pandas.Series.duplicated — pandas 2.2.3 documentation

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

pandas.Series.describe# · 'all' : All columns of the input will be included in the output. · A list-like of dtypes : Limits the results to the provided data types ...

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

Allow duplicate column labels to be created. Added in version 1.5.0. Returns: Series or DataFrame or None. When ...

pandas.Series.le — pandas 2.2.3 documentation

otherSeries or scalar value: levelint or name. Broadcast across a level, matching Index values on the passed MultiIndex level. fill_valueNone ...

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

pandas.Series.clip# ... Trim values at input threshold(s). Assigns values outside boundary to boundary values. Thresholds can be singular values or array like, ...

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

pandas.Series.max# ... Return the maximum of the values over the requested axis. If you want the index of the maximum, use idxmax . This is the equivalent of the ...

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

Convert Series to DataFrame. Parameters: nameobject, optional. The passed name should substitute for the series name (if it has ...

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

pandas.Series.name# ... Return the name of the Series. The name of a Series becomes its index or column name if it is used to form a DataFrame. It is also used ...

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

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

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.min — pandas 2.2.3 documentation - PyData |

pandas.Series.min# ... Return the minimum of the values over the requested axis. If you want the index of the minimum, use idxmin . This is the equivalent of the ...

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

Cast a pandas object to a specified dtype dtype . Parameters: dtypestr, data type, Series or Mapping of column name -> data type. Use ...

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

Return the number of elements in the underlying data. Examples. For Series: >>> s = pd.Series ...

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

Convert Series to {label -> value} dict or dict-like object. Parameters: intoclass, default dict. The collections.abc.MutableMapping subclass to use as the ...

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

otherSeries or scalar value: levelint or name. Broadcast across a level, matching Index values on the passed MultiIndex level. fill_valueNone ...

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

Return boolean if values in the object are unique. Returns: bool. Examples. >>> s = ...

pandas.Series.add — pandas 2.2.3 documentation

pandas.Series.add# ; otherSeries or scalar value ; levelint or name ; fill_valueNone or float value, default None (NaN) ; axis{0 or 'index'}.

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

Returns: Series. Exploded lists to rows; index will be duplicated for these rows. See also.

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

pandas.Series.sort_values# ... Sort by the values. Sort a Series in ascending or descending order by some criterion. ... axis{0 or 'index'} ... ascendingbool or list ...

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

Return number of unique elements in the object. Excludes NA values by default. Parameters: dropnabool, default True. Don't include NaN in ...

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

pandas.Series.to_csv#. Series.to_csv(path_or_buf=None, *, sep=',', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, ...