I am using the following libraries:
import pandas as pd
import numpy as np
import googlemaps
from geopy.geocoders import Nominatim
import sys
from dateutil import parser
from geo import *
import re
I already installed in the prompt:
pip install GoogleMaps
pip install geopy
pip install geopandas
conda install -c conda-forge geopandas
However, I am still having the following error:
> ModuleNotFoundError Traceback (most recent call
> last) <ipython-input-1-456abdb5bc33> in <module>
> 5 import sys
> 6 from dateutil import parser
> ----> 7 from geo import *
> 8 import re
ModuleNotFoundError: No module named 'geo'
I really appreciate any help to solve this error
Have you tried
pip install geo-py
?
https://pypi.org/project/geo-py/
Related
I use a MacBook pro-2015, and I use the monetary.
I was able to pip install tensorflow to a new conda environment, but after it, pandas and matplotlib was no longer found.
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import pandas as pd
Below is the traceback of error:
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 2
1 import numpy as np
----> 2 import matplotlib.pyplot as plt
3 import tensorflow as tf
4 import pandas as pd
ModuleNotFoundError: No module named 'matplotlib'
I have been able to solve this problem
I created a conda environment "myenv" where I installed tensorflow
Then I activated the conda environment in my terminal using
conda activate myenv
Then I installed the packages/libraries that I need
conda install pandas
conda install matplotlib
Just use this method to install any package into any environment you are working on
Whenever i am trying to import pandas as pd
it showing
ImportError: cannot import name 'Categorical' from 'pandas.core.arrays' (unknown location)
pip install pandas
import pandas as pd # pandas version 1.3.5
it work on python version 3.7.14
Google Colab seems throwing the below error while trying to import Tensorflow, while it was working okey couple of weeks ago
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
/usr/local/lib/python3.6/dist-packages/keras/__init__.py in <module>()
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow`
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
NOTE : am running on TPU and alreadt tried !pip install tensorflow but reuirements are satisfaied
This should suffice i feel
%tensorflow_version 2.x
import tensorflow as tf
This has always worked for me in Google Colab. I think the issue is that you are giving %tensorflow_version as 1.x please try changing that to 2.x
I had to re-order my imports like below and used keras version 2.3.0
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
!pip install keras-bert
!pip install keras-rectified-adam
!pip install keras==2.3.0
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
I would like to add model analysis to my model but was unable to import the libraries:
I am using datalab environment.
import tensorflow as tf
!pip install tensorflow_model_analysis
import tensorflow_model_analysis as tfma
The error is:
ImportErrorTraceback (most recent call last)
<ipython-input-6-f85e4d8fbd99> in <module>()
----> 1 import tensorflow_model_analysis as tfma
/usr/local/envs/py2env/lib/python2.7/site-packages/tensorflow_model_analysis/__init__.py in <module>()
15
16
---> 17 from tensorflow_model_analysis import view
18 from tensorflow_model_analysis.api import tfma_unit as test
19 from tensorflow_model_analysis.api.model_eval_lib import * # pylint: disable=wildcard-import
ImportError: cannot import name view
Please advice what will be the right way to import the library.
Thanks,
eilalan
Working for me now with the following installation:
python 2.7 - to support apache beam
pip install pip==9.0.3 # I am not sure what is the reason, but essential for apache beam pipelines execution
pip install --upgrade tensorflow
pip install tensorflow-model-analysis
import tensorflow_model_analysis as tfma
I'm running the official TF docker repo using the Jupyter UI on localhost. It seems that TF is working in general, as I am able to import it, but when trying to import the distributions module I get an error:
print tf.__version__
import tf.distributions as dist
1.8.0
ImportErrorTraceback (most recent call last)
<ipython-input-3-4d440943cb46> in <module>()
1 print tf.__version__
----> 2 import tf.distributions as dist
ImportError: No module named tf.distributions
Try this
import tensorflow as tf
from tensorflow import distributions as dist
I don't think you can use import aliases for other import statements in python. I'm not too sure about this, but I think that's the problem.
FYI, I tested this on Python 3.5.2 and Tensorflow 1.8.0