DataFrame.apply('function','condition') Note To work with pandas, we need to importpandaspackage first, below is the syntax: import pandas as pd Let us understand with the help of an example: Python program to apply a function to a single column in pandas DataFrame ...
import pandas as pd # Example DataFrame data = {'x': [10, 20, 30], 'y': [True, False, True]} df = pd.DataFrame(data) # Apply the condition: if 'y' is True, assign the value to 'x' df['x'] = df.apply(lambda row: row['y'] if row['y'] else row['x'], axis=1...
We can also apply the conditional statements on pandasdataframesusing the lambda function. We used the conditional statement inside the lambda function in the following example. We applied the condition on theMonthly Incomecolumn. If the monthly income is greater and equal to 5000, addStableinside...
Modifying a subset of rows in a pandas DataFrame Now, we will use theloc[]property for modifying a column value, suppose we want a value to be set for a column whenever a certain condition is met for another column, we can use the following concept: df.loc[selection criteria, columns I...
Let’s dive in step-by-step to learn the use ofrolling().apply()on a dataframe. Import libraries. importpandasaspdimportnumpyasnp First, we import necessary libraries,pandasfor playing with data frames andnumpyto work with arrays while using thenumpy.median()function. ...
Pandas transpose() function is used to transpose rows(indices) into columns and columns into rows in a given DataFrame. It returns transposed DataFrame by
There are indeed multiple ways to get the number of rows and columns of a Pandas DataFrame. Here's a summary of the methods you mentioned: len(df): Returns the number of rows in the DataFrame. len(df.index): Returns the number of rows in the DataFrame using the index. df.shape[0]...
Retrieving a specific cell value or modifying the value of a single cell in a Pandas DataFrame becomes necessary when you wish to avoid the creation of a new DataFrame solely for updating that particular cell. This is a common scenario in data manipulation tasks, where precision and efficiency ...
在基于 pandas 的 DataFrame 对象进行数据处理时(如样本特征的缺省值处理),可以使用 DataFrame 对象的 fillna 函数进行填充,同样可以针对指定的列进行填补空值,单列的操作是调用 Series 对象的 fillna 函数。 1fillna 函数 2示例 2.1通过常数填充 NaN 2.2利用 method 参数填充 NaN ...
Learn how to save your DataFrame in Pandas. This Python tutorial is a part of our series of Python Package tutorials. The steps explained ahead are related to a sample project. Before we start: This Python tutorial is a part of our series of Python Package tutorials. The steps explained ...