Describing the Data
Pandas offers the handy mean() function that calculates the average of all values for each column. Here's how you can utilize it:
To determine the average value for a specific column, you can follow this method:
Pandas also provides the mode() function, which identifies the most frequently occurring value in each column. See the example below:
To find the mode for a particular column, you can do this:
Another useful function in pandas is describe(). Here's how to use it:
This function provides an overview of various metrics from the dataset, including:
- Total number of entries;
- Mean or average value;
- Standard deviation;
- The minimum and maximum values;
- The 25th, 50th (median), and 75th percentiles.
Task
Retrieve the following from the dataframe named data_frame:
- Total entries for each column;
- Average value for each column;
- Standard deviation for each column;
- Minimum value for each column;
- Maximum value for each column;
- 25th, 50th, and 75th percentiles for each column.
Everything was clear?
Course Content
Pandas First Steps
Pandas First Steps
2. Reading Files in Pandas
3. Analyzing the Data
Describing the Data
Pandas offers the handy mean() function that calculates the average of all values for each column. Here's how you can utilize it:
To determine the average value for a specific column, you can follow this method:
Pandas also provides the mode() function, which identifies the most frequently occurring value in each column. See the example below:
To find the mode for a particular column, you can do this:
Another useful function in pandas is describe(). Here's how to use it:
This function provides an overview of various metrics from the dataset, including:
- Total number of entries;
- Mean or average value;
- Standard deviation;
- The minimum and maximum values;
- The 25th, 50th (median), and 75th percentiles.
Task
Retrieve the following from the dataframe named data_frame:
- Total entries for each column;
- Average value for each column;
- Standard deviation for each column;
- Minimum value for each column;
- Maximum value for each column;
- 25th, 50th, and 75th percentiles for each column.
Everything was clear?
