If we perform certain operations on these shared objects, it will modify the original object as it holds the same reference or it will raise an error. To overcome this problem, we should always make a copy of a DataFrame in pandas.
Now say you have aDataFramewith adatecolumn and want to offset it by a given number of days. Below, you’ll find two ways of doing that. Can you guess the speedup factor of the vectorized operation? By using vectorized operations rather than loops for this costly operation, we got an ...
max, etc) that summarize each object’s light curve characteristics with thegroupby-aggregationoperation. The input data is a dataframe with light curves of all the objects. The groupby-aggregation operation split
Here, on the right-hand-side of the assignment operator, we’re usingcolnames(stock_amzn)toretrievethe column names. Then we pipe the column names intostr_to_lower()which converts the names to lower case. The resulting output is then re-assigned to the column names of the dataframe. We ...