How Can I Generate an Array of Dates Between Two Given Dates in C#?

Generate a date array within the specified date range

In some cases, in order to accurately represent data in a multi-series chart, it is necessary to generate a complete list of all dates in a specified range. For example, when the date ranges of different data series in the chart are different, the chart will be tilted due to the inconsistency of the X-axis time axis.

There are multiple ways to create an array or list of all dates within a given date range. Two common methods include using LINQ to improve simplicity and readability, and using for loops to achieve clearer control.

LINQ method

<code class="language-csharp">Enumerable.Range(0, 1 + end.Subtract(start).Days)
          .Select(offset => start.AddDays(offset))
          .ToArray();</code>

In this method, the Range method generates a sequence of numbers from 0 to the total number of days in the date range, and the Select method converts each number to a date by adding it to the starting date. The result is an array containing all dates in the specified range.

For Loop Method

<code class="language-csharp">var dates = new List<DateTime>();
for (var dt = start; dt <= end; dt = dt.AddDays(1)) {
    dates.Add(dt);
}</code>

This method uses a for loop to incrementally add each date in the specified range to the list. The loop continues until the end date is reached, ensuring that all dates are included.

Fill missing values ​​using default values

To handle scenarios where some series may be missing data for specific dates, consider filling those dates with default values. This can be achieved by using a dictionary, associating each date with its corresponding value, and using a default value if no value exists.

<code class="language-csharp">var paddedSeries = fullDates.ToDictionary(date => date, date => timeSeries.ContainsKey(date) ? timeSeries[date] : defaultValue);</code>

In this example, the dictionary maps each date to its value, and for dates that do not exist in the time series, a default value is assigned. With this approach, the resulting dataset maintains a consistent date range and fills in default values ​​for missing data points.

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