如何从 pandas 中的数据集创建 1 行 dataframe

Question

I have a.csv file with many rows and columns. For analysis purposes, I want to select a row number from the dataset and pass it as a dataframe in pandas.

Instead of writing the column names and input values inside a dict, how can I make it faster? Right now I have:

df= pd.read_csv('filename.csv')
df2= pd.DataFrame({'var1': 5, 'var2': 10, 'var3': 15}) 

var1,var2,var3 are df columns. I want to make a seperate dataframe with df data.

You can either select a random row, or a given row number. Thank you for your help.

Answer 1

If you want to filter out data as new dataframe from existing one you can use something like this -

based on particular rows required

df2 = df.iloc[4:5,:]

or data using some condition

df3 = df[df['var1'] < 10]

Answer 2

df2 = df.iloc[rownum:rownum + 1, :]