtrader/pull/418.
pip uninstall matplotlib # or conda
pip install matplotlib==3.2.2
I suffered the same problem like you did, your link provided has the perfect solution. just get rid of warnings from locator.py
https://community.backtrader.com/topic/981/importerror-cannot-import-name-min_per_hour-when-trying-to-plot/8
I couldn't install matplotlib==3.2.2 nor the patch without uninstalling backtrader first.
So, this worked for me in the end:
Uninstall backtrader:
pip uninstall backtrader
Install the patch provided in the above solution:
pip install git+https://github.com/mementum/backtrader.git#0fa63ef4a35dc53cc7320813f8b15480c8f85517#egg=backtrader
If necessary, install matplotlib again:
pip install matplotlib
As pointed out above, the issue is addressed in this pull request and the patch is the latest commit to master, but there hasn't been a release since 2019-05.
You can install the patched version like so:
pip install git+https://github.com/mementum/backtrader.git#0fa63ef4a35dc53cc7320813f8b15480c8f85517#egg=backtrader
You could alternatively specify the required commit in requirements.txt like so:
-e git+https://github.com/mementum/backtrader.git#0fa63ef4a35dc53cc7320813f8b15480c8f85517#egg=backtrader
…then pip install -r requirements.txt
After installing with either method, you can confirm the versions installed with pip freeze:
...
backtrader==1.9.76.123
...
How to install from git
Mac Big Sur
for me it only worked if:
Downgrade python3.9 to python 3.8
then I downgraded matplotlib==3.2.2
For both python 3.8.x and 3.9.x, I solved the problem by using specific version of matplotlib==3.2.2
pip install matplotlib==3.2.2
By default, I used matplotlib==3.4.x version and the problem occured.
All of the above answers are fine. The problem is not with Matplotlib though. The Backtrader library hasn't kept up with the Matplotlib updates. You can do the off-label Backtrader update suggested by Joel Brigate above...or you can make a simple mod to locator.py file (backtrader.plot):
Just change:
from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR,
SEC_PER_MIN, MONTHS_PER_YEAR, DAYS_PER_WEEK, SEC_PER_HOUR,
SEC_PER_DAY, num2date, rrulewrapper, YearLocator,
MicrosecondLocator, warnings)
to:
from matplotlib import warnings
from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
MONTHS_PER_YEAR, DAYS_PER_WEEK, SEC_PER_HOUR,
SEC_PER_DAY, num2date, rrulewrapper,
YearLocator, MicrosecondLocator)
You'll note that the warnings import now comes directly out of matplotlib rather than matplotlib.dates. This is the offending issue within locator.py.
Here is my solution:
python -m pip uninstall matplotlib
python -m pip uninstall backtrader
python -m pip install backtrader
python -m pip install matplotlib==3.2.2
Enjoy!
I could not install matplotlib==3.2.2 with python 3.9 .
Here is how did I fix this issue:
$ pip uninstall backtrader
$ pip install git+https://github.com/mementum/backtrader.git#0fa63ef4a35dc53cc7320813f8b15480c8f85517#egg=backtrader
Reference:
Github: Fix ImportError from matplotlib.dates
#418
Mac Big Sur. I did the same: python 3.8.5, uninstall matplotlib, install matplotlib==3.2.2
I'm new at this so I first tried the easy way, through anaconda.org, but could not find version 3.2.2. Then tried it from the Jupyter notebook with conda install... didn't work. I finally did it straight through terminal, which worked fine.
#laffuste solution of downgrading to version 3.2.2 of matplotlib solved the issue for me. PR to fix the issue is still open, you can also follow this forum for more info on the problem:
I have a venv with the following details:
python 3.6
TensorFlow 2.0.0
I tried to install tensorflow-addons using the following:
pip install -q --no-deps tensorflow-addons~=0.6
But then I keep receiving the following error:
Could not find a version that satisfies the requirement tensorflow-addons~=0.6 (from versions: )
No matching distribution found for tensorflow-addons~=0.6
You are using pip version 18.0, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
I also tried other versions of tensorflow-addons, e. g., 0.4.0, 0.5.0, ..., but it did not work out.
