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Python | pandas.to_markdown() in Pandas

Last Updated : 22 Apr, 2020
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With the help of pandas.to_markdown() method, we can get the markdown table from the given dataframes by using pandas.to_markdown() method.
Syntax : pandas.to_markdown() Return : Return the markdown table.
Example #1 : In this example we can see that by using pandas.to_markdown() method, we are able to get the markdown table from the given dataframes by using this method. Python3 1=1
# import pandas
import pandas as pd

df = pd.DataFrame({"A": [1, 2, 3],
                   "B": [1.1, 2.2, 3.3]}, 
                    index =['a', 'a', 'b'])

# Using pandas.to_markdown() method
gfg = df.to_markdown()

print(gfg)
Output :
|    |   A |   B |
|:---|----:|----:|
| a  |   1 | 1.1 |
| a  |   2 | 2.2 |
| b  |   3 | 3.3 |
Example #2 : Python3 1=1
# import pandas
import pandas as pd

df = pd.DataFrame({"A": [3, 4, 5],
                   "B": ['c', 'd', 'e']},
                   index =['I', 'II', 'III'])

# Using pandas.to_markdown() method
gfg = df.to_markdown()

print(gfg)
Output :
|     |   A | B   |
|:----|----:|:----|
| I   |   3 | c   |
| II  |   4 | d   |
| III |   5 | e   |

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