You can use the loc method to replace values based on a condition: import pandas as pd # Sample DataFrame df = pd.DataFrame({ 'Category': ['A', 'B', 'C', 'A', 'B'], 'Value': [10, 20, 30, 40, 50] }) # Replace values based on condition df.loc[df['Category'] == '...
Related:You can replace the Pandas values based on condition. 1. replace() Syntax Below is the syntax of the replace() method. This is also used toreplace the substringin the column. # Syntax of replace() methodDataFrame.replace(to_replace=None,value=None,inplace=False,limit=None,regex=Fa...
Let’s see how to replace multiple values with a new value on DataFrame column. In the below example, this will replace occurrences of'Pyspark‘ and'Python'with'Spark'in the ‘Courses’ column of your DataFrame. The resulting DataFrame (df) will have the updated values in the specified colu...
The following code demonstrates how to exchange cells in a pandas DataFrame according to a logical condition. The Python code below replaces all values that are smaller or equal to 2 in the column x1 by the value 999: After running the previous Python programming code the pandas DataFrame illu...
The simplest way to replace data in a DataFrame is using thereplace()method. Let us first understand its syntax. Syntax: DataFrame.replace(to_replace=None, value=_NoDefault.no_default, *, inplace=False, limit=None, regex=False) to_replace: A required argument specifying the value that you...
Pandas: How to replace all values in a column, based on condition? How to Map True/False to 1/0 in a Pandas DataFrame? How to perform random row selection in Pandas DataFrame? How to display Pandas DataFrame of floats using a format string for columns?
np.where(y>5)array([2, 3, 5, 7, 8], dtype=int64),)# First will replace the values that match the condition, # second will replace the values that does not np.where(y>5, "Hit", "Miss")array(['Miss', 'Miss', 'Hit', 'Hit', 'Miss', 'Hit', 'Miss', 'Hit', 'Hit'],...
Python program to replace all occurrences of a string in a pandas dataframe # Importing pandas packageimportpandasaspd# Creating a dictionaryd={'a': ['1*','2*','3'],'b': ['4*','5*','6*'] }# Creating a DataFramedf=pd.DataFrame(d)# Display original DataFrameprint("Original DataFr...
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DataFrame.replace() DataFrame.sort() DataFrame.sort_values() DataFrame.sort_index() DataFrame.select() DataFrame.set_operations() DataFrame.union() DataFrame.collect() DataFrame.geometries DataFrame.srids DataFrame.rename_columns() DataFrame.auto_cast() DataFrame.cast() DataFrame.tail() DataFrame.to_...