I'm simply trying to import libraries, e.g.:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
and getting this "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb8 in position 3200: invalid start byte" error.
I'm new to Jupyter Notebooks and wondering if I didn't set something up correctly. I'm attaching the full error message I'm getting.
Any advice would be GREATLY appreciated.
Error Message Here
Related
I'm using a jupyter notebook.
I followed the code below and entered it.
pip install git+https://github.com/tensorflow/examples.git
import tensorflow as tf
import tensorflow_datasets as tfds
from tensorflow_examples.models.pix2pix import pix2pix
from IPython.display import clear_output
import matplotlib.pyplot as plt
And I tried to "Download the Oxford-IIIT Pets dataset"
dataset, info = tfds.load('oxford_iiit_pet:3.*.*', with_info=True)
However, in the console, printed this
Downloading and preparing dataset Unknown size (download: Unknown size, generated: Unknown size, total: Unknown size) to ~\tensorflow_datasets\mnist\3.0.1...
and there was no data in the folder created.
Why isn't it working?
Tutorial link:https://www.tensorflow.org/tutorials/images/segmentation
I am into a situation where I am able to successfully run the below snippet in azure Databricks from a separate CMD.
%run ./HSCModule
But running into issues when including that piece of code with other scala code which is importing below packages and getting following error.
import java.io.{File, FileInputStream}
import java.text.SimpleDateFormat
import java.util{Calendar, Properties}
import org.apache.spark.SparkException
import org.apache.spark.sql.SparkSession
import scala.collection.JavaConverters._
import scala.util._
ERROR = :168: error: ';' expected but '.' found. %run
./HSCModule
FYI - I have also used dbutils.notebook.run and still facing same issues.
You can't mix the magic commands, like, %run, %pip, etc. with the Scala/Python code in the same cell. Documentation says:
%run must be in a cell by itself, because it runs the entire notebook inline.
So you need to put this magic command into a separate cell.
I'm really not sure it's PIL's problem or not. But guessing from it works on local and below error massages, I thought heroku or PIL make trouble.
2020-07-04T10:48:48.751781+00:00 app[web.1]: pytesseract.pytesseract.TesseractError: (127, 'tesseract: error while loading shared libraries: libpng12.so.0: cannot open shared object file: No such file or directory')
and this is my code
import pytesseract
import io
import requests
from PIL import Image
response = requests.get("https://upload.wikimedia.org/wikipedia/commons/thumb/6/6a/Tesseract_v3.02.png/500px-Tesseract_v3.02.png")
image_bytes = io.BytesIO(response.content)
img = Image.open(image_bytes)
pytesseract.pytesseract.tesseract_cmd = 'tesseract'
t = pytesseract.image_to_string(img)
print(t)
I am building a food ordering chatbot but while running the online_train.py I encountered the error and due to that I m not able to train my model.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from rasa_core import utils, train, run
from rasa_core.training import interactive
logger = logging.getLogger(__name__)
def train_agent():
return train.train_dialogue_model(domain_file="./domain.yml",stories_file="./data/dialogue/stories.md", output_path="./models/dialogue/",policy_config="./policies.yml")
I expected the output to be chatbot interacting with the epochs running but I got this error 'function' object has no attribute 'agent'
I have a Talend job to create a .csv file and now I want to convert .parquet format using Talend v6.5.1. Only option I can think, tSystem component to call the python script from local or directory where .csv landing temporarily. I know I can convert this easily using pandas or pyspark but I am not sure the same code will be work for tSystem in Talend. Can you please provide the suggestions or instructions-
Code:
import pandas as pd
DF = pd.read_csv("Path")
DF1 = to_parquet(DF)
If you have an external script on your file system, you can try
"python \"myscript.py\" "
Here is a link on talend forum regarding this problem :
https://community.talend.com/t5/Design-and-Development/how-to-execute-a-python-script-file-with-an-argument-using/m-p/23975#M3722
I am able to resolve the problem following below steps-
import pandas as pd
import pyarrow as pa
import numpy as np
import sys
filename = sys.argv[1]
test = pd.read_csv(r"C:\\Users\\your desktop\\Downloads\\TestXML\\"+ filename+".csv")
test.to_parquet(r"C:\\Users\\your desktop\\Downloads\\TestXML\\"+ filename+".parque
t")