How do i show the first row in python?

1. Get the First Row of a Pandas DataFrame Using pandas.DataFrame.iloc Property
2. Get the First Row From a Pandas DataFrame Based on Specified Condition

This tutorial explains how we can get the first row from a Pandas DataFrame using the pandas.DataFrame.iloc property and pandas.DataFrame.head[] method.

We will use the DataFrame in the example below to explain how we can get the first row from a Pandas DataFrame.

import pandas as pd


df = pd.DataFrame[{
    'C_1': ["A","B","C","D"],
    'C_2':  [40,34,38,45],
    'C_3': [430, 980, 200, 350],
}]

print[df]

Output:

  C_1  C_2  C_3
0   A   40  430
1   B   34  980
2   C   38  200
3   D   45  350

Get the First Row of a Pandas DataFrame Using pandas.DataFrame.iloc Property

import pandas as pd


df = pd.DataFrame[{
    'C_1': ["A","B","C","D"],
    'C_2':  [40,34,38,45],
    'C_3': [430, 980, 200, 350],
}]

row_1=df.iloc[0]

print["The DataFrame is:"]
print[df,"\n"]

print["The First Row of the DataFrame is:"]
print[row_1]

Output:

The DataFrame is:
  C_1  C_2  C_3
0   A   40  430
1   B   34  980
2   C   38  200
3   D   45  350

The First Row of the DataFrame is:
C_1      A
C_2     40
C_3    430
Name: 0, dtype: object

It displays the first row of the DataFrame df. To select the first row, we use the default index of the first row i.e. 0 with the iloc property of the DataFrame.

Get the First Row From a Pandas DataFrame Using the pandas.DataFrame.head[] Method

The pandas.DataFrame.head[] method returns a DataFrame with topmost 5 rows of the DataFrame. We can also pass a number as an argument to the pandas.DataFrame.head[] method representing the number of topmost rows to be selected. We can pass 1 as an argument to the pandas.DataFrame.head[] method to only select the first row of the DataFrame.

import pandas as pd


df = pd.DataFrame[{
    'C_1': ["A","B","C","D"],
    'C_2':  [40,34,38,45],
    'C_3': [430, 980, 200, 350],
}]

row_1=df.head[1]

print["The DataFrame is:"]
print[df,"\n"]

print["The First Row of the DataFrame is:"]
print[row_1]

Output:

The DataFrame is:
  C_1  C_2  C_3
0   A   40  430
1   B   34  980
2   C   38  200
3   D   45  350

The First Row of the DataFrame is:
  C_1  C_2  C_3
0   A   40  430

Get the First Row From a Pandas DataFrame Based on Specified Condition

To extract the first row satisfying specified conditions from a DataFrame, we at first filter the rows satisfying specified conditions and then select the first row from the filtered DataFrame using the methods discussed above.

import pandas as pd


df = pd.DataFrame[{
    'C_1': ["A","B","C","D"],
    'C_2':  [40,34,38,45],
    'C_3': [430, 980, 500, 350],
}]

filtered_df=df[[df.C_2 < 40] & [df.C_3 > 450]]

row_1_filtered=filtered_df.head[1]

print["The DataFrame is:"]
print[df,"\n"]

print["The Filtered DataFrame is:"]
print[filtered_df,"\n"]


print["The First Row with C_2 less than 45 and C_3 greater than 450 is:"]
print[row_1_filtered]

Output:

The DataFrame is:
  C_1  C_2  C_3
0   A   40  430
1   B   34  980
2   C   38  500
3   D   45  350

The Filtered DataFrame is:
  C_1  C_2  C_3
1   B   34  980
2   C   38  500

The First Row with C_2 less than 45 and C_3 greater than 450 is:
  C_1  C_2  C_3
1   B   34  980

It will display the first row with the value of column C_2 less than 45 and the value of C_3 column greater than 450.

We can also use the query[] method to filter the rows from the DataFrame.

import pandas as pd


df = pd.DataFrame[{
    'C_1': ["A","B","C","D"],
    'C_2':  [40,34,38,45],
    'C_3': [430, 980, 500, 350],
}]

filtered_df=df.query['[C_2 < 40] & [C_3 > 450]']

row_1_filtered=filtered_df.head[1]

print["The DataFrame is:"]
print[df,"\n"]

print["The Filtered DataFrame is:"]
print[filtered_df,"\n"]


print["The First Row with C_2 less than 45 and C_3 greater than 450 is:"]
print[row_1_filtered]

Output:

The DataFrame is:
  C_1  C_2  C_3
0   A   40  430
1   B   34  980
2   C   38  500
3   D   45  350

The Filtered DataFrame is:
  C_1  C_2  C_3
1   B   34  980
2   C   38  500

The First Row with C_2 less than 45 and C_3 greater than 450 is:
  C_1  C_2  C_3
1   B   34  980

It will filter all the rows with the value of column C_2 less than 45 and the value of C_3 column greater than 450 using the query[] method and then select the first row from the filtered_df using the head[] method.

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