Python

Here are 4 ways to replace values in Pandas DataFrame: (1) Replace a single value with a new value: Copy df[“column_name”] = df[“column_name”].replace([“old_value”], “new_value”) (2) Replace multiple values with a new value: Copy df[“column_name”] = df[“column_name”].replace([“1st_old_value”, “2nd_old_value”, …], “new_value”) (3) Replace multiple values with multiple new values: Copy df[“column_name”] = df[“column_name”].replace([“1st_old_value”, “2nd_old_value”, …], [“1st_new_value”, “2nd_new_value”, … Read more

To measure the time it takes to run a Python script: Copy import timestart_time = time.time()# Place your python script hereexecution_time = time.time() – start_timeprint(“Execution time in seconds: ” + str(execution_time)) Steps to Measure the Time it Takes to Run a Python Script Step 1: Write the Python Script For illustration purposes, let’s write a Python … Read more

You can change the Pandas version in Windows using this command: Copy pip install pandas==pandas version needed –user For example, if the Pandas version needed is 1.1.1, then open the Windows Command Prompt and type/copy the command below: Copy pip install pandas==1.1.1 –user Note that the above method would work only if you added Python … Read more

In this article, you’ll see 3 ways to create NaN values in Pandas DataFrame: 3 Ways to Create NaN Values in Pandas DataFrame (1) Using Numpy You can easily create NaN values in Pandas DataFrame using Numpy. More specifically, you can place np.nan each time you want to add a NaN value in the DataFrame. … Read more

In this short guide, you’ll see how to run one Python script from another Python script. Steps Step 1: Place the Python Scripts in the Same Folder To start, place your Python scripts in the same folder. For example, assume that two Python scripts (called python_1 and python_2) are stored in the same folder: python_1python_2 … Read more

In this short post, you’ll see 3 simple examples of For Loop in Python: 3 Examples Example 1: Looping over a List Suppose that you created a list of integers: Copy my_list = [22, 57, 15, 8, 29] To increase each value in the list by 1 using a For Loop: Copy my_list = [22, … Read more

In this short guide, you’ll see how to plot a Line chart in Python using Matplotlib. To start, here is a template that you may use to plot your Line chart: Copy import matplotlib.pyplot as pltx_axis = [“value_1”, “value_2”, “value_3”, …]y_axis = [“value_1”, “value_2”, “value_3”, …]plt.plot(x_axis, y_axis)plt.title(“title name”)plt.xlabel(“x_axis name”)plt.ylabel(“y_axis name”)plt.show() Next, you’ll see how to … Read more

You may use this template in order to convert strings to datetime in Pandas DataFrame: Copy df[‘DataFrame Column’] = pd.to_datetime(df[‘DataFrame Column’], format=specify your format) Note that the strings must match the format specified. Later, you’ll see several scenarios for different formats. Steps to Convert Strings to Datetime in Pandas DataFrame Step 1: Collect the Data … Read more

You can quickly check the version of Pandas installed using this syntax: Copy import pandas as pd print(pd.__version__) Run the code in Python, and you’ll get the version of Pandas. Here is an example of a Pandas version that you may get: If you want to change the version of Pandas, you may refer to … Read more

To check the version of NumPy installed in Python: Copy import numpyprint(numpy.version.version) Run the code, and you’ll get the version of NumPy. Here is an example of the version installed that you may see: