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Dataframe In Pandas

In this article, we will discuss DataFrame in pandas

What Is Dataframe?

DataFrame is a 2-dimensional tabular data structure with labelled axis (rows and columns). See the following figure.

Picture showing the pictorical representation of the dataframe

Example

Consider the following code

import numpy as np
import pandas as pd

print(pd.DataFrame(np.random.randn(5,4),['A', 'B', 'C', 'D', 'E'],['W', 'X', 'Y', 'Z']))

Here A to E are indexes and from W to Z are columns. If you run the above program, you will get following output

Picture showing the output of the dataframe in pandas

Click to Enlarge

Access Elements In Dataframe

In DataFrame, we can access data column-wise using single bracket. Consider the following example

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(5,4),['A', 'B', 'C', 'D', 'E'],['W', 'X', 'Y', 'Z'])

print(df['W'])

# You can also use df.W

Here is the output

Picture showing how the data is accessed column-wise in dataframe

Click to Enlarge

The output type is the series.

Posted By -	Karan Gupta

Posted On -	Thursday, April 11, 2019

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