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dataframe column python

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Innocent Iguana answered on February 21, 2022 Popularity 9/10 Helpfulness 4/10

answer dataframe column python

related python dataframe and columns

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dataframe column python

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# See column names
df.columns
# Set column names
df.columns = ['A', 'B', 'C']
# Data type of columns
df.dtypes
# Select column of specific types only
df_ints = df.select_dtypes(include=['int'])
# Set type of a column
df['num_col']=df['num_col'].astype(int)
# See column description
df.describe()
# See column information
df.info()

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: dataframe python

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Contributed on Jan 11 2024

Innocent Iguana

0 Answers Avg Quality 2/10

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python dataframe and columns

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your data set : 
       0           1          2           3           4           5
0     AG  140.089584  18.775135  197.156000   17.526798  258.871000
1     AG  141.777557  14.103220  180.746000    2.285414  245.001000
2     AG  143.463440  15.038719  178.296982    0.344542  242.925000
3     AG  142.214218  14.445769  181.157000    2.383999  245.013000
4     AG  145.964310  13.961549  179.660843    2.026588  243.966000
#for columns
print(df[0])
0       AG
1       AG
2       AG
3       AG
4       AG

print(df[:2])  # you can use like,  run for loop upto second line
    0           1          2        3          4        5
0  AG  140.089584  18.775135  197.156  17.526798  258.871
1  AG  141.777557  14.103220  180.746   2.285414  245.001


print(df.iloc[1]) #iloc - default indexes (system generated)
print(df.loc[1]) # loc - table indexes or we manually given indexes 

0            AG
1    141.777557
2      14.10322
3       180.746
4      2.285414
5       245.001

print(df[3][1])  column x row 
180.746
print(df[1][3])
142.21421813964844

print(df[2][:])  all  of 2nd column
0       18.775135
1       14.103220
2       15.038719
3       14.445769

print(df[4].iloc[:3])  and  print(df[4].loc[:3])
# .loc
0    17.526798  			    0    17.526798                
1     2.285414					1     2.285414
2     0.344542					2     0.344542
								3     2.38399

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Sep 30 2022

Niransha

0 Answers Avg Quality 2/10

pandas columns

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-2

sorted(df)

Popularity 10/10 Helpfulness 1/10 Language python

Source: code-examples.net

Tags: pandas pa

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Contributed on Feb 21 2022

Delightful Deer

0 Answers Avg Quality 2/10

dataframe column python

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