You can convert floats to integers in Pandas DataFrame using: (1) astype(int): Copy df[“DataFrame Column”] = df[“DataFrame Column”].astype(int) (2) apply(int): Copy df[“DataFrame Column”] = df[“DataFrame Column”].apply(int) In this guide, you’ll see 4 scenarios of converting floats to integers for: 4 Scenarios of Converting Floats to Integers in Pandas DataFrame (1) Convert floats to integers for … Read more
To convert Pandas DataFrame to a dictionary: Copy my_dictionary = df.to_dict() Steps to Convert Pandas DataFrame to a Dictionary Step 1: Create a DataFrame For example, create a DataFrame with two columns: Copy import pandas as pddata = { “Product”: [“Laptop”, “Printer”, “Monitor”, “Tablet”], “Price”: [1200, 100, 300, 150],}df = pd.DataFrame(data)print(df)print(type(df)) You’ll then get the … Read more
To convert Pandas DataFrame to Series using squeeze: Copy df.squeeze() In this guide, you’ll see 3 scenarios of converting: (1) Convert a Single DataFrame Column into a Series To start with a simple example, let’s create a DataFrame with a single column: Copy import pandas as pd data = {“Products”: [“Computer”, “Printer”, “Tablet”, “Chair”, “Desk”]} … Read more
The len() function can be used to count the number of elements in a Python list: Copy len(my_list) 3 Examples of Counting the Number of Elements in a List Example 1: List that Contains Strings To start with a simple example, create a list that contains 5 names: Copy names_list = [“Jeff”, “Ben”, “Maria”, “Sophia”, … Read more
Here is a simple template to create a horizontal bar chart using Matplotlib: Copy import matplotlib.pyplot as plty_axis = [“value_1”, “value_2”, “value_3”, …]x_axis = [“value_1”, “value_2”, “value_3”, …]plt.barh(y_axis, x_axis)plt.title(“title name”)plt.ylabel(“y axis name”)plt.xlabel(“x axis name”)plt.show() Steps to Create Horizontal Bar Chart using Matplotlib Step 1: Gather the data for the chart For example, let’s use the … Read more
In this short guide, you’ll see how to change the order of columns in Pandas DataFrame. Here are the steps: Steps to Change the Order of Columns in Pandas DataFrame Step 1: Prepare the Data for the DataFrame To begin, prepare the data for your DataFrame. For example: Name Age Profession Country Jack 22 Accountant … Read more
Here are 4 ways to find all columns that contain NaN values in Pandas DataFrame: (1) Use isna() to find all columns with NaN values: Copy df.isna().any() (2) Use isnull() to find all columns with NaN values: Copy df.isnull().any() (3) Use isna() to select all columns with NaN values: Copy df[df.columns[df.isna().any()]] (4) Use isnull() to … Read more
You can use the sys library in order to check the version of your Python Interpreter: Copy import sysprint(sys.version) Here is an example of a version of the Python Interpreter: Get the components of your version If you want to get the components of your version, you may use: Copy import sysprint(sys.version_info) For our example, … Read more
You can use the PyAutoGUI library to control a keyboard using Python. To start, here is the command to install the PyAutoGUI library: Copy pip install pyautogui In this tutorial, you’ll see 4 scenarios that describe how to: 4 Scenarios to Control a Keyboard using Python Scenario 1: Type characters using the typewrite() function You can … Read more
To transpose Pandas DataFrame: Copy df = df.transpose() Let’s see how to apply the above syntax by reviewing 3 cases of: Case 1: Transpose Pandas DataFrame with a Default Index To start with a simple example, let’s create a DataFrame with 3 columns: Copy import pandas as pd data = {‘A’: [11, 22, 33], ‘B’: … Read more
