I need a python scripts to load the multiple excel sheet data into hive table using python. Any one helping on this.
You can read excels using pandas and insert the dataframe using pyhive or any other Hive library.
Inserting a Python Dataframe into Hive from an external server
Yes, it is very easy!!
You should have pandas library installed or install it using pip if you don't have by typing this in the command prompt - py -m pip install pandas
Then, use the following code -
import pandas as pd
df = pd.read_excel('', '')
print(df)
You will see that the table is available in excel.
Related
We are trying to export data from Teradata using Python but when we used {fn teradata_sessions(4)}{fn teradata_require_fastexport}select * from table1; it's not triggereing fast export in Teradata and its going as normal select.How to use fast export from teradata using python and here i can't increase more than 4 session too.Could anyone have used fastexport in python for exporting data from Teradata and then copying into dataframe ...then converting to CSV file or any exporting into CSV file from python from Teradata also welcome.
I'm using Azure Databricks and trying to read an excel file. I have an encrypted file with .xlsx.pgp. After decrypting the message I get it as a byte array. So, here's the function I use to read this file as a pandas dataframe:
df = pd.read_excel(BytesIO(orig))
However, this is giving me the following error:
XLRDError: Excel xlsx file; not supported
Now, based on this documentation:
I have added openpyxl to the cluster and then tried to run the following:
df = pd.read_excel(BytesIO(orig),engine=`openpyxl`)
I'm getting the error:
global name 'openpyxl' is not defined
With the following command, I get:
df = pd.read_excel(BytesIO(orig),engine='openpyxl')
The error I get is:
ValueError: Unknown engine: openpyxl
How can I resolve this issue?
Thanks for all the help!
Errors suggests that, openpyxl library is not properly installed. Also maybe notebook is not in scope of openpyxl library.
Please install openpyxl in Cluster which is attached to notebook as shown below:
Step1: Select Cluster and click on libraries.
Step2: Click on Install New.
Next click on PyPI.
Now enter name of library that is openpyxl
Then click on Install.
Step3: Check status of openpyxl library is installed.
Step4: Successfully installed openpyxl library.
Edit -
Note - pandas version should be 1.0.1 or above.
If pandas version is below 1.0.1, you can upgrade pandas library using pip install pandas
Check pandas version using pd.__version__ command.
For more information you can refer this answer from rama-a
I've recently been trying to create an interactive plotting platform using a pandas dataframe in Google Colab. The idea is to either create my own or use an existing platform such as qgrid or Colab's Data Table. The problem with qgrid is that it does not render in Google Colab due to a package dependency error with ipywidgets. The problem with Colab's Data Table is that I cannot figure out how to restore the sorted table as a pandas DataFrame.
Alternatively I could create my own querying system, but I would much prefer to use one of these or a different platform. Thanks in advance!
Solution for Interactive Data Table
pip install pandas-datareader
from pandas_datareader import wb
pip install itables
from itables import init_notebook_mode
init_notebook_mode(all_interactive=True)
df = wb.get_countries()
df
sorted = df.sort_values(by=['name'], ascending=True)
sorted
Is there any way in python to read excel file like we have data provider in the testng
i am having a test method (using python unit test framework) and from this test i am calling another method which is actually reading the excel sheet , I just want something like data provider so that with every data it should be treated as a new test case
You could use pandas to read the excel files or csv files.
import pandas as pd
excel_data = pd.read_excel('test_file.xlsx')
csv_data = pd.read_csv('test_file.csv')
And the result is DataFrame structure.
Use Pandas to read excel files in Python. From your question I assume you don't know about pandas.
If you have added python to path during installation of IDE. Use pip for installation in the terminal
py -m pip install pandas
The python code is
import pandas as pd
df=pd.read_excel('Data.xlsx')
print(df.head()) # This will print the first 5 rows.
if you want to use jupyter notebook in the terminal
py -m pip install notebook
This will work best. But you need to have pandas installed through pip. For adavanced functions or atleast update question to what you want.What is it that dataprovider does, so as to repeat it in python Specify the fuction
Go through pandas documentation : https://pandas.pydata.org/docs/
I am a super new user of Python and have been having trouble loading an Excel file to play around with in Python.
I am using Python 3.7 on Windows 10 and have tried things like using the import statement or using pip and pip3 and then install statements. I am so confused on how to do this and no links I've read online are helping.
pip install pandas
pip3 install pandas
import pandas
I just want to upload an Excel file into Python. I'm embarrassed that it's causing me this much stress.
first of all you have to import pandas (assuming that is installed, in anaconda usually is already installed as far as i know)
import pandas as pd
to read more sheets in different dataframes (tables)
xls = pd.ExcelFile(path of your file)
df_schema = pd.read_excel(xls, sheet_name=xls.sheet_names)
df_schema is a dictionary of df in which the key is the name of the sheet and the value is the dataframe.
to read a single sheet the following should work:
xls = pd.ExcelFile(path of your file)
df = pd.read_excel(xls)