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Deleting a DataFrame row in Python Pandas based on column value
To delete a DataFrame row in Pandas based on column value, we can take the following Steps −
Steps
Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
Print the input DataFrame.
Here, we will delete the row from the DataFrame that contains 0 in its Z-column, using df=df[df.z != 0]
Print the updated DataFrame, after deleting row based on column value.
Example
import pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 9], "y": [4, 1, 5, 10], "z": [4, 1, 5, 0] } ) print "Input DataFrame is:
", df df = df[df.z != 0] print "After deleting row based on column value:
", df
Output
Input DataFrame is: x y z 0 5 4 4 1 2 1 1 2 1 5 5 3 9 10 0 After deleting row based on column value: x y z 0 5 4 4 1 2 1 1 2 1 5 5
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