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* Add files via upload * Update classes.md * Update classes.md * Update classes.md * Update index.md * Update classes.md * Update index.md * Add files via upload * Update viewing_data_in_pandas.md * Delete contrib/advanced-python/classes.md * Delete contrib/advanced-python/index.md * Revert "Delete contrib/advanced-python/index.md" This reverts commit 55fe958. * Update index.md * Update viewing_data_in_pandas.md Updated the heading format * Update index.md * Update and rename viewing_data_in_pandas.md to viewing-data.md * Update viewing-data.md --------- Co-authored-by: Ankit Mahato <ankmahato@gmail.com>
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‎contrib/pandas/index.md

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# List of sections
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- [Pandas Introduction and Dataframes in Pandas](introduction.md)
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- [Viewing data in pandas](viewing-data.md)
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- [Pandas Series Vs NumPy ndarray](pandas-series-vs-numpy-ndarray.md)
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- [Pandas Descriptive Statistics](descriptive-statistics.md)
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- [Group By Functions with Pandas](groupby-functions.md)

‎contrib/pandas/viewing-data.md

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# Viewing rows of the frame
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## `head()` method
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The pandas library in Python provides a convenient method called `head()` that allows you to view the first few rows of a DataFrame. Let me explain how it works:
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- The `head()` function returns the first n rows of a DataFrame or Series.
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- By default, it displays the first 5 rows, but you can specify a different number of rows using the n parameter.
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### Syntax
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```python
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dataframe.head(n)
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```
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`n` is the Optional value. The number of rows to return. Default value is `5`.
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### Example
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```python
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import pandas as pd
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df = pd.DataFrame({'animal': ['alligator', 'bee', 'falcon', 'lion','tiger','rabit','dog','fox','monkey','elephant']})
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df.head(n=5)
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```
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#### Output
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```
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animal
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0 alligator
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1 bee
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2 falcon
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3 lion
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4 tiger
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```
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## `tail()` method
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The `tail()` function in Python displays the last five rows of the dataframe by default. It takes in a single parameter: the number of rows. We can use this parameter to display the number of rows of our choice.
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- The `tail()` function returns the last n rows of a DataFrame or Series.
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- By default, it displays the last 5 rows, but you can specify a different number of rows using the n parameter.
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### Syntax
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```python
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dataframe.tail(n)
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```
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`n` is the Optional value. The number of rows to return. Default value is `5`.
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### Example
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```python
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import pandas as pd
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df = pd.DataFrame({'fruits': ['mongo', 'orange', 'apple', 'lemon','banana','water melon','papaya','grapes','cherry','coconut']})
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df.tail(n=5)
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```
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#### Output
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```
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fruits
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5 water melon
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6 papaya
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7 grapes
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8 cherry
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9 coconut
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```

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