How to read excel specific header in pandas?

How do I skip column names in pandas read excel?

How do I skip column names in read excel or get the index? In my DataFrame below, for example 'c' column has all NA values. Is there any way that I can skip it when reading into DataFrame? Here is an example of data.

Import pandas as pd. Data =. Df = pd.DataFrame(data) print(df.head()) In this case, I want to skip 'c' column and get a dataframe like below. Print(df.head()) I've tried: pd.readexcel('file.xlsx', sheetname=None)
But it can't remove column names even if it skip it, why? And also, if it's possible, how do I set index(the index is 'sheetnumber', here it's 1, and not the sheetnumber on my excel file)? Thanks. You have to set the list of colnames parameter, you can find the information about this parameter in pandas documentation. Also if you want to skip colnames and index you have to set them in readexcel because the information are available only when reading from an excel using readexcel function. You can use ix (for index) and ix0 (for missing values) to skip them. You can find this information in Pandas documentations too.

How to read excel sheet name in pandas?

I'm trying to read excel sheet name and the number of columns in the row with pandas.readexcel but my code is not working. I'm using win32com.client.

Here is my code : import pandas as pd. XlApp = win32com.Dispatch("Excel.Application")
Wb = xlApp.Workbooks.Open(r'C:file.xlsx')
Df = pd.readexcel(r'C:file.xlsx', sheetname='Sheet1', names=True)

This error is coming out : AttributeError: 'function' object has no attribute 'ReadFromTSV'. I don't know where I'm going wrong. Can anybody help me with this? Here's a full example that demonstrates how to use .xlsx files with the readexcel function in the pandas.excel module. It imports a file with headers, creates a DataFrame and prints it.

Also, the .xlsx files must be opened with the openpyxl library, otherwise you will get an AttributeError from the pandas.

From openpyxl import loadworkbook. # Open your file. Wb = loadworkbook('C:/Users/jimms/Desktop/test.xlsx') # Get the first sheet. Sheet = wb.readexcel(wb, sheetname='Sheet1', header=None, skiprows=0, names=True) # Print the DataFrame.