I came across this problem two times and each time I had to solve the problem with a different solution.
1. Solution:
Upgrade pip/pip3 by using the following command.
python3 -m pip install --upgrade pip
Select appropriate version of the tensorflow-addons using the
following link
https://github.com/tensorflow/addons#python-op-compatibility-matrix
Install using the following command
pip install tensorflow-addons==version
2. Solution:
go to https://pypi.org/project/tensorflow-addons/#history
click on appropriate version
click on "Download files" on menu to the left
click on a .whl file that matches your system
requirements/specifications
go to the directory where you download the .whl file and run the
following
pip install tensorflow_addons-name.whl
The problem appears to have been related to installing on Windows platforms in the earlier versions of tensorflow-addons. As of time of updating this comment this issue should disappear completely.
In fact the developers state it has been solved, as it is shown here:
FYI stable release for windows is out. pip install tensorflow-addons
https://github.com/tensorflow/addons/issues/173#issuecomment-573106184
At your command prompt, simply specify the version you want to install.
For me, my python version is 3.7.4 and Tensorflow version is 2.2.0
Therefore, the tensorflow-addons version that matches my python and tensorflow version is 0.10.0
pip install tensorflow-addons==0.10.0
I'm trying to follow this guide to test this new algorithm: https://github.com/lalonderodney/SegCaps
I can't do it in my PC, so i'm using another server with Putty. Now I'm connected with the other server.
First of all I installed TensorFlow as indicates in the guide with :
pip install -r requirements.txt
After I wrote this code: ./main.py segcaps.png
in which segcaps.png is the image that i want to use
Finally I wrote python main.py --data_root_dir data
that is the only required parameter with the directory containing imgs and masks folders.
Now it gives me an error:
ModuleNotFoundError: No module named 'tensorflow.python.framework'
I searched it in the directory tensorflow/python/framework and it exists.
So, i don't know how to solve it. Ideas?
If you have multiple Python versions installed, then you'll (most likely) have multiple pip versions installed too. Make sure that the pip command you use installs the package(s) into the Python version you want it to. It may so happen that the package got installed into python2 but you wanted it in python3.
Since using pip did not install the packages in python3, pip3 is most likely to the PyPI for python3. Try
pip3 install -r requirements.txt
and that should work.
In case you have an EnvironmentError you can try this (bad idea):
pip3 install -r requirements.txt --user
This solves the problem most of the times on standalone machines. I'm not sure about the server; insufficient permissions might block this.
Why is the --user flag a bad idea? Read: What is the purpose “pip install --user …”?
You can use pip show tensorflow to see if it is installed or not.
As for ModuleNotFoundError try uninstalling keras and reinstalling an earlier version by pip install keras==2.1.6
I'm seeing the following error when installing TensorFlow:
ImportError: Traceback (most recent call last):
File ".../graph_pb2.py", line 6, in
from google.protobuf import descriptor as _descriptor
ImportError: cannot import name 'descriptor'
This error signals a mismatch between protobuf and TensorFlow versions.
Take the following steps to fix this error:
Uninstall TensorFlow.
Uninstall protobuf (if protobuf is installed).
Reinstall TensorFlow, which will also install the correct protobuf dependency.
I faced the similar issue, after trial and error, I used the below logic to run the program:
pip install --upgrade --no-deps --force-reinstall tensorflow
This will make sure to uninstall and reinstall the program from fresh. It works!
I would be extra careful before uninstalling/reinstalling other packages such as protobuf. What I think would most likely be the issue is difference in versions. As of writing this, the most recent release of python is 3.7 while tensorflow is only compatible up to 3.6.
If you're using a 3rd party distribution like Anaconda, this can get hidden from you. In this case I would recommend creating a new environment in Anaconda, with python 3.6 and then installing tensorflow: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html#managing-python
Try this:
pip uninstall protobuf
brew install protobuf
mkdir -p
/Users/alexeibendebury/Library/Python/2.7/lib/python/site-packages
echo 'import site;
site.addsitedir("/usr/local/lib/python2.7/site-packages")' >>
/Users/alexeibendebury/Library/Python/2.7/lib/python/site-packages/homebrew.pth