I need to write a unit test case for the below code :
def read_data(self, data):
"""Read data from excel file.
:param data:str, data in file
:return:str, data after reading excel file
"""
try:
read_data = pd.read_excel(data)
return read_data
except Exception as e:
logger.info("Not able to read data. Error :- {}".format(e))
raise e
I am reading an excel file in the above code, which gives me data like this:
refer screenshot.
So, How to store the above data after reading from excel sheet as dummy data so that I can assert it to my original data?
Thanks
Necroposting this because I had the same need.
this answer can point you in the right direction:
See also Saving the Dataframe output to a string in the XlsxWriter docs.
From the example you can build something like this:
import pandas as pd
import io
# Create a Pandas dataframe from the data.
df = pd.DataFrame({'Data': [10, 20, 30, 20, 15, 30, 45]})
output = io.BytesIO()
# Use the BytesIO object as the filehandle.
writer = pd.ExcelWriter(output, engine='xlsxwriter')
# Write the data frame to the BytesIO object.
df.to_excel(writer, sheet_name='Sheet1', index=False)
writer.save()
# Read the BytesIO object back to a data frame - here you should use your method
xlsx_data = pd.read_excel(output)
# Assert that the data frame is the same as the original
pd.testing.assert_frame_equal(xlsx_data, df)
Basically you flip the problem around: you build a data frame with some data in it, save it in a temporary file-like object, pass that object to your method, and then assert that the data is the same as the one you created.
NOTE: It needs pandas 0.17+
Tags: excel, excelpython, file, pandas
