In pandas, you can change the data type of a column using the astype() function.
Example 1: Change/Modify the Single Column Type of DataFrame Into Another Type Here is an example code that modifies the data type of the single DataFrame column: import pandas df=pandas.DataFrame({'id_no':[14,12,15,16],'name':['Joseph','Anna','Henry','Tim'],'Age':[15,18,12,13...
iloc[:, i] = X_validation.iloc[:, i].astype(str) to col_name = X.columns[i] X[col_name] = X[col_name].astype(str) if X_validation is not None: X_validation[col_name] = X_validation[col_name].astype(str) this prevents Future warning from pandas of setting incompatible dtype...
Pandas In a Pandas DataFrame, we can check the data types of columns with the dtypes method. df.dtypesName stringCity stringAge stringdtype:object The astype function changes the data type of columns. Consider we have a column with numerical values but its data type is string. This is a s...
df = df.insert(0, col.name, col) print("After changing the position of the columns:\n", df) Output is the same as the above. Move the First Column to the Last in Pandas DataFrame Now let’s see how to move the first column to the last position in Pandas DataFrame. ...
Iterate over pandas dataframe using itertuples Pandas shift down values by one row within a group Merge two dataframes based on multiple keys in pandas Pandas dataframe remove constant column Pandas combining two dataframes horizontally Retrieve name of column from its index in pandas ...
Using this example, it will be much easier to understand — how to change the data type of columns in Pandas. pandas.DataFrame.astype() This method is used to assign a specific data type to a DataFrame column. Let’s assignint64as the data type of the columnYear. With the commands.head...
The order of columns refers to the horizontal sequence in which the column names are created. In the figure, the order of columns isPeter -> Harry -> Tom -> Jhon. Sometimes we might need to rearrange this sequence. Pandas allow us to rearrange the order of columns using thelocProperty....
df.insert(0, col.name, col) print(df) # colD colA colB colC # 0 10 1 a True # 1 20 2 b False # 2 30 3 c False Using set_index() method If you want to move a column to the front of a pandas DataFrame, thenset_index()is your friend. ...
Step 2: Change the strings to uppercase in Pandas DataFrame Next, change the strings to uppercase using this template: Copy df['column name'] = df['column name'].str.upper() For our example: Copy importpandasaspd data = {'Vegetables': ['broccoli','carrot','onion','celery','spinach...