**Pandas**

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Appending values to a SeriesApplying a function to SeriesBinning values in a SeriesChanging data type of SeriesChecking if a value is NaN in Pandas SeriesChecking if all values are NaN in SeriesChecking if all values in a Series are uniqueChecking if Series has missing valuesConverting Python list to SeriesConverting Series of lists into DataFrameConverting Series to a Numpy arrayConverting Series to Python listCounting frequency of values in SeriesCreating a Series of zeroesCreating a Series with constant valueFiltering strings based on length in SeriesFiltering values of a SeriesGetting frequency counts of values in intervalsGetting index of largest valueGetting index of smallest valueGetting index of value in SeriesGetting integer index of largest valueGetting integer index of smallest valueGetting integer index of value in SeriesGetting intersection of SeriesGetting length of each string in SeriesGetting list of integer indices where value is boolean True in SeriesGetting the index of the nth value in SeriesGetting the most frequent value in SeriesGetting value of Series using integer indexGrouping Series by its valuesHandling error - "Truth value of a Series is ambiguous"Inverting a Series of booleansRemoving missing values from a SeriesRemoving substrings from strings in a SeriesRemoving values from SeriesResetting index of SeriesSorting values in a SeriesSplitting strings based on spaceStripping leading and trailing whitespaceTaking the floor or ceiling of values in SeriesUsing index.get_loc(~) for multiple values

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# Appending values to a Series in Pandas

*schedule*Aug 12, 2023

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Tags Python●Pandas

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# Appending a single value using square brackets

To append a single value:

```
a 3b 4c 5dtype: int64
```

WARNING

Appending a value to a Series is cost intensive because a new Series must be created. If you need to append multiple values, it is highly recommended to append them in one go (using `concat(~)`

), rather than one by one.

# Appending multiple values using concat

To append values to a Series in Pandas, use the `concat(~)`

method:

```
```

If you want to append values held in a Python standard list, first convert the list into a Series as we have done above.

Published by Isshin Inada

Edited by 0 others

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