I have a dataframe like the one below, where I have a daily count of points for each team. However, it’s a tough task to earn points and on many days the points stay the same. Since I’m turning the dataframe into a chart, I want to remove the rows where the point values are the same as that of the previous day. So in this case we keep row 0, row 1 is the same so we omit it, then keep row 2 because it’s different from row 1.

And of course, we don’t want to compare the date. The idea for what I want to accomplish is something like this, but keeping it as a dataframe:

df = [
    df.iloc[[i]] for i in df.index[1:] 
    if
    any(df.iloc[:, 1:].iloc[[i]] != df.iloc[:, 1:].shift(1).iloc[[i]])
]