You can use the pandas
library to read an Excel file and convert it into a DataFrame
. By default, pandas
will try to infer the data types of the columns. However, if you want all values to be str
by default, you can use the dtype
parameter while reading the file.
Here's an example code snippet:
main.py165 chars8 lines
In the code above, we are passing the dtype=str
parameter while reading the Excel file. This will convert all values into strings by default. You can replace str
with any other data type you want.
Once you have the DataFrame
, you can perform various operations on it such as filtering, grouping, sorting, and more.
gistlibby LogSnag