How do you find the mean in csv file in python?
First of all, as people say - CSV format looks simple, but it can be quite nontrivial, especially once strings enter play. monkut already gave you two solutions, the cleaned-up version of your code, and one more that uses CSV library. I'll give yet another option: no libraries, but plenty of idiomatic code to chew on, which gives you averages for all columns at once. Show
Things to note: In your code,
Pandas is a powerful Python package that can be used to perform statistical analysis. In this guide, you’ll see how to use Pandas to calculate stats from an imported CSV file. The ExampleTo demonstrate how to calculate stats from an imported CSV file, let’s review a simple example with the following dataset:
Step 1: Copy the Dataset into a CSV fileTo begin, you’ll need to copy the above dataset into a CSV file. Then rename the CSV file as stats. Step 2: Import the CSV File into PythonNext, you’ll need to import the CSV file into Python using this template: import pandas as pd df = pd.read_csv (r'Path where the CSV file is stored\File name.csv') print (df) Here is an example of a path where the CSV file is stored: C:\Users\Ron\Desktop\stats.csv So the complete code to import the stats CSV file is captured below (note that you’ll need to modify the path to reflect the location where the CSV file is stored on your computer): import pandas as pd df = pd.read_csv (r'C:\Users\Ron\Desktop\stats.csv') print (df) Once you run the code in Python (adjusted to your path), you’ll get the following DataFrame:
Step 3: Use Pandas to Calculate Stats from an Imported CSV FileFor the final step, the goal is to calculate the following statistics using the Pandas package:
In addition, we’ll also do some grouping calculations:
Once you’re ready, run the code below in order to calculate the stats from the imported CSV file using Pandas. As indicated earlier, you’ll need to change the path name (2nd row in the code) to reflect the location where the CSV file is stored on your computer. import pandas as pd df = pd.read_csv (r'C:\Users\Ron\Desktop\stats.csv') # block 1 - simple stats mean1 = df['Salary'].mean() sum1 = df['Salary'].sum() max1 = df['Salary'].max() min1 = df['Salary'].min() count1 = df['Salary'].count() median1 = df['Salary'].median() std1 = df['Salary'].std() var1 = df['Salary'].var() # block 2 - group by groupby_sum1 = df.groupby(['Country']).sum() groupby_count1 = df.groupby(['Country']).count() # print block 1 print ('Mean salary: ' + str(mean1)) print ('Sum of salaries: ' + str(sum1)) print ('Max salary: ' + str(max1)) print ('Min salary: ' + str(min1)) print ('Count of salaries: ' + str(count1)) print ('Median salary: ' + str(median1)) print ('Std of salaries: ' + str(std1)) print ('Var of salaries: ' + str(var1)) # print block 2 print ('Sum of values, grouped by the Country: ' + str(groupby_sum1)) print ('Count of values, grouped by the Country: ' + str(groupby_count1)) After you run the code in Python, you’ll get the following results:
You just saw how to calculate simple stats using Pandas. You may also want to check the Pandas documentation to learn more about the power of this great library! How do you find the mean of a csv file in Python?Steps to Calculate Stats from an Imported CSV File. Step 1: Copy the Dataset into a CSV file. To begin, you'll need to copy the above dataset into a CSV file. ... . Step 2: Import the CSV File into Python. ... . Step 3: Use Pandas to Calculate Stats from an Imported CSV File.. How do I get the average of a column in Python CSV?To get column average or mean from pandas DataFrame use either mean() and describe() method. The DataFrame. mean() method is used to return the mean of the values for the requested axis.
How do you find the mean of a csv file in R?Method 1: Using mean function
In this method to calculate the mean of the column of a CSV file we simply use the mean() function with the column name as its parameter and this function will be returning the mean of the provided column of the CSV file.
What does CVS mean in Python?The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases.
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