Manipulate Columns Article For Free

The easiest way to reorder columns in a Pandas dataframe is pass in a list of column names in the new order to df[] . This will rearrange the columns into your specified order. If you only want to show some of the columns, you can simply include the ones you want to include in the dataframe.

Position the mouse over the column line in the column heading so the cursor becomes a double arrow. Click and drag the mouse to increase or decrease the column width. Release the mouse. The column width will be changed.

Data Manipulation Methods with Python Filtering values on the basis of given condition: ... Apply a certain function to create either a new variable or perform related operations: ... Using a pivot function to aggregate across the desired column: ... Functionality of crosstab: ... Merge of 2 tables: ... Sorting a table:

Set a column to a specific width Select the column or columns that you want to change. Go to Home > Cells > Format. Under Cell Size, select Column Width. In the Column width box, type the value that you want. Select OK.

If you want to modify a single column in a dataframe, use map() If you want to modify several columns in a dataframe at once, use apply() If you want to perform aggregate functions on columns or rows in a dataframe, use apply()

7 Ways to Manipulate Pandas Dataframes import numpy as np. ... #1 meltdf_melted = pd.melt(df, id_vars='category') ... #2 stackdf_stacked = df_measurements.stack().to_frame() ... #3 unstackdf_stacked.unstack() #4 add or drop columnsdf['city'] = ['Rome','Madrid','Houston'] ... #5 insertdf.insert(0, 'first_column', [4,2,5])df.

Select the column you want to protect, right Click-> Format Cells->Protection, and select the "Locked" check box.

How to Change All the Values of a Column in Pandas Select the column you want to change. Use the . apply() method to apply a function to each value in the column. Assign the new values back to the column.