3 examples of 'pandas lag function' in Python
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384 def lag_plot(series, lag=1, ax=None, **kwds): 385 """ 386 Lag plot for time series. 387 388 Parameters 389 ---------- 390 series : Time series 391 lag : lag of the scatter plot, default 1 392 ax : Matplotlib axis object, optional 393 **kwds 394 Matplotlib scatter method keyword arguments. 395 396 Returns 397 ------- 398 class:`matplotlib.axis.Axes` 399 """ 400 plot_backend = _get_plot_backend("matplotlib") 401 return plot_backend.lag_plot(series=series, lag=lag, ax=ax, **kwds)
109 def add_lag_vars(df, lag=3): 110 new_df_dict = {} 111 for col_header in df.drop("Date", axis=1): 112 new_df_dict[col_header] = df[col_header] 113 for lag in range(1, lag + 1): 114 new_df_dict["%s_lag%d" % 115 (col_header, lag)] = df[col_header].shift(-lag) 116 117 new_df = pd.DataFrame(new_df_dict, index=df.index) 118 new_df["Date"] = df["Date"] 119 120 return new_df.dropna()
35 def add_lag(self, df): 36 """Adds the lag to the index of the dataframe""" 37 df.index = df.index.map(self.add_date_lag) 38 return df