Hydrological Data Analysis: 001 Hydrological data analysis often involves working with time series data. In hydrology, streamflow is a critical parameter that is monitored and analyzed regularly. Streamflow data is usually recorded daily, but for many applications, it is useful to have the data aggregated into monthly or yearly values. In this blog post, we will explore how to convert daily streamflow data into monthly and yearly values using Python. Importing the Required Libraries Before we start working on the data, we need to import the necessary libraries. We will be using the Pandas library for data manipulation and the Matplotlib library for visualization. We can import these libraries using the following code Loading the Data The first step is to load the daily streamflow data into a Pandas data frame. We assume that the data is stored in a CSV file named "streamflow_data.csv" and that the data has two columns: "Date" and "Streamflow". We can use t...