3 examples of 'pandas lag function' in Python

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384def 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)
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109def 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()
35def 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

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