Python program to replace multiple values one column # Importing pandas packageimportpandasaspd# Creating a dictionaryd={'x': ['Good','Better','Best']}# Creating a DataFramedf=pd.DataFrame(d)# Display original DataFrameprint("Original DataFrame 1:\n",df,"\n")# Replacing the column xdf=df...
Replacing Multiple Values in a Pandas Dataframe Now let’s say one seems to dislike the snacks listed above & would like to fetch some alternatives in the same price range for replacing those. This can be done by using the vals_to_replace function whose syntax is given below. vals_to_repl...
There are numerous ways in which we can replace multiple values in a DataFrame. In this section, we’ll look at three distinct methods of achieving this. Before we start working with DataFrames, we must make sure that Pandas is installed in our system. If not, we can easily install it ...
df['column name'] = df['column name'].replace(['old value'],'new value') (2) Replace multiple values with a new value for an individual DataFrame column: df['column name'] = df['column name'].replace(['1st old value','2nd old value',...],'new value') (3) Replace multi...
Replace Multiple Values in a Series With One Value To replace multiple values with one value in apandas series, we will pass the list of values that need to be replaced as the first input argument to thereplace()method. Next, we will pass the new value as the second input argument to ...
start_time = time.time()names['Gender'].loc[names.Gender=='female'] = 'FEMALE'end_time = time.time()pandas_time = end_time - start_timeprint("Replace values using .loc[]: {} sec".format(pandas_time))第二种方法是使用panda的内置函数.replace()，如下所示:start_time = time.time()...
pandas_time = end_time - start_timeprint("Replace values using .loc[]: {} sec".format(pandas_time)) 第二种方法是使用panda的内置函数.replace(),如下所示: start_time =time.time() names['Gender'].replace('female','FEMALE', inplace=True) ...
print("Replace values using .loc[]: {} sec".format(pandas_time)) 第二种方法是使用panda的内置函数.replace(),如下所示: start_time = time.time() names['Gender'].replace('female', 'FEMALE', inplace=True) end_time = time.time() ...
# Replace multiple valuesdf2=df.replace(['Spark','PySpark'],['Apache Spark','Apache PySpark'])print("After replacing a multiple values with another values:\n",df2) Yields below output # Output:# After replacing a multiple values with another valuesCourses Fee Duration 0 Apache Spark 22000 ...
start_time=time.time()names['Gender'].loc[names.Gender=='female']='FEMALE'end_time=time.time()pandas_time=end_time-start_timeprint("Replace values using .loc[]: {} sec".format(pandas_time)) 第二种方法是使用panda的内置函数.replace(),如下所示: ...