pandas.Series.apply — pandas 2.2.3 documentation

Working with text data — pandas 2.2.3 documentation - PyData |

Series and Index are equipped with a set of string processing methods that make it easy to operate on each element of the array.

Group by: split-apply-combine — pandas 2.2.3 documentation

If a string matches both a column name and an index level name, a ValueError will be raised. In [5]: df = pd.DataFrame( ...

pandas.Series.rolling — pandas 2.2.3 documentation

For a DataFrame, a column label or Index level on which to calculate the rolling window, rather than the DataFrame's index. Provided integer column is ignored ...

pandas.Series.str — pandas 2.2.3 documentation - PyData |

Vectorized string functions for Series and Index. NAs stay NA unless handled otherwise by a particular method. Patterned after Python's string methods.

pandas.Series.to_list — pandas 2.2.3 documentation - PyData |

Return a list of the values. These are each a scalar type, which is a Python scalar (for str, int, float) or a pandas scalar (for Timestamp/Timedelta/Interval/ ...

pandas.core.window.expanding.Expanding.apply - PyData |

pandas 2.2.3 documentation - Home. Site ... Calling expanding with Series data. pandas.DataFrame.expanding. Calling ...

pandas.Series.str.split — pandas 2.2.3 documentation - PyData |

Split strings around given separator/delimiter. Splits the string in the Series/Index from the beginning, at the specified delimiter string.

pandas.Series.apply — pandas 1.5.2 documentation

Invoke function on values of Series. Can be ufunc (a NumPy function that applies to the entire Series) or a Python function that only works on single values.

pandas.Series.min — pandas 2.2.3 documentation - PyData |

For DataFrames, specifying axis=None will apply the aggregation across both axes. Added in version 2.0.0. skipnabool, default True. Exclude NA/null values when ...

pandas.Series.rename — pandas 2.2.3 documentation - PyData |

Functions or dict-like are transformations to apply to the index. Scalar or hashable sequence-like will alter the Series.name attribute. axis{0 or 'index'}.

pandas.Series.str.contains — pandas 2.2.3 documentation - PyData |

pandas.Series.str.contains# ... Test if pattern or regex is contained within a string of a Series or Index. Return boolean Series or Index based on whether a ...

pandas.Series.max — pandas 2.2.3 documentation - PyData |

For DataFrames, specifying axis=None will apply the aggregation across both axes. Added in version 2.0.0. skipnabool, default True. Exclude NA/null values when ...

pandas.Series.dt — pandas 2.2.3 documentation - PyData |

pandas.Series.dt# ... Accessor object for datetimelike properties of the Series values. ... Returns a Series indexed like the original Series. Raises TypeError if ...

pandas.Series.shift — pandas 2.2.3 documentation - PyData |

The scalar value to use for newly introduced missing values. the default depends on the dtype of self . For numeric data, np.nan is used. For datetime, ...

pandas.Series.isna — pandas 2.2.3 documentation - PyData |

pandas.Series.isna# ... Detect missing values. Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN , gets ...

pandas.Series.str.replace — pandas 2.2.3 documentation

pandas.Series.str.replace# · If True, assumes the passed-in pattern is a regular expression. · If False, treats the pattern as a literal string · Cannot be set to ...

pandas.Series.str.len — pandas 2.2.3 documentation

pandas.Series.str.len# ... Compute the length of each element in the Series/Index. The element may be a sequence (such as a string, tuple or list) or a collection ...

pandas.Series.fillna — pandas 2.2.3 documentation - PyData |

Fill NA/NaN values using the specified method. Method to use for filling holes in reindexed Series. Deprecated since version 2.1.0: Use ffill or bfill instead.

pandas.Series.to_numpy — pandas 2.2.3 documentation - PyData |

pandas.Series.to_numpy# ... A NumPy ndarray representing the values in this Series or Index. ... dtypestr or numpy.dtype, optional ... copybool, default False.

pandas.Series.copy — pandas 2.2.3 documentation - PyData |

Series or DataFrame. Object type matches caller. Notes. When deep=True , data is copied but actual Python objects will ...