How to read Excel file using Python pandas?
I'm trying to read a file from Google Drive in Python, but when I run this code, I get: AttributeError: 'io.
TextIOWrapper' object has no attribute 'cellcontents' import pandas as pd. Df = pd.readcsv('myfile.xlsx', sep=",")
Print df. I understand the error - because the file contains unicode characters and pd doesn't recognize them. But what should I do to solve this problem? The error message occurs because of an issue that occurs when using text files without encoding (in our case, UTF-8). You can verify if the file in question is stored in a UTF-8 format by checking its MIME type, if it is plain text then the file is not stored in a way that can be parsed by a text-based interpreter such as pandas.
Try accessing the excel file in a browser, check if it displays the file correctly. If it does, make sure the browser is configured to not display strange symbols as character encodings (ex: windows-1255). If this is not the case, try downloading a different browser on the same machine and see if it displays the file. If the file shows correctly then the problem is something entirely different.
To properly use pd.readcsv, you need to use an explicit file encoding where your file does not already use one. This can be done with pd.readcsv(f, encoding='utf-8').
Can pandas read multiple sheets?
I have a problem that I'm trying to solve.
I have a data set that has different dates and then some values. I want to be able to read each date and each sheet and do a sum on the values in that sheet.
This is the code that I'm using right now. Import pandas as pd. Import numpy as np. Df = pd.readexcel(r'D:CodingPythonexamplesdata1.xlsx', sheetname='Sheet1')
Df2 = pd.readexcel(r'D:CodingPythonexamplesdata2.xlsx', sheetname='Sheet2')
Df3 = df.sum(axis=1) df4 = df2.sum(axis=1) However, I want to know if I can use pandas to read multiple sheets at the same time. Thanks for the help. What you can do is define an index for the dataframes and use that to iterate through them. For example: # Create a sample dataframe. Df = pd.DataFrame() # Define an index. Dfindex = pd.Index(df.
How do I read multiple Excel files in pandas?
I have multiple Excel files and I want to read them in Python and create dataframes for each file.
When I use pandas readexcel() function, it creates dataframe for the first file but skips other files. I also tried using the pandas readcsv() function but it created dataframe for all the files. If you have multiple files, use pandas.readexcel() on each file, which will return a list of dataframes. You can then concatenate the lists to make a single dataframe. For example:
Import pandas as pd. Df = pd.readexcel("file1.xlsx")
Df2 = pd.readexcel("file2.xlsx")
Df3 = pd.readexcel("file3.xlsx")
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