pandas.Series.duplicated — pandas 2.2.3 documentation

Pandas: To find duplicate columns - Data Science Stack Exchange

To list duplicate columns by name in a Pandas DataFrame, you can call the duplicated method on the .columns property: df.columns.duplicated ...

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 ...

pylint · PyPI

symilar (duplicate code finder that is also integrated in pylint). Contributing. We welcome all forms of contributions such as updates for documentation, new ...

pandas.Index.drop_duplicates — pandas 2.2.3 documentation

Equivalent method on DataFrame. Index.duplicated. Related method on Index, indicating duplicate Index values. Examples. Generate an pandas ...

How to remove duplicate rows in Pandas DataFrame - Quora

Let's say in above dataframe you want to remove duplicate row so you can use drop_duplicates() function- Here, Subset= None (so that you can ...

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

The unique values returned as a NumPy array. See Notes. See also. Series.drop_duplicates. Return Series with duplicate values removed.

User Guide — pandas 2.2.3 documentation

The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas ...

pandas.Series.items — pandas 2.2.3 documentation

This method returns an iterable tuple (index, value). This is convenient if you want to create a lazy iterator.

modin.pandas.DataFrame.duplicated - Snowflake Documentation

Developer Snowpark API Python Python API Reference Snowpark pandas API DataFrame modin.pandas.DataFrame.duplicated. You are viewing documentation about an older ...

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

Return Series with duplicate values removed. DataFrame.drop. Drop specified labels from rows or columns. Examples.

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

Return the product of the values over the requested axis. axis {index (0)} Axis for the function to be applied on. For Series this parameter is unused and ...

pandas.Series.index — pandas 2.2.3 documentation

... pandas Series, which is used to label and identify each element of the data. The index can be an immutable ordered set of unique or duplicate labels.

pandas.Series.drop_duplicates — pandas 2.2.0rc0 documentation

'last' : Drop duplicates except for the last occurrence. False : Drop all duplicates. inplacebool, default False.

pandas.DataFrame — pandas 2.2.3 documentation - PyData |

pandas.DataFrame# ... Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structure also contains labeled axes (rows and columns).

pandas.Series.ge — 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 ...

DataFrame — pandas 2.2.3 documentation - PyData |

Drop specified labels from rows or columns. DataFrame.drop_duplicates ([subset, keep, ...]) Return DataFrame with duplicate rows removed.

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

Return the mean of the values over the requested axis. axis {index (0)} Axis for the function to be applied on. For Series this parameter is unused and ...

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

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.sub — pandas 2.2.3 documentation

Subtraction of series and other, element-wise (binary operator sub ). Equivalent to series - other , but with support to substitute a fill_value for missing ...

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

Return a boolean Series showing whether each element in the Series matches an element in the passed sequence of values exactly.