## Show head of the dataframe

pandas dataframe

pandas iloc

pandas groupby

pandas read_csv

pandas column names

pandas loc

df.head() meaning

I would like to view first 20 rows of the dataframe where x > 2, additionally rows should be sorted from the highest to lowest number based on x column. See example

df x y z a 3 1 0 b 5 2 2 c 1 0 2

result

x y z b 5 1 0 a 3 2 2

Using base R, you can `subset`

and `order`

temp <- head(subset(df, x > 2), 20) temp[order(-temp$x), ] # x y z #b 5 2 2 #a 3 1 0

**pandas.DataFrame.head — pandas 0.23.1 documentation,** DataFrame. head (n=5)[source]�. Return the first n rows. This function returns the first n rows for the object based on position. It is useful for quickly testing if your� Show head of the dataframe. Ask Question Asked today. Active today. Viewed 28 times -2. I would like to view first 20 rows of the dataframe where x > 2, additionally

With `dplyr`

df %>% filter(x>2) %>% arrange(desc(x)) %>% head(20)

**Pandas DataFrame: head() function,** DataFrame - head() function The head() function is used to get the first n rows. This function returns the first n rows for the object based on position. It is useful for quickly testing if your object has the right type of data in it. Pandas head () method is used to return top n (5 by default) rows of a data frame or series. Syntax: Dataframe.head (n=5) Parameters: n: integer value, number of rows to be returned. Return type: Dataframe with top n rows. To download the data set used in following example, click here.

I hope the following logic using the library `dplyr`

and the dataset `iris`

can help you out:

library(dplyr) data(iris) iris%>% filter(Species =="virginica")%>% arrange(desc(Petal.Length))%>% head(20) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 7.7 2.6 6.9 2.3 virginica # 2 7.7 3.8 6.7 2.2 virginica # 3 7.7 2.8 6.7 2.0 virginica # 4 7.6 3.0 6.6 2.1 virginica # 5 7.9 3.8 6.4 2.0 virginica # 6 7.3 2.9 6.3 1.8 virginica # 7 7.2 3.6 6.1 2.5 virginica # 8 7.4 2.8 6.1 1.9 virginica # 9 7.7 3.0 6.1 2.3 virginica # 10 6.3 3.3 6.0 2.5 virginica # 11 7.2 3.2 6.0 1.8 virginica # 12 7.1 3.0 5.9 2.1 virginica # 13 6.8 3.2 5.9 2.3 virginica # 14 6.5 3.0 5.8 2.2 virginica # 15 6.7 2.5 5.8 1.8 virginica # 16 7.2 3.0 5.8 1.6 virginica # 17 6.9 3.2 5.7 2.3 virginica # 18 6.7 3.3 5.7 2.1 virginica # 19 6.7 3.3 5.7 2.5 virginica # 20 6.3 2.9 5.6 1.8 virginica

**Python,** Pandas head() method is used to return top n (5 by default) rows of a data frame As shown in the output image, it can be seen that the index of returned rows is � Pandas DataFrame head () method returns top n rows of a DataFrame or Series where n is a user input value. The head () function is used to get the first n rows. It is useful for quickly testing if your object has the right type of data in it. For negative values of n, the head () function returns all rows except the last n rows, equivalent to df [:-n].

**How to preview a part of a large pandas DataFrame, in iPython ,** df.head(5) # will print out the first 5 rows df.tail(5) # will print out the 5 last rows to show the four corners of the data and monkey-patch to dataframe to do so: Besides that, I will explain how to show all values in a list inside a Dataframe and choose the precision of the numbers in a Dataframe. Everything with the same tool. Everything with the same tool. In this tutorial, I am using the top 250 IMDB movies dataset, downloaded from Data World .

**pandas: Get first / last n rows of DataFrame with head(), tail(), slice ,** By default, the first 5 rows are returned. print(df.head()) # sepal_length sepal_width petal_length petal_width species� Preview DataFrames with head () and tail () The DataFrame.head () function in Pandas, by default, shows you the top 5 rows of data in the DataFrame. The opposite is DataFrame.tail (), which gives you the last 5 rows. Pass in a number and Pandas will print out the specified number of rows as shown in the example below.

**Head and tail function in Python pandas (Get First N Rows & Last N ,** Head and Tail function in python pandas. head() function gets first n rows and tail () function returns last (few) n rows of data frame pandas example head() We’ll create the GDP dataframe & for displaying the first five rows of the dataframe, we use head() function. csv_path=links["GDP"] d1=pd.read_csv(csv_path) #defining the dataframe d1.head() #displaying first five rows of the dataframe. Output:

##### Comments

- This is a very basic question. What did you try and where did you fail?
- Try
`head(dat[dat$x > 2, ][order(dat[dat$x > 2, ]$x), ], 20)`

. - Here is a one-liner
`head(subset(df[order(df$x, decreasing = TRUE),], x > 2), 20)`

- I am struggling with dplyr, would you be able to recommend alternative solution?