To read a CVC file with the given headers in pandas, you can use the read_csv
function from pandas library.
First, make sure you have pandas installed, you can install it by running the following command:
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Then, you can use the read_csv
function to read the CVC file:
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Make sure to replace 'path/to/your/file.csv'
with the actual path to the CVC file on your machine.
The names
parameter in read_csv
is used to specify the column names for the DataFrame. In this case, we assigned the column names 'date'
, 'open'
, 'high'
, 'low'
, 'close'
, 'adj close'
, and 'volume'
to the corresponding columns in the CVC file.
After reading the CVC file into a DataFrame, you can perform various operations and analysis on the data using pandas functions and methods.
gistlibby LogSnag