"columns",inplace=True)# Rename specifi columns# Using lambda functiondf.rename(columns=lambdax:'ren_'+x,inplace=True)# Using String replace()# To rename specific columndf.columns=df.columns.str.replace("Duration","Course_Duration")# Rename specific all column namesdf.columns=df.columns.str...
The pandasDataFrame.rename()function is a quite versatile function used not only to rename column names but also row indices. The good thing about this function is that you can rename specific columns. The syntax to change column names using the rename function. # Syntax to change column name...
Next, it assigns n to conv_n and encloses it in curly brackets {} to transform it into a string using f-string formatting. Following the conversion, it confirms that the object is a string by printing the type of conv_n. Variables and expressions may be directly placed into string ...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...
Columns in Dataframe Python Python Coding Platform Return Two Values from a Function Python Best Apps for Practicing Python Programming IDE vs Code Editor Pass variable to dictionary in Python Passing an array to a function python Patch.object python Pause in python script Best Python Interpreters ...
inplace: bool, (default False) Do the changes in the current datafame object col_level: int or str, (default 0) If the columns have multiple levels, determines at which level the labels are to be inserted. By default, it is inserted into the first level (0). col_fill: object...
In this section we perform simple data processing steps. pipeline.py consists of two functions process_data and run_pipeline. #pipeline.pyimport pandas as pddef process_data(df: pd.DataFrame) -> pd.DataFrame: df_output = (df .drop(columns = ['Name', 'Ticket']) .rename({i:i.lower()...
This tutorial is adapted from Web Age course Data Engineering Bootcamp Training Using Python and PySpark.When you embark on a new data engineering/data science/machine learning project, right off the bat you may be faced with defects in your input dataset, including but not limited to these ...
Parquet, being a columnar file, enhances the efficiency of writing all columns in a single go. However, making any changes to it necessitates overwriting the entire file. From Wiki The column-oriented database arranges the values of each column consecutively, followed by the values of the next...
Matplotlib histogram is used to visualize the frequency distribution of numeric array. In this article, we explore practical techniques like histogram facets, density plots, plotting multiple histograms in same plot.